Conference
Key Dates Extended abstract submission due: 3 Nov 2025 (extended) Extended abstract acceptance notification: 1 Dec 2025 Extended abstract camera ready: 22 Dec 2025 Talk summary submission due: 5 Jan 2026 (TBA) Talk summary acceptance notification: 19 Jan 2026 (TBA) Conference Date: 18 April 2026 - Co-located with the 48th IEEE/ACM International Conferenceon Software Engineering (ICSE 2026) atRio de Janeiro, Brazil About the Summit The Summit will be a one-day in-person (NOT hybrid) workshop on Saturday, 18 Apr 2026. Authors of accepted talk summaries and extended abstracts are required to register and attend the Summit in person. The Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), published by the IEEE Computer Society (IEEE CS), reflects the current state of generally accepted, Consensus driven knowledge and skills derived from the interaction between software engineering (SE) theory and practice. There are numerous purposes for using the SWEBOK Guide, including guiding education and training, facilitating professional development, and standardizing practices. This Summit is a premier industry-focused event, bringing together practitioners, researchers, and educators from the SE communities to collaborate, share experiences and challenges, and provide future research directions on the body of knowledge, skills, and competencies required for current and future SE professionals, as well as related professional training and certifications. The Summit also encourages the use of the SWEBOK Guide to address SE-specific challenges. Furthermore, the results of the Summit will provide valuable input to further the evolution of the SWEBOK Guide, as well as related programs and products, such as SE Certifications. The 1st IEEE SWEBOK Summit was successfully held in Ottawa as part of ICSE 2025. The 1st Summit covered a variety of topics, including the following: Introduction of SWEBOK Guide V4.0, industry adoption and application, professional development and job, education and curriculum, standards and other related knowledge…
Submissions Due: 3 November 2025 (Extended)
Journal - IEEE Transactions on Affective Computing
Important Dates Manuscript Submission Deadline: April 2026 Art design serves as a vital medium for emotional expression and communication, distinguished by its rich emotional representation and profound impact on human emotions. It transcends being merely a visual and sensory experience; it is an important means to evoke emotional resonance and facilitate deeper emotional connections. In the realm of health and well-being as well, art design has been increasingly recognized for its therapeutic potential, particularly in the context of art therapy. By engaging individuals in creative processes, art design can help them explore and express emotions, thereby promoting emotional healing and mental health. With the rapid advancement of artificial intelligence (AI) technologies, the intersection of affective intelligence and art design has emerged as a highly promising field. Through natural language processing, multimedia analysis, and emotion analysis, AI can now identify and simulate human emotions with remarkable accuracy. This capability significantly enhances the integration of affective computing and art design, opening new avenues for creative expression and emotional engagement. Art design has the potential to create multi-sensory emotional experiences for audiences, helping them better understand and express their emotions. By leveraging cutting-edge technologies such as virtual reality (VR), augmented reality (AR), and other dynamic effects, art design can create immersive emotional experiences that further enhance the diversity and depth of emotional expression. This interdisciplinary fusion not only advances the theoretical development of affective intelligence but also provides robust technological support for the innovation of art design. This special issue aims to gather cutting-edge research at the intersection of affective intelligence and art design, promoting interdisciplinary collaboration and innovation. We invite high-quality papers from scholars and practitioners in psychology, computer science, art design, and related fields to explore the theoretical and practical prospects of affective intelligence and art design. Consequently, potential topics include…
Submissions Due: April 2026
Magazine - Computer
Important Dates Submission Deadline: 18 December 2025 Publication Date: August 2026 Neuromorphic computing is rapidly emerging as a transformative paradigm for intelligent systems, leveraging biologically inspired principles to overcome traditional performance and scalability bottlenecks. Recent breakthroughs in hardware, including mixed-signal neuromorphic processors, photonic computing elements, and non-volatile memory devices such as spintronics and memristive arrays, are enabling ultra-low-power, event-driven architectures tailored for real-time edge intelligence and post-Moore innovation. Simultaneously, advances in computational models, including spiking neural networks, synaptic plasticity mechanisms, and hybrid analog-digital frameworks, are redefining how learning and adaptation can be embedded natively in hardware. The tight co-design between physical substrates and algorithmic behavior offers new frontiers for energy efficiency, robustness, and contextual learning across domains ranging from autonomous sensing to cognitive robotics. This special issue of IEEE Computer Magazine will illuminate the convergence of architectural innovation and adaptive algorithms within neuromorphic systems. It aims to capture multidisciplinary progress in design methodologies, hardware-software integration, fabrication technologies, and real-world deployments. Contributions will showcase both foundational research and scalable implementations, fostering deep collaboration across academia, industry, and government labs. The issue will be of particular interest to researchers and practitioners in AI hardware acceleration, embedded and cyber-physical systems, post-Von Neumann architectures, and cognitive computing. Topics The topics of interest include, but are not limited to: Mixed-signal neuromorphic ICs and event-based sensor integration Photonic neuromorphic computing and ultra-fast signal processing Spintronic and memristor-based memory devices for neuromorphic learning In-memory and 3D memory architectures for post-Moore scalability Spiking neural networks: training, optimization, and deployment STDP, Hebbian learning, and biologically plausible adaptation Edge-intelligence platforms for robotics, IoT, and autonomous systems Benchmarking methodologies and co-simulation frameworks for neuromorphic evaluation Software toolchains for neuromorphic development and cross-layer co-design Ethical and societal implications of brain-inspired computation Submission Guidelines For author information and guidelines on submission criteria, visit…
Submissions Due: 18 December 2025
Conference
Conference dates: 8 - 10 May, 2026 | Granada, Spain The IEEE Conference on Artificial Intelligence (CAI) The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics AI Research Verticals Healthcare Life Sciences Human-Robot Collaboration Sustainable and Trustworthy AI Multimedia, Virtual Reality, and Teleoperation Business Intelligence/Finance Generative AI Models Agentic AI/AI for Education We invite proposals for three types of tutorials, and we especially encourage submissions from early-career researchers: Cutting-edge to AI research: Tutorials that cover advances in newly emerging areas. The tutorials are expected to briefly introduce the topic, but participants are assumed to have some prior knowledge of it. The class will discuss the most recent developments in the field and point out open research questions and essential novel research directions. Introductory to one of the AI research verticals: Tutorials that provide introductions to topics that are established in the AI communities. The lecturers provide an overview of the development of the field from the beginning until now. Attendees are not expected to come with prior knowledge. They acquire a sufficient understanding of the topic to understand the most recent research in the field. Legal, ethical, governance, and standards of AI: Tutorials that provide introductions to established or emerging topics in areas. The lecturers give an overview…
Submissions Due: 30 October 2025
Conference
Conference dates: 13 - 16 May, 2026 | Atlanta, Georgia, USA The 34th IEEE International Symposium on Field-Programmable Custom Computing Machines The IEEE Symposium on Field-Programmable Custom Computing Machines is the original and premier forum for presenting and discussing new research related to computing that exploits the unique features and capabilities of FPGAs and other reconfigurable hardware. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Custom Computing and Reconfigurable Architectures: Heterogeneous and mixed signal digital/analog field customizable accelerators Neuromorphic emulation and accelerators Memory centric computing architectures Overlays, coarse grained reconfigurable architectures Clusters, data centers, and large systems IoT and Embedded SoC, MPSoC architectures Security enhancements for reconfigurable computing Customizable soft processor systems Abstractions, Programming Models, and Tools: Use of Large Language Models (LLMs) for FPGA design Domain-specific languages, frameworks, and open-source hw/sw synthesis/compilation tools Software-defined-systems (e.g. radio, networks, frameworks for new domains) CAD tools, abstractions, and languages for mixed analog/digital fabrics Run Time Reconfiguration: Run-time management and scheduling of reconfigurable hardware System resilience/fault tolerance for reconfigurable hardware Evolvable, adaptable, approximate, or autonomous reconfigurable computing systems Security assessment and enhancement of run-time reconfiguration Applications: Evaluations and analysis on custom computing architectures with GPUs, NPUs, or DSPs Post Quantum Cryptography, Quantum control and emulation Submit your content In addition to submitting your paper to IEEE FCCM 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing…
Submissions Due: 10 January 2026
Magazine - Computer
Important Dates Submission Deadline: 13 April 2026 Publication: December 2026 A governance system can be understood as the full set of institutional arrangements, including rules and agents who create them, that regulate transactions within and across the boundaries of economic systems (Hollingsworth, Schmitter & Streeck, 1994). These arrangements encompass both state and non-state organizations and operate through formal and informal rules, norms, and beliefs. In the context of artificial intelligence (AI), governance systems determine how data is collected, shared, and safeguarded, how algorithms are trained and deployed, and how accountability is ensured (Shin & Ahmad, 2025). Effective AI governance is therefore critical to balancing innovation with ethical, legal, and social considerations. New AI-related regulative institutions are rapidly expanding to address these concerns. Some focus narrowly on specific activities, such as employment, while others provide comprehensive frameworks covering the full spectrum of AI use. For instance, in April 2023, New York City introduced definitive guidelines governing the use of automated employment decision tools in hiring and promotion (Paretti, Ray, Freedberg & McPike, 2023). At the same time, broader regulatory initiatives are underway in major jurisdictions including China, the EU, Japan, the U.K., and the U.S., each seeking to establish rules that ensure AI systems are safe, transparent, and accountable. In many cases, normative frameworks and rules have emerged to fill regulatory gaps, especially where formal agencies remain underdeveloped or absent (Kshetri, 2024). These mechanisms are typically prescriptive rather than coercive, guiding behavior without the force of law. Such institutions include voluntary guidelines and codes of conduct, technical standards, and certification programs, all of which provide structure and accountability in the absence of comprehensive regulation. As AI technologies rapidly expand across sectors such as healthcare, finance, education, defense, and government, the need to safeguard responsible use, transparency, and accountability has become more…
Submissions Due: 13 April 2026
Conference
Conference dates: TBD The IEEE Conference on Artificial Intelligence (CAI) The IEEE Signal Processing Society (SPS) invites proposals to host the 2027 IEEE International Conference on Artificial Intelligence (CAI). This premier international conference and exhibition bridges academic excellence with industrial relevance, emphasizing AI's practical applications and promoting its adoption across various sectors while maintaining high technical standards. Learn More Why Participate? IEEE CAI serves as a hub for AI leaders and innovators from industry, government, startups, and academia. Attendees have the opportunity to engage directly with researchers, experts, and solution providers to gain inspiration, explore cutting-edge solutions, and exchange impactful ideas. This conference is a collaborative initiative jointly sponsored by IEEE and four of its Societies: the Computational Intelligence Society (CIS), the Computer Society (CS), the Systems, Man, and Cybernetics Society (SMC), and the Signal Processing Society (SPS). We welcome proposals for locations that boast a strong industry presence, particularly in regions rich with artificial intelligence opportunities and applications. A key objective of the conference is to showcase AI’s transformative impact across diverse vertical markets. Submit A Proposal
Submissions Due: 1 October 2025
Conference
Conference dates: 2 – 6 June, 2026 | Denver, Colorado The IEEE/CVF Conference on Computer Vision and Pattern Recognition The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics 3D from multi-view and sensors 3D from single images Adversarial attack and defense Autonomous driving Biometrics Computational imaging Computer vision for social good Computer vision theory Datasets and evaluation Deep learning architectures and techniques Document analysis and understanding Efficient and scalable vision Embodied vision: Active agents, simulation Event-based cameras Explainable computer vision Humans: Face, body, pose, gesture, movement Image and video synthesis and generation Low-level vision Machine learning (other than deep learning) Medical and biological vision, cell microscopy and so much more! Submit your content In addition to submitting your paper to IEEE/CVF CVPR 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to…
Submissions Due: 6 November 2025
Magazine - IEEE Internet Computing
Important Dates Submission Deadline: 1 December 2025 Publication: July/August 2026 In the era of Generative AI, the creation and manipulation of digital content have reached unprecedented levels of scale, realism, and automation. Technologies powered by Large Language Models (LLMs) and deepfake generators now enable the production of highly convincing synthetic media—including text, audio, video, and images—that blur the line between fact and fabrication. These tools are increasingly exploited to spread disinformation, distort public discourse, and amplify digital polarization across online platforms. As synthetic content proliferates across social media, news sites, and forums, existing moderation and trust mechanisms are struggling to keep pace. This raises critical challenges for content authentication, platform governance, and the robustness of our online information ecosystem. This Special Issue seeks to bring together researchers, system designers, and practitioners who are developing technologies and methodologies to understand, detect, and mitigate the misuse of generative AI in Internet-based systems. We welcome contributions that are practical, applied, and system-oriented, including prototypes, deployment studies, and empirical evaluations. Topics of Interest We invite original research articles, system designs, critical analyses, and interdisciplinary studies including—but not limited to—the following areas: Detection, analysis, and mitigation of disinformation generated by LLMs and deepfakes in online environments Systems for deepfake detection across image, video, and audio modalities Internet-based tools for content authentication, media provenance, and credibility scoring Case studies of AI-enabled information manipulation Web and cloud services that integrate generative AI threat intelligence Privacy-preserving and explainable AI techniques for online content verification Decentralized systems that support trust, provenance, and integrity at scale Submission Guidelines For author information and guidelines on submission criteria, visit the Author’s Information Page. Please submit papers through the IEEE Author Portal and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for…
Submissions Due: 01 December 2025
Conference
Conference dates: 14 – 16 January 2026 | Hanoi, Vietnam The 40th International Conference on Information Networking We invite all members of the international computer communications and networking community to submit their works to the 40th International Conference on Information Networking to be held in the beautiful city of Hanoi, Vietnam from January 14-16, 2026. ICOIN is organized by the Korea Institute of Information Scientists and Engineers (KIISE). It is technically co-sponsored by IEEE and IEICE (pending). Since its inception as the Joint Workshop on Computer Communication in 1986, ICOIN has been the most comprehensive conference on advances in computer communication and networking technologies for 40 years. Computer communication and networking technologies have changed every aspect of our lives and society. International Conference on Information Networking 2026 will continue to play a pivotal role in the new IT paradigms which will influence various sectors of society in the future. Authors are invited to submit original, unpublished manuscripts that demonstrate recent advances in computer communication, wireless/mobile networks, and converged networks from both theoretical and practical perspectives. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics 5G/6G communications systems AI-enabled communication systems and networks Big data/cloud computing and networks Blockchain platforms and services Cognitive radio Communication and information security, trust, and privacy Content distribution network Cooperative communication and networking Cyber-physical system Energy-efficient protocols Future Internet and networking systems Green communication systems and networks Healthcare systems and networks Industrial networks and…
Submissions Due: 24 October 2025
Conference
Conference dates: 5 – 7 November, 2025 | Lisbon, Portugal The 23rd IEEE International Symposium on Network Computing and Applications NCA is a successful series of conferences that serves as a large international forum for presenting and sharing recent research results and technological developments in Network and Cloud Computing. Sponsored by the IEEE Computer Society, NCA reaches out to researchers, practitioners, academia, and industry. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Theory of Network Computing Autonomic Network Computing Content Delivery Network (CDN) High Speed Networks/Protocols and Middleware Routing Mechanisms Overlay Networks/Peer-to-Peer Systems System Area Networks (SAN)/Clusters Performance Modeling/Quality of Services (QoS) Issues Web Caching and Switching Dependable Wide, Local, and System Area Networks Network Security Intrusion-Tolerant Networked Systems Scalable and Dependable Servers and Data Centers Middleware for Dependable Network Computing Self* (Configuring, Healing, Optimizing, Protecting, Organizing, Aware) Platforms for Network Computing Network Protocols: Verification and Validation Autonomic Network Computing for Achieving Self* Properties and Applications Availability Seamless and Virtual Capabilities for Implementing Self* Properties Software Defined Networking (SDN): Principles and Implementation Designing Highly-Available and Secure SDN Network Functions Virtualization (NFV): Design and Optimization Network Cloud Computing Machine Learning Techniques for Networks and Cloud Resources Management Big Data in Clouds for IoT Future Internet and Communicating Objects Mobile Ad-Hoc Networks (MANET) New services and applications for network sensor systems Fog/Edge Computing (including Compute Continuum). Energy-Efficient Computation and Communication Applications to Real and/or Complex Problems, Practical Experiences and…
Submissions Due: 30 August 2025
Magazine - Computing in Science & Engineering
Important Dates Submissions due: 21 January 2026 Publication date: July - September 2026 The past years have seen an explosive growth in the use and adoption of artificial intelligence (AI) and machine learning (ML) frameworks across industries and applications, driven largely by advances in deep learning architectures, increased computational power, and the availability of massive datasets for model training. Emerging foundational models such as OpenAI’s GPT series and Google’s Gemini have revolutionized natural language processing by enabling zero-shot and few-shot learning capabilities, significantly reducing the need for task-specific training. Generative models like DALL-E, Stable Diffusion, and ChatGPT have transformed not only creative industries but also scientific research by enabling on-the-fly creation of new content, such as high-quality images, text and even code. Within the field of Scientific ML (SciML), deep learning (DL) models have demonstrated utility as fast non-intrusive surrogates for expensive high-fidelity models. They have also been used to enable data-driven physics discovery. While AI/ML have shown potential for advancing research in various science and engineering applications, applying AI/ML methods within these domains comes with some challenges, including: Data quality and availability: scientific data are often scarce, noisy and/or incomplete, which limits the training of accurate AI/ML models. Interpretability: many AI/ML models act as “black boxes,” making it difficult to understand or trust their predictions in scientific applications where explainability is essential. Generalization, robustness and trustworthiness: models trained on specific datasets may not generalize well to new, unseen conditions or scales, which is problematic in scientific applications requiring trusted predictions with quantifiable error bounds. Systematic refinement mechanisms: unlike traditional discretization methods, it is often not clear how to “refine” an AI/ML model to ensure it satisfies a specified error tolerance and converges to the sought-after physical solution. Physics and structure preservation: AI/ML models do not always respect the physics…
Submissions Due: 21 January 2026
Magazine - Computer
Important Dates Submissions deadline: 20 November 2025 Publication: July 2026 IEEE Computer magazine welcomes papers that examine how to detect and counteract disinformation and misinformation. Our goal is to identify and distill patterns and anti-patterns from which to learn, both as practitioners and as researchers. The rise of Generative AI has revolutionized the way we work, learn, and communicate. From code synthesis to language translation, generative tools promise efficiency and creative support. Yet, there is also a growing threat with generating and spreading disinformation and misinformation. For software engineers and computer scientists, this represents not just a technical challenge, but a profound ethical responsibility. A few examples illustrate how disinformation and misinformation are fueled by IT systems, and how the software community can counteract. A secretive network of around 3,000 “ghost” accounts on GitHub has been manipulating pages on the code-hosting website to promote malware and phishing links. Cybercriminals created fake forks of legitimate repositories. They injected malicious runtime code that, upon import, executed shell commands fetched from external URLs on project initialization. This fake repository operated like trusted software but delivered hidden malware. Code that looks safe may contain logic bombs, backdoors, or spyware. Countermeasures include verifying repository integrity such as commit, use static code analysis tools for any code being downloaded, and performing enhanced sandboxed execution before deploying or sharing code. Attackers are increasingly cloning senior managers’ voice via deepfake technology to spread disinformation in companies and across. A popular misuse is creating a sense of urgency that money must be transferred to a potential client or partner to receive a contract. A well-phrased hallucination might sound more believable than an awkward but accurate human answer. Countermeasures include implementing biometric voice anomaly detection, demanding multi-channel authentication workflows, and monitoring transaction behavior for signs of impersonation fraud. A remedy…
Submissions Due: 20 November 2025
Magazine - IEEE Computer Graphics and Applications
Important Dates Submissions deadline: 31 October 2025 Publication: May 2026 Open standards for 3D graphics and visualization play a crucial role in various fields, such as virtual and augmented reality, simulation, training systems, 3D visualization, 3D printing, and digital twins. Broadly suitable for import/export composition and Web publishing across various file formats and codebases, unifying publication standards such as X3D offers a path for deliberately sharing any 3D graphics models that include animation, user interactivity, navigation support, and HTML integration. What impacts are there on the world and the Web change as hyperlinked 3D graphics become more easily shareable, viewable, and accessible to anyone? This special issue will showcase over 30 years of continuing innovation and publication in the field of Web3D. We invite researchers, practitioners, and industry experts to contribute to this special topic on Web3D technologies, including the advancements, innovations, and real-world implementations of standards in various domains. Topics of interest include, but are not limited to: Advancements in Web3D technology – new extensions, file encodings, programming-language frameworks, and rendering techniques Web-based 3D visualization – interactive and immersive experiences leveraging data-driven Web3D for information exploration and discovering insights in virtual and augmented reality applications of all sorts exposing and connecting GIS, CAD, BIM, medical, ergonomics, and humanoid animation cross-platform, cross-domain human-computer interaction (HCI), unrestricted accessibility, and user experience modeling, simulation, computational-science experimentation, and training systems digital twins and smart environments cultural heritage, digital museums, artifact preservation, and curated archival content Building large-scale model libraries to expose high-quality 3D models as a practical first-class media type, customizable for any end-user purpose on the Web Interoperability and standardization: interconnecting 3D Web across numerous arbitrary technologies and platforms, including emerging Metaverse applications Importance of metadata vocabularies, query ontologies, and 3D shape search Historical surveys of the numerous 3D technologies that have…
Submissions Due: 31 October 2025
Journal - IEEE Transactions on Dependable and Secure Computing
Important dates Submission deadline: 30 April 2026 First-round decision notification: 20 July 2026 Revised manuscript due: 30 August 2026 Final decision notification: 20 October 2026 AI-generated contents have taken the world by storm. AI-generated contents now spans a wide range, including AI-generated videos, images, audios, and texts. Fueled by the accessibility of large-scale media datasets and the maturity of AI generation technologies, currently one may effortlessly create massive forgery images, videos, audios, and texts beyond human discernibility. These medias play important roles in filmmaking, electronic games, image editing, and education. It is thus not surprising that generative AI is redefining the video industry and many other industries. However, despite their positive widespread use, malicious actors can leverage advances in AI generation technologies for nefarious purposes. They may forge high-quality artifacts to perform scam, generate and propagate fake pornography, and challenge face recognition systems, to name a few. To alleviate the abuse of AI generation technologies, it is of paramount importance to develop sound detection and tracking approaches. This special issue aims to bring together the cutting-edge advancements in AI content generation and detection, diving deeper into AI image generation, AI video generation, AI audio generation, AI text generation, and AI generated content detection tasks. We are interested in AI-Generated data covering a wide scope, from images, audios, texts, to videos. We expect the contributions focusing on innovative techniques for AI content generation and detection, including methodologies and algorithmic approaches to solve theoretical and practical problems. We also encourage the research on potentially impactful and related technologies. The topics of interest for the Special Issue encompass, but are not limited to: AI-Driven Content Generation AI-Generated Content Detection Face Forgery Detection and Localization Cross-modal Content Generation Human Motion Synthesis Explainability and Interpretability in AI Content Generation Privacy Preservation Techniques in AI-Generated Content…
Submissions Due: 30 April 2026
Journal - IEEE Transactions on Dependable and Secure Computing
Important dates Submission Deadline: 31 March 2026 First Review Due: May 31, 2026 Revision Due: June 30, 2026 Second Review Due / Notification: July 31, 2026 Final Manuscript Due: August 31, 2026 Publication Date: To be determined The rise of distributed systems and pervasive computing has transformed how devices, systems, and services interact, creating a highly interconnected ecosystem. As the scale and complexity of these systems grow, issues related to security, privacy, and efficient management of decentralized resources become more pronounced. Addressing these challenges is critical to ensuring the security and privacy of user data, as well as compliance with regulatory standards in sensitive domains such as healthcare, finance, and beyond. Federated Learning, a cutting-edge distributed learning paradigm, has emerged as a powerful tool for decentralized model training, enabling data privacy and reducing the need for central data aggregation. This method is pivotal in scenarios where data security and privacy are paramount. Furthermore, Federated Unlearning—an innovative approach in the privacy-preserving space—focuses on the selective removal of data from models, which is essential for complying with data protection regulations and adapting to evolving privacy laws. This special issue invites original contributions that explore the advanced technologies in Federated Learning and Unlearning, with an emphasis on their applications in security-sensitive environments. We welcome research papers that present novel methodologies, architectures, and strategies for enhancing the security, privacy, and efficiency of federated systems. All submissions will undergo peer review to ensure relevance and quality in line with the theme of this special issue. Submission Guidelines: For author information and guidelines on submission criteria, please visit the Author Information Page. Please submit papers through the IEEE Author Portal, and be sure to select the special-issue name. Manuscripts should be written in English and describe original research. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only…
Submissions Due: 31 March 2026
Conference
Conference dates: 7 – 10 July, 2026 | Madrid, Spain IEEE Signature Conference on Computers, Software, & Applications The theme for COMPSAC 2026, Agentic AI: Innovative Software, Computing Paradigms, and Applications for Migrating from Reactive Models to Proactive Systems, highlights a crucial shift in artificial intelligence. Traditional AI has focused on generating information or responding to queries, but the next wave of AI development centers on proactive AI agents—systems that plan multi-step processes, make autonomous decisions, and learn from their interactions. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Blockchain Accessibility Rehab Engineering Autonomous decision-making & task planning Multi-agent coordination & communication Reinforcement learning & adaptive algorithms Tool usage & integration Explainability, transparency & trust Ethical, social & safety considerations Multimodal perception & interaction Human-agent collaboration & social interaction Robustness & scalability in real-world environments Submit your content In addition to submitting your paper to IEEE COMPSAC 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent…
Submissions Due: 15 October 2025
Magazine - IEEE Computer Graphics and Applications
Important Dates Submissions deadline: 30 November 2025 Publication: May 2026 (ETA) Intelligent Computer-Aided Design (CAD) is rapidly reshaping design, engineering, and manufacturing. By integrating artificial intelligence (AI), machine learning (ML), and advanced computational techniques, CAD systems are evolving beyond traditional geometric modeling tools into intelligent collaborators. These systems can now understand design intent, generate novel solutions, perform complex analyses, and optimize outcomes for multifaceted objectives. This shift promises to revolutionize how products are conceived, developed, and delivered by enabling new levels of creativity, efficiency, customization, and performance. At the same time, CAD presents a rich and challenging testbed for AI, with its structured data, strict constraints, and inherent complexity. This special issue of IEEE Computer Graphics and Applications (CG&A) aims to showcase the latest research and forward-looking developments in the field of Intelligent CAD. We welcome high-quality, original submissions that explore innovative theories, methodologies, applications, and systems at the intersection of AI and CAD. We especially encourage papers that demonstrate how intelligent systems can augment human creativity and transform real-world design workflows. Types of Contributions: Research papers introducing novel models, methods, or systems Application papers highlighting impactful real-world deployment Position papers presenting visionary ideas, emerging challenges, or bold perspectives on the future of Intelligent CAD Topics of Interest include (but are not limited to): Deep learning for CAD modeling and reverse engineering Reinforcement learning for design automation and optimization Predictive modeling and simulation using AI Topology optimization enhanced by AI Semantic enrichment of CAD models using AI techniques Knowledge capture and reuse through AI-driven methods AI-based mining of CAD repositories for pattern and insight discovery Generative design for additive manufacturing AI-driven design for manufacturing, assembly, and sustainability Personalized and adaptive CAD environments enabled by AI AI-enhanced user interfaces and design interaction Human-in-the-loop and co-creative CAD systems AI-supported collaborative and cloud-based…
Submissions Due: 30 November 2025
Magazine - IEEE Software
Important Dates Submission Due: 15 December 2025 Expected Publication: Sept/Oct 2026 Agentic engineering is an emerging discipline focused on the design, development, and operation of systems that exhibit goal-directed autonomy, reasoning, and continuous evolution. Foundation models (FMs), such as large language models (LLM), have been accelerating progress in this area across academia and industry. Agentic systems often involve multiple interacting agents, humans, and tools, requiring rigorous system-level engineering to ensure critical qualities like robustness, safety, and observability. A key design challenge in agentic engineering is the growing capability of FMs/LLMs. Developers must decide whether to rely on the FM/LLM or external tools/systems for the same functionality. These decisions can be made at various stages depending on the problem and context: during design time, development time, or event at runtime from a software engineering perspective, and at pre-training time, post-training time, test/inference time, and post-inference time from an AI perspective. Highly autonomous agentic systems also require continuous monitoring, evaluation, observability, intervention, and oversight after deployment, an emerging discipline referred to as AgentOps. Designing this post-deployment environment is also highly complex, with many interdependent design choices. This special issue aims to address these challenges by exploring cutting-edge engineering methods, techniques, tools, and practices for agentic systems. It seeks articles that provide with insights into the design, development, and operation of agentic systems, emphasizing practical applications and real-world experiences. Topics of interests include, but are not limited to: Requirements engineering for agentic systems Architectural design for agentic systems Verification, validation, and testing of agentic systems AgentOps - DevOps for agentic systems Development processes and lifecycle management for agentic systems Evaluation methodologies, tools, and benchmarks for agentic systems Responsible AI and AI safety of agentic systems Agentic systems for software engineering, including requirements, design, coding, testing, deployment, and operations Human-agent interaction, collaboration, and oversight…
Submissions Due: 15 December 2025
Magazine - IT Professional
Important Dates Submission deadline: 30 October 2025 Publication date: May/June 2026 AI—especially generative AI (GAI)—is exerting a profoundly disruptive influence on academia. One of the primary reasons is GAI’s ability to produce content that closely mirrors human-authored writing, raising fundamental questions about authorship, originality, and assessment (Howell & Potgieter, 2023). As The Atlantic starkly put it in December 2022, “The College Essay Is Dead,” warning that “Nobody is prepared for how AI will transform academia” (Marche, 2022). Building on GAI’s capabilities, the emergence of AI agents—autonomous systems capable of making decisions and performing tasks—is ushering in a new phase of educational disruption. These agentic AI systems support more personalized, adaptive learning and are poised to reshape how educational content is delivered and managed, especially as part of the rapidly expanding EdTech landscape (Kshetri, 2025). Academic institutions have responded to GAI tools in widely divergent ways. Some have rushed to integrate these technologies into their curricula, often without fully considering their pedagogical, ethical, and assessment implications. Others have adopted a more measured approach, experimenting with GAI to better understand its impact on teaching and learning. In contrast, a number of institutions have taken restrictive stances, implementing outright bans on these tools due to concerns about academic integrity and misuse. The rise of AI agents presents new challenges for colleges. For example, AI agents could automate tasks like identifying and submitting missing assignments through learning management systems (LMS), potentially diminishing active student engagement. As these technologies continue to advance, higher education institutions (HEIs) will need to rethink course design and the fundamental purpose of education to ensure that learning remains meaningful and impactful in an AI-driven era (Gulya, 2024). Amid these controversies, the rapid adoption of generative AI in higher education is fundamentally reshaping both how students learn and how institutions approach…
Submissions Due: 30 October 2025
Conference
Conference dates: 6–10 March, 2026 | Tucson, Arizona IEEE/CVF Winter Conference on Applications of Computer Vision The Winter Conference on Applications of Computer Vision (WACV) is the premier international computer vision event, comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics, and industry researchers. The contribution deadlines are 11 Jul 2025 (first round) and 12 Sept 2025 (second round). Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes, and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Agriculture Animals and Insects Arts, games, and social media Autonomous driving Biomedical, healthcare, and medicine Commercial and retail Education Embedded sensing and real-time techniques Environmental monitoring, climate change, and ecology Food science and nutrition Psychology and cognitive science Remote sensing Robotics Smartphones and end-user devices Social good Structural engineering and civil engineering Virtual and augmented reality Visualization Authors are also encouraged to submit more traditional computer vision algorithms papers. Topics of interest include, but are not limited to: 3D computer vision Adversarial learning, adversarial attack, and defense methods Biometrics, face, gesture, and body pose Computational photography Generative models for image, video, 3D, etc. Datasets and evaluations Explainable, fair, accountable, privacy-preserving, and ethical computer vision Image recognition and understanding (object detection, categorization, segmentation, scene modeling, visual reasoning) Low-level and physics-based vision Machine learning architectures, formulations, and algorithms (including transfer, low-shot, semi-, self-, and unsupervised learning) Video recognition and understanding (tracking, action recognition, etc.) Vision +…
Submissions Due: 12 September 2025
Magazine - IEEE Internet Computing
Important Dates Submission Deadline: 10 November 2025 Publication: May/June 2026 Call for Papers As a distinct and rapidly expanding class of Internet infrastructure, the Internet of Things (IoT) connects billions of devices across homes, industries, cities, and critical systems. These devices play vital roles in domains such as healthcare, transportation, energy, and manufacturing, enabling real-time monitoring, automation, and intelligent decision-making. However, the growing scale and ubiquity of IoT deployments have also introduced a complex and evolving attack surface that traditional security solutions are ill-equipped to handle. The security landscape of IoT is characterized by heterogeneity in hardware and software platforms, limited computational resources, and fragmented standards across vendors. Threats can arise from numerous sources, including device misconfigurations, outdated firmware, insecure communication protocols, or malicious interference with sensor data and control logic. Furthermore, IoT systems often operate in untrusted environments, where physical access and environmental manipulation by adversaries are realistic threats. Traditional security mechanisms (typically rule-based, static, and designed for more homogeneous computing environments) struggle to scale effectively in this context. As IoT becomes deeply embedded in critical infrastructure and everyday life, ensuring its security is no longer optional, it is imperative. There is an urgent need for systematic approaches that can address vulnerabilities across the software, network, and physical layers of IoT systems; detect and respond to anomalies in real time; generate secure configurations for diverse device ecosystems; and ensure resilience against both external and insider threats. This special issue seeks to highlight recent advances in IoT security, with a particular focus on scalable, practical, and cross-layer solutions. We welcome research that addresses foundational challenges as well as emerging threats in real-world IoT deployments. Topics of interest include (but are not limited to): Security monitoring and anomaly detection in IoT systems Design, synthesis, and enforcement of access control policies for…
Submissions Due: 10 November 2025
Journal - IEEE Transactions on Big Data
Important Dates Submission Deadline: 31 December 2025 First-Round Review Notification: 31 March 2026 Final Decision Notification: 30 June 2026 Tentative publication: Mid-2026 In the era of big data, the ubiquity of multi-modal data presents significant opportunities across various domains, from multimedia applications to intelligent systems. Multi-modal learning allows models to understand and process information from multiple data sources and modalities, leading to richer, more nuanced representations of the real world. For example, virtual assistants that integrate both text and visual information can provide more precise and context-aware responses. In autonomous driving, the fusion of data from cameras, lidars, and GPS enhances the vehicle’s perception, enabling more accurate decision-making. As multi-modal data continues to proliferate, its potential to revolutionize fields such as healthcare, autonomous systems, robotics, and personalized recommendations has become increasingly apparent. However, despite the remarkable progress made in multi-modal learning, there remain significant gaps in fully leveraging the potential of multi-modal data. Large language models (LLMs) like GPT and LLaVA have demonstrated exceptional performance in natural language processing (NLP) tasks, yet their ability to handle and integrate multi-modal data remains limited. Extending these models to encompass multiple modalities—text, images, video, and audio—requires overcoming various theoretical and practical challenges. The inherent complexity of multi-modal data—characterized by diverse formats, feature distributions, and semantic meanings—poses a significant barrier to developing unified models capable of effectively processing this data. Several key challenges still hinder the successful integration of multi-modal learning in real-world applications. One primary challenge is the effective fusion of heterogeneous data sources. Each modality often presents unique characteristics and challenges, such as differing formats or semantic structures, making seamless integration difficult. Another significant challenge is the online learning of dynamic, continuously generated multi-modal data. Unlike static datasets, real-world multi-modal data requires models that can adapt incrementally, learning from new data without…
Submissions Due: 31 December 2025
Journal - IEEE Transactions on Services Computing
The rapid growth of machine learning as a service has revolutionized industries such as healthcare, finance, transportation, and e-commerce. While ML significantly enhances service efficiency and personalization, it raises considerable concerns regarding privacy breach and unauthorized data exploitation. Thus, ensuring privacy in ML-driven services has become critical for gaining public trust and the compliance with data regulations. Privacy-preserving machine learning (PPML) is attracting increasing attention. This paradigm resorts to advanced privacy-enhancing techniques (PET) such as secure multi-party computation (SMPC), homomorphic encryption (HE), differential privacy (DP), and trusted execution environments (TEE), to protect both ML models and sensitive data throughout the ML lifecycle. However, delivering scalable, efficient, and secure ML services while preserving privacy remains challenging due to issues such as computational complexity, data heterogeneity, real-time constraints, and model accuracy trade-offs. This special issue aims to bridge research gaps at the intersection of machine learning, service computing, and privacy-enhancing techniques. We invite high-quality original submissions addressing theoretical advances, practical algorithms, frameworks, and methodologies that leverage PETs to secure ML service in a privacy-preserving, efficient, and robust manner. Topics of Interest Topics of interest include, but are not limited to: Federated learning for privacy-preserving ML services Secure multi-party computation and homomorphic encryption for ML-as-a-service Differential privacy methodologies and their integration into ML services Trusted execution environments for secure and private ML computations Privacy-preserving techniques in distributed ML service architectures (e.g., edge computing) Scalable privacy-preserving ML protocols for real-time analytics and streaming data services Privacy-preserving deep learning for computer vision, natural language processing, and multimodal service applications Privacy threat analysis in AI agent services Privacy-assured solutions for securing AI agent service and service protocols Privacy-preserving recommendation services and personalized service delivery Privacy-preserving ML-based analytics in real-world sectors such as healthcare, financial services, transportation, and smart city infrastructures Fairness, transparency, interpretability, and trust in…
Submissions Due: 1 October 2025
Magazine - IEEE Pervasive Computing
Important Dates Title and abstracts due: Jan 25, 2026 (email to pvc4-2026@computer.org) Full Manuscripts due: Feb 1, 2026 (via submission site) Publication: Oct-Dec 2026 Call for Papers Mission-critical systems—those whose failure could result in loss of life, significant property damage, or catastrophic disruption—are foundational to modern society. These include domains such as healthcare, emergency response, industrial automation, aerospace, defense, and critical infrastructure. The reliability, responsiveness, and resilience of such systems are paramount, and their evolution increasingly depends on intelligent sensing, real-time decision-making, and context-aware operation. Pervasive computing, with its emphasis on embedded intelligence, contextual responsiveness, and seamless integration with physical environments, offers compelling opportunities to strengthen the capabilities and robustness of mission-critical systems. Through distributed sensing, edge computing, secure communication, and adaptive interfaces, pervasive systems can support continuous monitoring, predictive maintenance, situational awareness, and rapid human-machine collaboration under high-stakes conditions. At the same time, introducing pervasive computing into mission-critical environments raises new challenges in system dependability, real-time performance, safety certification, and trust. The integration of these technologies must contend with constraints such as latency, security, fault tolerance, and operational autonomy—often under extreme environmental or regulatory conditions. This special issue invites contributions that examine the intersection of pervasive computing and mission-critical systems—including both technical innovations and critical evaluations. We seek work that explores how pervasive approaches can enhance the performance, resilience, and safety of mission-critical operations, while also confronting the unique constraints they impose. We invite original and high-quality submissions addressing, but not limited to, the following topics: Sensing and Context-Awareness for Safety-Critical Scenarios: Real-time monitoring and inference in high-risk domains such as emergency medicine, battlefield environments, aviation, or nuclear facilities. Edge Intelligence and Real-Time Decision Making: Deployment of on-device or local AI in latency-sensitive and bandwidth-constrained mission-critical contexts. Redundancy, Fault Tolerance, and Fail-Safe Design: Pervasive system architectures that ensure continuous…
Submissions Due: 1 Feb 2026
Magazine - IEEE Pervasive Computing
Important Dates Title and abstracts due: August 25, 2025 (email to pvc2-2026@computer.org) Full Manuscripts due: October 1, 2025 (via submission site) Publication: Apr-Jun 2026 Call for Papers The convergence of pervasive computing and foundation models—spanning large language models, multimodal architectures, and AI agents—represents a paradigm shift in intelligent systems design. As foundation models evolve from text processors to sophisticated reasoning engines capable of planning, tool use, and multi-step problem solving, their integration with pervasive computing creates new possibilities for ambient intelligence that can perceive, reason, and act autonomously in everyday environments. Recent advances in model optimization and specialized architectures have made it feasible to deploy capable foundation models on edge devices and resource-constrained systems. Simultaneously, the emergence of AI agents introduces new interaction paradigms where systems maintain long-term memory, coordinate across modalities, and adapt behavior based on environmental context. However, this convergence also challenges fundamental assumptions about evaluation, safety, and human oversight, as traditional metrics prove inadequate for assessing emergent behavior and goal alignment in open-world deployments. This special issue seeks contributions advancing our understanding of foundation models and AI agents in pervasive computing, with attention to the unique challenges of ambient, always-on deployments where probabilistic behaviors and emergent capabilities reshape human-computer interaction. We invite original submissions addressing—but not limited to—the following topics: Edge Deployment and Optimization: Architectures, quantization techniques, and specialized foundation models for resource-constrained pervasive systems; dynamic model selection and energy-efficient inference strategies like test-time compute and scaling. AI Agents in Ambient Environments: Design patterns for embodied agents in smart environments; multi-agent coordination; tool use and API integration; long-term memory and persistent reasoning. Multimodal Foundation Models: Cross-modal reasoning architectures for vision, audio, haptics, and sensor data; real-time multimodal processing pipelines; context-aware model adaptation; methods for scalable data curation and mixing for pre-training. Evaluation Beyond Traditional Metrics: Frameworks for…
Submissions Due: 1 October 2025
Magazine - IEEE Pervasive Computing
Important Dates Title and abstracts due: October 25, 2025 (email to pvc3-2026@computer.org) Full Manuscripts due: November 1, 2025 (via submission site) Publication: July-Sep 2026 Call for Papers The intensifying global climate crisis presents one of the most urgent and complex challenges of our time, demanding coordinated action across scientific, technological, and policy domains. In this context, pervasive computing—with its ability to embed intelligent systems seamlessly into physical, social, and ecological environments—holds unique potential to support mitigation, adaptation, and resilience strategies at scale. From distributed sensing and intelligent infrastructure to real-time behavioral feedback and edge analytics, pervasive systems are increasingly positioned to shape environmental decision-making and foster sustainable practices across diverse sectors. Recent advances in mobile, wearable, embedded, and ambient computing platforms have created unprecedented opportunities for scalable, in situ climate data collection, energy-aware system operation, low-power AI, and citizen engagement. At the same time, these advances raise pressing questions about environmental cost, sustainability-by-design, and the carbon footprint of pervasive technologies themselves. As the discipline evolves, it must critically examine its own role—not only in measuring and modeling the effects of climate change, but also in actively shaping socio-technical systems that support environmental responsibility. This special issue invites contributions that explore the intersection of pervasive computing and climate challenges, including both applied innovations and reflective critiques. We seek work that addresses the design, deployment, and evaluation of pervasive systems in climate-relevant contexts, as well as studies that analyze the environmental implications of pervasive technology itself. We invite original and high-quality submissions on topics including, but not limited to: Environmental Sensing and Monitoring: Pervasive systems for air, water, soil, biodiversity, and climate data collection, especially in under-instrumented or remote areas. Sustainable Urban and Infrastructure Systems: Use of pervasive computing in smart cities, transportation, and energy systems to optimize resource use and reduce…
Submissions Due: 1 November 2025
Conference
Conference dates: 4 - 7 May 2026 | Washington, D.C. IEEE International Symposium on Hardware Oriented Security and Trust (HOST) IEEE International Symposium on Hardware Oriented Security and Trust (HOST) is the premier symposium that facilitates the rapid growth of hardware-based security research and development. The contribution deadlines are 19 Aug 2025 (first round) and 1 Dec 2025 (second round). Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Hot Topics in Hardware Security e.g., advanced packaging security, chiplet security, AI for hardware security, and security of AI chips. Computer-aided Design (CAD) for Hardware Security Verification e.g., automatic techniques and metrics for life cycle security management and detecting security vulnerabilities. Hardware Security Primitives e.g., cryptographic modules, PUFs, TRNGs, post-quantum cryptography, odometers. Hardware Attack and Defense e.g., hardware Trojans, fault injection, side-channels, hardware reverse engineering, hardware obfuscation. Architecture Security e.g., architectural side-channels, trusted execution environment, FPGA and reconfigurable fabric security. System Security e.g., machine learning security, SoC/IP security, CPS/IoT security, sensor network security, and cloud security. Security and Privacy Threats and Solutions e.g., privacy-enhancing architecture, blockchain, and cryptocurrency security. Submit your content In addition to submitting your paper to IEEE HOST 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your…
Submissions Due: 1 December 2025
Conference
Conference dates: 5 – 7 December 2025 | Wuhan, China IEEE International Conference on Agentic AI (ICA) The IEEE International Conference on Agentic AI (IEEE ICA), a premier academic platform in the field, brings together global scholars and industry experts to advance theories, practices, and applications of intelligent and autonomous agents. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Agent theories and models Agent ontologies, reasoning, and decision-making Agent and multi-agent learning, Q-learning, reinforcement learning Agent-based modelling and simulation, tools, and platforms Agentic AI, LLM-based agents & GenAI systems Norms, normative systems, autonomous AI workflows Trust and reputation Agent-based negotiation, coordination, cooperation, and argumentation Game theory, social choice theory, auctions, and mechanism design Collective intelligence, social computing, and wisdom of the crowds Agent team formation, self-organization and self-adaptation Internet of Things, cloud computing, and robotics Human-agent interaction, socially interactive agents Agent-based programming, BDI agents, tools, and testbeds AI education within the scope of MAS Innovative applications in finance, health, agriculture, transportation, education Smart grid, smart city Apply computing and distributed systems Ethical, legal, and moral aspects of agent technologies Future visions and grand challenges of agents and multiagent systems Submit your content In addition to submitting your paper to IEEE ICA 2025, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands…
Submissions Due: 15 August 2025
Conference
Conference dates: 31 August - 5 September 2025 | Albuquerque, New Mexico IEEE International Conference of Quantum Computing 2025 The IEEE International Conference on Quantum Computing and Engineering (IEEE Quantum Week) bridges the gap between the science of quantum computing and the development of the industry surrounding it. This event brings a perspective to the quantum industry that differs from strictly academic or business conferences. Learn More Why Participate? The IEEE Quantum Week Posters program presents excellent opportunities for graduate students, undergraduate students, researchers, practitioners, entrepreneurs, and start-ups to showcase their work and engage with the international quantum computing R&D community during IEEE Quantum Week. Opportunities Present your research outcomes Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Take part in groundbreaking keynote speeches, peer-reviewed technical papers, and posters Topics Quantum Computing Quantum Systems Engineering Quantum Applications Quantum Algorithms & Information Quantum Systems Software Quantum Photonics & Optics Quantum Machine Learning (QML) Quantum Generative AI Quantum Software Engineering Distributed Quantum Computing Quantum Communications & Cryptography Quantum Sensing & Metrology Quantum Education & Training Submit your content In addition to submitting your paper to IEEE Quantum Week 2025, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
Submissions Due: 9 July 2025
Conference
Conference dates: 4-7 November 2025 | San Diego, California The 20th Annual APWG eCrime Symposium The 2025 Symposium on Electronic Crime Research (eCrime 2025) examines essential factors for managing the impacts of the global cybercrime plexus to secure IT users, commercial enterprises, governments, critical infrastructures, and operational technologies. Learn More Why Participate? Showcase your original research results to international experts and peers, and gain valuable feedback. Opportunities Present your research outcomes Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Take part in groundbreaking keynote speeches, peer-reviewed technical papers, and posters Topics Artificial Intelligence (AI) as criminal co-conspirator and defensive collaborator, such as: Malicious AI agents employed to perform enhanced malware polymorphism, agentic spearphishing, reconnaissance, etc. Development and maintenance of criminal co-pilots and the future of human-machine teaming, including hybridized human-crimebot cyber gangs Are malicious AI tools lowering the skills barrier to commit more advanced cybercrimes Adversarial AI (attacks directly against AIs and machine learning systems) as it relates to the furtherance of cybercrime or cyber-physical cybercrime — especially agents employed in security operations Defensive AI Agents deployed as cybersecurity operations managers and (autonomous and semi-autonomous) counter-cybercrime managers Design, deployment and assessment of multi-agent environments (MAEs) for enhancing resilience of infrastructure and systems to cybercrime Design, deployment and assessment of defenses related to AI systems themselves (jailbreaks, injections, etc.) Actual, emerging or potential risks from AI systems deployed to animate cybercrimes against people, operational systems, IoT technologies, or physical spaces and objects Abuse of cyber-physical systems and operational technologies and downstream manipulation (extant, emerging or potential) for furtherance of crimes with physical manifestations, including: Drone and robot hijacking and weaponization Criminal abuses and weaponization of medical and surgical systems Criminal abuses and weaponization of IoT for domestic and commercial…
Submissions Due: 29 July 2025
Conference
Conference dates: 19 – 20 October 2025 | Honolulu, Hawaii IEEE International Symposium on Emerging Metaverse (ISEMV) The IEEE International Symposium on Emerging Metaverse (ISEMV 2025), sponsored by the IEEE Metaverse Initiative, aims to contribute to shaping the convergence of the physical and digital worlds as we embark on a journey to understand, realize, and influence the Metaverse. Contributions for presentations and demos are welcome on all abstract submissions. Learn More Why Participate? Share your work with international experts and peers, and gain valuable feedback Opportunities Present your emerging ideas and applications Showcase your demos of innovative systems, tools, prototypes and interactive experiences Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters Take part in emerging presentations and demos Topics Novel research challenges or conceptual frameworks Innovative or impactful work-in-progress Real-world applications and products Insights from published research or industrial deployments Emerging technologies and applications for Metaverse systems Research prototypes or tools in development Industry solutions or commercial platforms Creative or artistic explorations of Metaverse environments Interactive experiences involving XR, AI, virtual agents, digital twins and other immersive technologies Submit your content In addition to submitting your paper to IEEE ISEMV 2025, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or…
Submissions Due: 1 August 2025
Journal - IEEE Transactions on Affective Computing
Important Dates Manuscript Submission Deadline: January 30, 2026 (extended) First Review Notification: March 1, 2026 (extended) Revised Manuscript Due: May 1, 2026 (extended) Final Decision Notification: June 1, 2026 (extended) Aim and Scope Mental health has become a critical global concern, with far-reaching implications for individual well-being, societal cohesion, and public healthcare systems. Traditional mental health services face challenges in scalability, personalization, and accessibility. In response, artificial intelligence—particularly systems capable of emotional awareness—offers promising avenues to support mental health interventions at scale. The rapid advancement of Large Language Models (LLMs) has transformed the landscape of natural language processing, enabling more sophisticated and human-like interactions. However, these models often lack the affective depth and the genuine empathy that are crucial in emotionally sensitive contexts like mental health. Integrating affective computing principles into LLMs represents a promising direction to address this gap, enabling emotionally intelligent systems that are context-aware, ethically aligned, and capable of building trust in high-stakes interactions. This special issue aims to explore interdisciplinary approaches that integrate affective computing, psycho-cognitive disciplines, and LLMs to advance empathetic AI in mental health applications. We welcome contributions that investigate theoretical foundations, novel algorithms, and real-world systems that enhance the emotional awareness and relational intelligence of LLMs. In particular, the issue will emphasize clinical application and deployment strategies, as well as domain-specific customizations that cater to unique healthcare scenarios. Our goal is to foster research that paves the way for emotionally responsive and trustworthy AI agents capable of making meaningful contributions to mental health care. Topics of Interest We invite original research articles, theoretical contributions, and system-level studies on topics including (but not limited to): Emotion detection and affect modeling in large-scale language models. Affective and empathetic dialogue generation. Personalization and contextual adaptation for emotional support systems. Multimodal affective computing in LLM-integrated systems (text,…
Submissions Due: 30 January 2026
Conference
Conference dates: 8-11 December 2025 | Macau SAR, China IEEE Big Data In recent years, Big Data has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series, started in 2013, has established itself as the top-tier research conference in Big Data. Learn More Why Participate? IEEE Big Data provides a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. Opportunities Present your research outcomes to over 1,300 participants from 53 countries Gain prestigious recognition with a regular paper acceptance rate of just 18.4% Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Topics Big Data Science and Foundations Big Data Infrastructure Big Data Management Big Data Search and Mining Big Data Learning and Analytics Data Ecosystem Foundation Models for Big Data Big Data Applications Submit your content In addition to submitting your paper to IEEE Big Data, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
Submissions Due: 29 August 2025
Conference
Conference dates: 26–28 November 2025 | Canterbury, New Zealand IEEE ITNAC 2025 The IEEE International Telecommunications Networks and Applications is an international conference and forum for the presentation of research outcomes covering timely and relevant aspects. Contributions are welcome on all advanced research. Learn More Why Participate? Showcase your original, unpublished research results to international experts and peers Opportunities Present your research outcomes Utilize your platform to share new advances, ideas, and solutions Highlight your contributions Contribute to event programming and technical content Take part in groundbreaking keynote speeches, peer-reviewed technical papers, and posters Topics Wireline networks Wireless networks Modelling and Simulation Cyber-Networks, Data Mining and Cyber-Security Distributed, Cognitive and Cloud Computing Network Applications & Convergence Local and Metropolitan Networks Community and corporate Wi-Fi Data Communications Networks and Management Software Defined Networking Internet Technologies and Applications Emerging Technologies Mobility and Vehicular Networks Mobile Cellular and Wireless Networks Optical Communications Wireless Sensor Networks Power Efficiency and Sustainability Submit your content In addition to submitting your paper to IEEE ITNAC 2025, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!
Submissions Due: 10 September 2025
Magazine - Computer
Important Dates December 15, 2025 (Submission deadline) March 15, 2026 (Feedback to authors) April 15, 2026 (Submission of revised papers) May 15, 2026 (Final notification to authors) Algorithmic artists, a.k.a generative artists, use code as a medium to produce artworks. When the code executes, it can drive any number of processes, from generating visuals and/or sound, to responding to user interactions or choreographing movements of robotic elements, among others. The code also includes some non-deterministic elements such as random numbers, live data processing or inputs from the audience. There exists a large number of software engineering concerns in relation to this artistic practice, spanning maintenance, evolution, programming abstractions and performance. For example, the "correctness" of the artistic output is non-trivial to measure as output aesthetics are difficult to formally quantify. The maintenance, preservation and restoration of algorithmic artworks is challenging, as they may rely on outdated runtimes or libraries, on online resources that quickly become unavailable, or on technology that is no longer available. It is challenging to balance performance for real-time interactions and domain-specific abstractions that support artistic expression with code. With this special issue, we aim to open a conversation between software engineers, generative artists and caretakers of these artworks, about the latest advancements at the intersection of software technology and algorithmic art. We encourage the development and application of software technology to strengthen all aspects of the software engineering lifecycle in algorithmic art projects. We encourage the authors to make their code and data publicly accessible. Code analysis for art maintenance and understanding maintenance of art-related code reverse engineering art-related code binary analysis of art-related code emulation for art-related code transpiling art-related code documenting art-related code case studies of software-based art preservation capture and replay for software-based artworks Software technology for generative art open source software and…
Submissions Due: 15 December 2025
Magazine - IEEE Intelligent Systems
Important Dates Title and Abstracts Due: Oct. 1, 2025 (to is3-26@computer.org) Full Manuscripts Due: Nov. 1, 2025 (via submission site) Publication: May/Jun 2026 TOPIC SUMMARY: As artificial intelligence (AI) becomes more prevalent in an increasing number of practical applications and systems, improved characterization of such systems will in turn become important to ensure system resiliency, safety, and reliability in the environments for which they are deployed, which often produces data that differs from data used in training. However, while Intelligent systems, often using supervised machine learning or reinforcement learning, have provided excellent results for a variety of applications, the reasons behind their failure modes – or anomalous behavior they engage in – are generally not well understood. The idea of metacognition, reasoning about an Intelligent system itself, is a key avenue to understanding the behavior and performance of machine learning systems. Recently, a variety of methodologies have been explored in the literature, which include stress testing of robotic systems, model introspection, model certification, and performance prediction. Moreover, researchers across multiple disciplines including Computer Science, Control Theory, Mechanical Engineering, Human Factors, and Business Schools have explored these problems from different angles. This special issue seeks to collect cutting edge research associated with the 2nd Workshop on Metacognitive Prediction of AI Behavior (METACOG-25); the best papers presented at the workshop will be invited to submit an extended version to the special issue, and other relevant manuscripts will also be accepted. The main objectives of the special issue are aligned with those of the workshop: Survey the main approaches to metacognition in intelligent systems. Understand the requirements that metacognitive approaches have for successful deployment. Identify novel methods for metacognition that drive improved AI performance in an operational or cross-domain setting. Identify application areas suitable for the deployment of metacognitive methods. Understand the relationship…
Submissions Due: 1 November 2025
Magazine - IEEE Micro
Submission Deadline: 2 October 2025 (extended) Publication: January-February 2026 Silent data corruption (SDC) has been a long-known effect of defects in silicon: a defect impacts the result of a computation, but no hardware or software mechanism has been provided or was able to detect it – the computing system is fully operational, and no exception was raised, nothing unexpected was logged. This definition of SDC itself points to something extremely rare. Given the engineering effort and the hardware and software resources that the computing industry puts during design, manufacturing, and operational time to minimize the impact of silicon defects, it has always been a common belief that silicon chips either work correctly or malfunction for good and need to be replaced – an SDC was never an option. To everyone’s surprise operators of large-scale systems (cloud computing datacenters) – bravely for some or selfishly for others – openly reported an unimaginable number of detected CPUs, GPUs, and AI Accelerator (AIA) chips in the vicinity of one on a thousand. The erroneous result may affect subsequent computations of the same or other programs still silently for hours, weeks, or forever in the same machine or a large cluster of machines used for cloud workloads or machine learning training and inference workloads. The reports mobilized the industry and the academia towards understanding the problem and providing solutions. This Special Issue of the IEEE Micro Magazine is dedicated to “Silent Data Corruptions” and aims to gather the significant computing community efforts in tackling this very important problem and to capture a snapshot of the progress till the initial disclosures. The focus of the Special Issue on “Silent Data Corruptions” is on defective computing chips (CPUs, GPUs, AIAs) deployed at large scale, and particularly defects that are likely to produce silently corrupted data and…
Submissions Due: 2 October 2025
Journal - IEEE Transactions on Computers
Publication: 1 March 2026 IEEE Transactions on Computers seeks original manuscripts for a special issue/section on Compute Express Link (CXL) scheduled to appear in March 2026. The Compute Express Link (CXL) is an open, industry-standard interconnect designed for connecting diverse processing units (e.g., CPU, GPU, accelerators), heterogeneous memory, and I/O devices (e.g., smart NICs). Over three generations, CXL has transformed from a single-domain connection to a rack-level interconnect, addressing four key challenges: (i) enabling efficient heterogeneous computing through coherent access to both system and device memory, (ii) addressing the challenges of memory wall by providing bandwidth and capacity expansion, (iii) pooling resources like memory and accelerators to minimize underutilized resources in data centers, and (iv) enabling fine-grained data sharing in distributed systems. CXL-connected products such as CPUs, memory, FPGAs, and NICs are already being widely deployed in commercial systems. Over the last five years, both industry and academia have conducted extensive research into CXL's applications. This special issue of IEEE Transactions on Computers invites articles exploring a wide range of topics related to CXL, its influence on future architectures, platforms, memory subsystems, software stacks, and innovative applications. Topics involving CXL include, but are not limited to: Heterogeneous computing Networking and Distributed Systems Memory Tiering and Near Memory Compute Pooling and Sharing Resources Platform level performance, power, and total cost of ownership Software Infrastructure Application Level Enhancements Submission Guidelines For author information and guidelines on submission criteria, please visit Author Guidelines. Please submit papers through the Author Portal, and be sure to select the special-issue or special-section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. In addition to submitting your paper to IEEE Transactions on Computers, you are also encouraged to upload the…
Submissions Due: 15 September 2025
Magazine - IEEE Internet Computing
Important Dates Submission deadline: 05 August 2025 Publication date: January/February 2026 Call for Papers Large-scale, general-purpose large language models (LLMs) have achieved remarkable progress by training on vast, heterogeneous datasets and supporting a wide range of language processing tasks. However, empirical studies and industry analyses reveal that these models often fall short in mission-critical and complex applications, lacking precision in delivering contextual relevance, domain understanding, robustness, security, and explainability. Comparative research indicates that customizing general-purpose models through post-training procedures on proprietary data, such as fine-tuning, can yield substantial gains in accuracy, reliability, and performance tailored to domain-specific challenges. Furthermore, strategic shifts in the industry, exemplified by traditionally LLM-bullish companies prioritizing custom-tailored models over merely scaling up model size, underscore that a one-size-fits-all approach is insufficient to address modern enterprises' unique operational, data privacy, and integration demands. This Special Issue aims to offer a platform for disseminating research and detailed case studies that rigorously explore novel methodologies for designing, implementing, and evaluating custom (also termed targeted, tailored, focused) AI models and composite AI systems (built upon custom AI models) for mission-critical and complex applications, including data collection, data generation, and data validation. This collection demonstrates how bespoke AI solutions can deliver enhanced performance, secure operations, and sustainable efficiency in high-stakes, domain-specific environments by emphasizing customization, advanced model adaptation techniques, and robust integration strategies. Topics of interest include, but are not limited to: Design and development of custom AI models for specific industry applications Techniques for fine-tuning and adapting LLMs to domain-specific data Case studies demonstrating the deployment of composite AI systems in enterprise settings Methods for ensuring robustness, security, and explainability in custom AI solutions Strategies for integrating custom AI models into existing enterprise infrastructures Approaches to data collection, generation, and validation for training bespoke AI models Evaluation metrics and frameworks…
Submissions Due: 05 August 2025
Conference
Important Dates Paper Submission Deadline: 20 April 2025 Notification of Acceptance: 20 June 2025 Camera-ready Version: 20 July 2025 Panel Submission Deadline: 20 June 2025 Tutorial Submission Deadline: 20 June 2025 Poster Submission Deadline: 20 June 2025 Conference Dates: 23 – 25 September 2025 The IEEE World Forum on Public Safety Technology (WF-PST), a ground-breaking event dedicated to addressing current and future needs in public safety technology. Explore advancements in existing and emerging technologies, discover new research, and gain insights into breakthroughs shaping the future of public safety applications. IEEE WF-PST seeks original, high-quality proposals describing the research and results that contribute to advancements in the following Public Safety Technology applications: AI/ML, Smart Algorithms, Digital Twins, and Intelligent Systems Communication and Networking Transportation Technologies for Public Safety Edge Computing, Cloud Computing, and IoT Blockchain and Forensics Security, Privacy, and Trust Health and Wellness of Public Safety Personnel Public Safety Technologies supporting Eldery and People with Disabilities Environmental Impacts with Public Safety Technologies View more View full call for papers In addition to submitting your paper to IEEE WF-PST, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you! The 2025 WF-PST is positioned for public safety agencies, suppliers, practitioners, researchers, industry leaders, and first responders to discuss and exchange ideas on how emerging technologies can help…
Submissions Due: 20 April 2025
Conference
Full Paper Submission Date: 15 May 2025 Notification of Acceptance Date: 15 July 2025 Final Paper Submission Date: 11 August 2025 Conference dates: 2-5 November 2025 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI) The IEEE QAI conference is the foremost international forum for the intersection of quantum computing and artificial intelligence. Submissions of original research are encouraged, providing an opportunity to advance knowledge in this evolving field. The event offers a platform for exploring the latest developments and fostering connections within the global research community. The event will take place in Naples (Italy), where tradition meets innovation, offering the perfect setting for inspiration and collaboration. Learn More Topics Prospective authors are invited to submit complete papers of no more than eight pages (six pages plus two additional pages to be paid) in the IEEE two-column conference proceedings format, according to Author Instructions guidelines. All the accepted and presented papers will be published on IEEE Explore Digital Library and indexed by Scopus. Topics of interest include but are not limited to: Quantum Logic Quantum Fuzzy Reasoning Quantum Optimization Quantum Evolutionary Algorithms AI for Quantum Circuit Optimization AI for Quantum Calibration AI for Quantum Error Mitigation and Correction AI for Automated Quantum Algorithms Design Quantum Machine Learning Quantum Data Preprocessing Quantum Kernels Quantum Variational Models Quantum Generative AI Quantum Natural Language Processing Quantum Game Theory Quantum Automated Reasoning In addition to submitting your paper to IEEE QAI, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a…
Submissions Due: 15 May 2025
Conference
Conference dates: 2-3 October 2025 | Glasgow, Scotland IEEE Tech Summit 2025 - CleanTech Solutions IEEE Tech Summit 2025 - CleanTech Solutions is interdisciplinary and at the edge of broad engineering industry focal points, cutting across topics such as Climate Change, Sustainability, Energy Storage and Solutions, Green Tech Solutions, CleanTech, and other related topics. This provides an opportunity for interesting, informative, and engaging talks, demonstrations, hands-on experiences, dialogue, and debate. Learn More Why Participate? Comprehensive overview of the latest new trends and technologies Contribute and share your technical society’s contributions as they pertain to clean tech Increase your impact in this key technology space Network with partners in and outside of IEEE Other OU’s (TAB & MGA) Government and NGOs Clean Technology and Sustainability industry Develop new partnerships IEEE wide and beyond; diverse attendance Inform/broaden the reach of your S/C, your technical communities, publications, and flagship conferences Opportunities Highlight your Society/Council contributions ‘Best of’ IEEE Forum Contribute to event programming and technical content Participate in our Grand Challenge Pitch Competition Engage with Students, Entrepreneurs, and young professionals (YPs) Topics Clean Energy Production Power generation Power systems Battery storage Decarbonization Reducing carbon footprint Carbon offset Carbon capture Climate Climate monitoring Climate change Sector-specific technologies EDS, semiconductor manufacturing IAS, clean cement & steel production VTS, transportation electrification AESS, air travel and aeronautics OESS, underwater technology Strategies for implementation Government representation Influencing adoption Submit your content: https://app.smartsheet.com/b/form/9964f39bebb74bef9f1a2a08de4f20a2
Conference
Abstract Submission Deadline: 7 May 2025 20 May 2025 Author Notification: 8 June 2025 20 June 2025 Final Submission Deadline: 10 July 2025 20 July 2025 Submit your proposals to EasyChair. Conference dates: 20-21 August 2025 Enterprise GenAI: Shaping the Future The IEEE CS Enterprise Generative AI Summit 2025 is your premier opportunity to explore cutting-edge advancements, foster collaboration with industry leaders, and shape the future of Generative AI in enterprises. Why Attend? Gain actionable insights from top AI experts and industry pioneers. Participate in keynotes, panel discussions, hands-on workshops, and networking events. Explore real-world applications and challenges of GenAI in healthcare, finance, manufacturing, and technology. Engage in discussions on emerging innovations, strategic opportunities, and trust-worthy and responsible AI deployments. Learn more. Join the event waitlist to receive alerts when registration opens. Call for Submissions – Opportunity to Share Your Expertise! Submit your proposals to EasyChair. We invite industry professionals and innovators to submit their proposals for: Presentations (20 - 30 minutes) – Share insights, case studies, and innovative enterprise GenAI applications. Workshops (1-2 hours) – Deliver hands-on sessions or technical deep dives. Panel Discussions – Organize a panel and lead thought-provoking discussions on GenAI and its application challenges Submission Guidelines We solicit your proposal in the form of a 1-page abstract. Also include, preferred duration, your brief bio outlining your experience and contributions, and contact details Upload your submission at [Easychair submission Web address] Submitted abstracts will be reviewed by an expert committee and shortlisted. Authors of selected submissions will be invited to participate. They must attend in person for an oral presentation or workshop. Outstanding contributions will be highlighted on Computer.org. Key Themes & Tracks 1. Strategic Integration of GenAI in Enterprises GenAI’s Role in Digital Transformation Building a GenAI-Driven Enterprise: Strategies for Success Industry-Specific Use Cases: Healthcare, Finance,…
Submissions Due: 20 May 2025
Magazine - IEEE Software
Publication: May/June 2026 Overview Is AI truly the key to writing code faster and better? Or do alternative innovations, such as improved user interfaces [8] or other recent breakthroughs in software design [6-7], also play a significant role in enhancing developer productivity and programmer education? In light of recent advances in AI, there has been no shortage of claims about its ability to transform the developer experience and teaching. The web is filled with promises of vast improvements, often linked to the power of large language models (LLMs) [1-2]. These tools, such as GitHub Copilot and Supermaven, assert they can make coding faster and smarter by automating tasks, enhancing code quality, and streamlining development. For example, the GitHub Copilot website says their tool enables "55% faster coding',' while Supermaven's website claims it enables developers to "write code 2x faster with AI". Amazon Q Developer's website says their tool enables "up to 40%" increase in developer productivity. Moreover, concerns have been raised about whether the speed offered by AI-assisted coding tools may come at the cost of code quality [2-4] and/or comprehension of code. Some studies suggest a "downward pressure on code quality" [2] and security risks [5] when relying heavily on AI-generated code. While LLMs have undoubtedly proven useful in certain areas, the accuracy of AI-generated suggestions often requires scrutiny to avoid introducing bugs or vulnerabilities. Given these considerations, it is time for a deeper, data-driven investigation. We encourage studies that critically examine the impact of AI on developer productivity, code quality, and developer education. Particularly welcome are industrial case studies or case studies from the classroom that showcase real-world applications of AI tools. We also invite academic researchers to contribute to this discussion. To move forward, we propose an objective evaluation. Let us search the web for these claims…
Submissions Due: 14 August 2025
Conference
Abstract Submission Deadline: 1 April 2025 Full Paper Submission Deadline: 8 April 2025 Acceptance Notification: 31 May 2025 Camera-Ready Submission: 21 June 2025 Conference date: 4-6 August 2025 IEEE International Conference on Omni-Layer Intelligent Systems (IEEE COINS 2025) The IEEE International Conference on Omni-Layer Intelligent Systems (IEEE COINS 2025) invites submissions for original research, technical papers, and proposals on AI and Smart Systems. IEEE COINS serves as a global forum for academic and industry leaders to discuss the latest advancements in digital transformation and intelligent systems. IEEE COINS 2025 will be held at the University of Wisconsin–Madison, USA, offering a vibrant and collaborative environment to explore cutting-edge research and technological innovations. Conference Website CFP Details Call for Papers We invite submissions of high-quality research contributions that address technological advancements, theoretical frameworks, design methodologies, and real-world applications of AI, IoT, and Smart Systems. Topics include but are not limited to: Topical Areas: Internet of Things (IoT) & AIoT Artificial Intelligence & Machine Learning Blockchain & Distributed Ledger Technologies Cloud & Edge Computing Cybersecurity, Privacy & Trust Low-Power Design & Embedded AI Generative AI & Emerging Intelligent Systems Industry & Vertical Applications: Smart Cities, Infrastructure & Transportation Digital Healthcare & Well-Being Industry 4.0 & Smart Manufacturing Energy Systems & Smart Grids Sustainable AI & Green Computing In addition to submitting your paper to IEEE COINS 2025, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data…
Submissions Due: 1 April 2025
Magazine - IEEE MultiMedia
Publication: January-March 2026 Multimedia forensics plays a crucial role in investigating and combating cybercrime, especially in the context of digital images, videos, audio, and other media. With the proliferation of multimedia content and the increasing sophistication of cyber threats, there is a pressing need for innovative approaches that leverage Artificial Intelligence (AI) and Machine Learning (ML) techniques to enhance forensic investigations. This special issue aims to bring together cutting-edge research at the intersection of AI, ML, and multimedia forensics, with a particular focus on detecting and analyzing multimedia-based cybercrime. We invite original contributions that address various aspects of AI and ML-enabled multimedia forensics, including but not limited to: Automated evidence extraction and analysis Evolving standards for AI and ML in multimedia forensics AI-based anomaly detection in multimedia forensics Deep learning techniques for multimedia forensics Privacy-preserving multimedia forensic investigations Forensic analysis of social media, cloud data and multisensory media Mobile device multimedia forensics and anti-forensic techniques Multimedia forensic investigation in IoT environments Ethical and legal implications of AI and ML in multimedia forensics The cultural impact of multimedia manipulation and forensics Researchers and practitioners from academia, industry, and government agencies are invited to submit their original research contributions. Submitted papers should present novel ideas, theoretical insights, experimental results, or practical applications related to AI and ML-enabled digital forensics. Important Dates: Paper Submission Deadline: Aug. 22, 2025 Expected Publication: January-March 2026 Submission Guidelines Authors are invited to submit original manuscripts via the IEEE MultiMedia Author Portal site. Submitted papers must adhere to the IEEE MultiMedia Submission Guidelines. In addition to submitting your paper to IEEE MultiMedia, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of…
Submissions Due: 22 August 2025
Magazine - IEEE Software
Publication: July/August 2026 The rise of AI models, including Large Language Models (LLMs), is transforming software engineering by redefining how developers tackle code improvement tasks, such as refactoring and bug detection. Traditionally time-consuming and error-prone, these tasks can now be automated and enhanced through the application of AI. These models are offering unprecedented support, from improving code quality to autonomously detecting and fixing bugs, enabling software teams to focus on higher-level challenges and innovation. Beyond source code analysis, incorporating additional data sources—such as software models, requirements, and issue-tracking documents (e.g., JIRA reports)—can further enrich AI-driven software maintenance, providing deeper insights and more comprehensive support for developers. This special theme aims to explore cutting-edge advancements in the application of AI models to automate and optimize code improvement processes. We welcome contributions that address how these technologies are reshaping software development workflows, discuss their impact on software quality, and share real-world applications and challenges of integrating these tools into development workflows. We invite researchers, practitioners, and industry experts to submit their original contributions to IEEE Software Special Theme on AI Models for Code Improvement. This special theme aims to bring together professionals from academia and industry to explore the latest advancements, challenges, and solutions in the use of AI models for code improvement. We welcome papers that cover a wide range of topics, including but not limited to: Bug Detection and Automated Fixing Generation. Comparative Studies of AI Models and Traditional Tools. Intelligent Code Smell Detection. AI-assisted Technical Debt Management. Case Studies and Industrial Applications of AI for Code Improvement. AI-driven Adaptive Refactoring. Improving Code Reliability and Security with AI models. Human-AI Collaboration in Refactoring and Debugging. Ethical and Practical Considerations in using AI models for code improvement. Challenges and limitations of AI models for Code Improvement Submission Instructions: For author information…
Submissions Due: 24 October 2025
Conference
Full paper submission deadline: 15 April 2025 Author notification: 15 May 2025 Camera ready submission: 22 May 2025 Conference dates: 21-24 July 2025 IEEE JCC 2025 IEEE JCC 2025 is the 16th edition of the annual IEEE Conference on JointCloud Computing. It brings together researchers, developers, users, and practitioners interested in cloud computing and computing intelligence. As in prior JCC conferences, JCC 2025 will foster connections between academia and industrial communities operating in the cloud space. The conference this year will take place in Tucson, Arizona, United States, from 21st to 24th July 2025, co-located with IEEE CISOSE 2025 congress. Learn More Topics of Interest We solicit original contributions on all aspects of cloud computing. We particularly encourage submissions on the research, development, and experience of cloud computing systems, acceleration of large-scale AI models (i.e., deep models/LLM models training and inference) and cross-domain networking infrastructures that enable AI applications and services. Specific topics of interest include but are not limited to the following aspects: Administration, service level agreements, and manageability AI/ML in joint-cloud environments AI/ML for Distributed Systems Blockchain systems and decentralized ledgers in joint-cloud services Confidential computing Cross data center data management Cloud markets and cloud economy Distributed and networked systems Distributed/parallel query processing and optimization Distributed Systems for AI/ML Edge intelligence & AI analytics at the edge Deployed/Emergent Applications & Infrastructures Fault tolerance, high availability, and reliability Internet-of-Things infrastructure and cyber-physical systems Large-scale cloud applications Machine learning for systems Multi-tenancy in the cloud Networking and communication, computing power network, emerging networking infrastructure for high-performance interconnection and LLM/AI training/inference Operating systems and system support Platform-as-a-Service and other cloud models Privacy and security, privacy-aware and cross-data center data management, identity and access management, authorization, and authentication Programming models for cloud (e.g., serverless, microservices) Resource management, resource scheduling and provisioning Scientific…
Submissions Due: 15 April 2025
Conference
Abstract: 15 April 2025 Full Paper: 5 April 2025 Notification: 26 May 2025 Final Paper: 2 June 2025 Conference dates: 21-24 July 2025 The 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. The 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications ( IEEE BigDataService 2025) provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share the latest results, experiences, and lessons learned in this crucial domain. The conference will be held in person and will take place in Tucson, Arizona on the 21-24 July 2025. It will consist of a main track with several topics of interest; it seeks the submission of high-quality papers in the IEEE format: full papers (up to 8 pages), short/demo papers (up to 5 pages), and posters (2 pages). The conference also welcomes workshop proposals. All accepted papers will be included in the proceedings. Selected papers will be invited to submit extended versions in a special issue of a peer-reviewed (SCI-Indexed) journal. Learn More
Submissions Due: 15 April 2025
Conference
Paper/Poster submission deadline: 15 March 2025 Author notification: 8 March 2025 Final paper submission (camera-ready): 18 May 2025 Conference dates: 21-24 July 2025 The 7th IEEE International Conference on Decentralized Applications and Infrastructures The 7th IEEE International Conference on Decentralized Applications and Infrastructures (IEEE DAPPS 2025) aims to bring together researchers and industry professionals working on decentralized applications (dApps), Blockchain and Distributed Ledger Technologies. The event is part of the larger IEEE CISOSE 2025 congress and focuses on the practical and theoretical advancements in decentralized systems. Learn More Topics Distributed Ledger Technologies (DLTs) Smart contracts theory and programming Languages and tools for (secure) dApps Web3 security and privacy AI for dApps Machine learning for dApps Infrastructures for dApps Communication protocols and standards for dApps Software engineering for dApps and smart contracts verification Privacy of dApps Security of dApps Decentralized identity Identity management for dApps Token economy Off-Chain/Layer 2 dApps Decentralized Finance (DeFi) Non-fungible tokens (NFTs) Applied Cryptography for dApps applications Analytics for on-chain and off-chain data Governance structure and mechanisms Policy/laws surrounding dApps and cryptocurrencies Interoperability for dApps, Blockchains, and DLTs Scalability, optimization, and performance of blockchain systems DePIN Decentralized Physical Infrastructure RWA Real Word Assets dApps sustainability dApps for Digital Sovereignty Cross-chain and Off-chain technology Forensics for dApps Applications in emerging domains Other emerging research topics Submissions IEEE DAPPS 2025 solicits research papers describing novel and previously unpublished scientific contributions to the field of Web3 and decentralized computing and infrastructures. All papers must be original and not simultaneously submitted to another journal or conference. Three different types of contributions can be submitted: Regular/Full papers (10 pages, IEEE double-column format) Short papers (6 pages, IEEE double-column format) Posters (2 pages, IEEE double-column format) Regular papers should describe novel and previously unpublished scientific contributions to the field of dApps and decentralized…
Submissions Due: 15 March 2025
Conference
Paper/poster submission deadline: 21 March 2025 Author notification: 7 May 2025 Final paper submission (camera-ready): 21 May 2025 Conference dates: 21- 24 July 2025 13th IEEE International Conference on Intelligent Mobile Computing 2025 IEEE Intelligent Mobile Computing (former IEEE MobileCloud) is a pioneering IEEE-sponsored international conference devoted to research in mobile, edge, and cloud computing. It covers all aspects of mobile, edge, and cloud computing, from architectures, techniques, tools and methodologies to applications. This year’s conference is scheduled in Tucson, Arizona, USA, from 21-24 July 2025. IEEE Intelligent Mobile Computing 2025 is part of the IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE), offering a broad spectrum of international events, sharing renowned keynotes and fostering exchange among researchers and practitioners. Learn More Scope The fusion of mobile communications, computing, and intelligence is catalyzing the emergence of innovative systems and applications that facilitate intelligent resource provisioning, process extensive data from mobile sensors and interconnected hardware platforms and bolster the Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The pivotal role of current and forthcoming communication technologies, machine learning implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be understated. These mobile intelligent applications are poised to revolutionize various facets of daily life, encompassing domains such as transportation, e-commerce, healthcare, smart homes, smart cities, social interaction, and more. Mobile intelligence serves as an inclusive platform for both academic and industrial researchers to share their latest research insights, experimental findings, and the latest advancements in industry technologies related to mobile systems, machine learning, edge and cloud computing, services, and engineering. Leveraging the synergy of mobile communications, machine intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence Systems is envisioned to provide a multitude of critical and personalized services across diverse application domains, ranging from…
Submissions Due: 21 March 2025
Conference
Important Dates Main paper Main paper submission deadline: 1 April 2025 Main paper author notification: 10 May 2025 Camera-ready and author’s registration: 1 June 2025 Workshop paper submission deadline: 15 May 2025 Workshop paper author notification: 22 May 2025 Camera-ready and author’s registration: 1 June 2025 Conference dates: 21-24 July 2025 IEEE AITest 2025 IEEE AITest 2025 is the seventh edition of the IEEE series conference, focusing on the synergy of artificial intelligence (AI) and software testing. This conference provides an international forum for researchers and practitioners to exchange novel research results, articulate the problems and challenges from practices, deepen our understanding of the subject area with new theories, methodologies, techniques, process models, impacts, etc., and improve the practices with new tools and resources. This year’s conference is scheduled in Tucson, Arizona, USA, from 21-24 July 2025. The conference is part of the IEEE CISOSE 2025 congress. Learn More Topics of Interest Methodologies, theories, techniques, and tools for testing, verification, and validation of AI Test Oracle for testing AI Tools and resources for automated testing of AI Specific concerns of testing with domain specific AI AI techniques to software testing AI applications to software testing Testing of Large Language Models (LLMs) Data quality and validation for AI Human testers and AI-based testing Quality assurance for unstructured training data Quality evaluation and assurance for LLMs LLMs for software engineering and testing Responsible AI testing Techniques for testing deep neural network learning, reinforcement learning, and graph learning Constraint programming for test case generation and test suite reduction Constraint scheduling and optimization for test case prioritization and test execution scheduling Crowdsourcing and swarm intelligence in software testing Genetic algorithms, search-based techniques, and heuristics to optimize testing Large-scale unstructured data quality certification AI and data management policies Impact of GAI on education Computer Vision…
Submissions Due: 1 April 2025
Conference
Important Dates Paper abstract submission: 10 March 2025 Full paper submission: 21 March 2025 Paper acceptance: 7 April 2025 Paper camera ready: 15 April 2025 Conference dates: 5-7 May 2025 2025 IEEE International Conference on AI Industry Standard and Quality Assurance IEEE AI Industry Standard 2025 is the inaugural IEEE Conference on AI Industry Standard Development and Quality Assurance. This premier event serves as a global platform for AI technology developers, industry leaders, and associations to convene and exchange insights on industry standards and quality control from diverse perspectives. The conference will function as a pivotal global conduit for existing and forthcoming industry standards supported by IEEE Industry Standards and Technology Organization (IEEE ISTO) group. IEEE Industry AI Standard 2025 seeks original, high-quality papers, abstracts, and speakers that contribute to the following AI Industry Standards and Quality Assurance verticals: Semiconductors: Focuses on AI standards and quality assurance for semiconductor chips, platforms, and frameworks, including validation and metrics for AI-powered devices and edge-based technologies. Chatbots: Focuses on AI standards focusing on innovative methodologies, ethical considerations, and technical challenges to enhance functionality and user engagement. Infrastructure & Tools: Focuses on standards and QA for AI data and communication infrastructures, platforms, and tools supporting large-scale ML modeling and intelligent systems. UAV and Aerospace: Focuses on AI standards and quality assurance in autonomous technologies, emphasizing advancements in autonomous decision-making, safety enhancements, and regulatory compliance. Robotics & Autonomous Vehicles: Focuses on AI standards and QA for robotics and autonomous vehicles, including edge-based intelligence and connectivity. Computer Vision: Focuses on AI standards and quality assurance for intelligent computer vision systems, platforms, and evaluation metrics. Smart Grids & Clean Energy: Focuses on AI standards and quality in smart grids and clean energy systems, focusing on AI-driven innovations for increased efficiency, reliability, and integration of renewable resources. ESG…
Submissions Due: 10 March 2025
Conference
Important Dates IEEE DAPPS 2025 Submission Deadline: 15 March 2025 IEEE IMC 2025 Paper/Poster Submissions Deadline: 21 March 2025 IEEE AI Test 2025 Main Conference Paper Deadline: 1 April 2025 IEEE SOSE 2025 Paper Submission Deadline: 15 April 2025 IEEE JCC 2025 Full Paper Submissions Deadline: 15 April 2025 IEEE BigDataService 2025 Abstract Deadline: 15 April 2025 IEEE BigDataService 2025 Full Paper Deadline: 25 April 2025 Conference Date: 21-24 July 2025 IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE) The IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE) is a leading event that focuses on service-oriented systems. Technology is transforming our lives, turning yesterday's visions of the future into today's reality. CISOSE originated in 2005 as the IEEE International Workshop on Service-Oriented System Engineering (SOSE’05) and was re-established as an international congress in 2015. CISOSE 2025 is represented by six co-located conferences, including: IEEE JCC 2025, the 16th IEEE International Conference on Jointcloud Computing IEEE SOSE 2025, the 19th IEEE International Conference On Service-Oriented System Engineering IEEE BigDataService 2025, the 11th IEEE International Conference on Big Data Computing Service and Machine Learning Applications IEEE IMC 2025, the 13th IEEE International Conference on Intelligent Mobile Computing IEEE DAPPS 2025, the 7th IEEE International Conference on Decentralized Applications and Infrastructures IEEE AI TEST 2025, the 7th IEEE International Conference On Artificial Intelligence Testing Learn More Important Instructions IEEE CISOSE 2025 has several co-located tracks. Visit each track for specific details and instructions to submit your paper.
Conference
Important Dates Technical paper abstract due: 24 March 2025 Full technical paper due: 31 March 2025 Technical paper acceptance notification: 9 June 2025 Paper author registration deadline: 7 July 2025 Final paper for proceedings due: 7 July 2025 Conference Date: 31 August–5 September 2025 IEEE International Conference on Quantum Computing and Engineering - QCE25 IEEE Quantum Week — the IEEE International Conference on Quantum Computing and Engineering (QCE) is a premier conference that unites researchers, scientists, engineers, entrepreneurs, educators, students, and professionals in the field of quantum computing. It serves as a unique platform for collaboration, allowing attendees to discuss the latest challenges, opportunities, and innovations while advancing both the theoretical and practical aspects of quantum technology. Learn More View Full Call for Papers Technical Paper Tracks IEEE Quantum Week aims to be a leading venue for presenting high-quality original research, ground-breaking innovations, and compelling insights in quantum computing and engineering. Technical papers are peer-reviewed and can be on any topic related to the following tracks: Quantum Algorithms (QALG) Quantum information science Quantum algorithm structures and patterns Quantum algorithms and complexity New NISQ-friendly algorithms Error correction and mitigation algorithms Fault-tolerant quantum algorithms Advances in hybrid variational algorithms Advances in hybrid QAOA algorithms New quantum solver approaches Quantum linear algebra Advances in tensor network algorithms Advances in encoding and learning algorithms Advances in Hamiltonian dynamics Quantum cryptography Secure quantum computing Privacy-preserving quantum computing Quantum Applications (QAPP) Towards Quantum advantage Towards fault tolerance and realization of quantum error correction at application level Quantum Machine Learning (QML) applications NISQ and fault-tolerant applications Quantum simulation of physical systems Applications — chemistry, machine learning, finance, optimization, biological sciences, and other science & engineering applications Applications of quantum annealing Quantum for generative AI Integrated high-performance computing (HPC) and quantum applications Performance evaluation of quantum algorithms Optimization…
Submissions Due: 24 March 2025
Conference
Submission deadline: 10 February 2025 Notification of acceptance: 14 February 2025 Conference Date: 29 April 2025 co-located with the 47th IEEE/ACM International Conference on Software Engineering (ICSE 2025) The Guide to the Software Engineering Body of Knowledge (SWEBOK Guide, http://www.swebok.org/ ), published by the IEEE Computer Society (IEEE CS), reflects the current state of generally accepted, consensus-driven knowledge and skills derived from the interaction between software engineering (SE) theory and practice. SWEBOK Guide V4 is the latest edition, released in October, 2024, maintaining its more than 20-year tradition as the definitive and most trusted reference for SE professionals. This Summit is a premier industry-focused event, bringing together practitioners, researchers, and educators from the SE communities to collaborate, share experiences and challenges, and provide future research directions on the body of knowledge, skills, and competencies required for current and future SE professionals, as well as related professional training and certifications. The Summit also encourages using the SWEBOK Guide V4 to address SE-specific challenges. The IEEE CS sponsors the Summit. In addition to keynotes, panels, and invited tutorials, the event will also feature selected presentations on SE bodies of knowledge, skills, competencies, certifications, and related topics. Call for Presentations You are invited to participate and submit your presentation proposals to the Summit. The Summit's areas of interest include (but are not limited to) the following topics: Practical experience using SWEBOK Guide, skills, and competencies in SE Education and training related to SWEBOK Guide, skills, and competencies in SE Certification and qualification programs in SE Research on bodies of knowledge, skills and competencies in SE Discussions and challenges of bodies of knowledge, skills and competencies in SE Future trends in SE to be potentially included in the next version of SWEBOK Guide Submission Instructions The Summit looks for submission of a 1-page abstract describing…
Submissions Due: 10 February 2025
Journal - IEEE Transactions on Dependable and Secure Computing
About IEEE Transactions on Dependable and Secure Computing IEEE Transactions on Dependable and Secure Computing (TDSC) publishes archival research results focusing on research into foundations, methodologies, and mechanisms that support the achievement–through design, modeling, and evaluation–of systems and networks that are dependable and secure to the desired degree without compromising performance. The focus also includes measurement, modeling, and simulation techniques, and foundations for jointly evaluating, verifying, and designing for performance, security, and dependability constraints. Scope of Interest As noted in the Jan-Mar. 2009 editorial, please note the following additional clarification of our scope: “Our Editorial Board decided that papers of purely theoretical interest in the area of cryptography without a clear and manifest application to a specific problem of dependability or security would fall out of the purview of these Transactions; similarly, papers addressing generic systems-management problems, as opposed to specific dependability and security challenges, as well those solving device-level, as opposed to system-level, dependability and security concerns, would also be out of our publication’s scope.” Topics include, but are not limited to, the following: View TDSC topics. TDSC welcomes proposals for topic-oriented special issues. Guidelines are provided here. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. For author information and guidelines on submission criteria, please visit the TDSC Information and Submission Guidelines page on IEEE Transactions on Dependable and Secure Computing TDSC now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Sign up for free. Questions? Contact: Editorial board and staff TDSC editorials and guest editorials
Journal - IEEE Transactions on Knowledge & Data Engineering
About IEEE Transactions on Knowledge and Data Engineering TKDE is an archival journal published monthly designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area. Scope of Interest The scope includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. To reflect the current trends in knowledge and data engineering research and development practice, TKDE gives priority to submissions on emerging topics, including but not limited to big data and applications, and new frontiers of knowledge and data engineering, such as social networks, social media, and crowd sourcing. Submissions purely focusing on topics centered in some other sister IEEE Transactions, such as core machine learning theory, pattern recognition, image processing, computer vision, neural networks, and fuzzy systems, will not be considered. Topics of interest include, but are not limited to, the following: Fields and Areas of Knowledge and Data Engineering: Knowledge and data engineering aspects of knowledge based and expert systems Artificial Intelligence techniques relating to knowledge and data management Knowledge and data engineering tools and techniques Distributed knowledge base and database processing Real-time knowledge bases and databases Architectures for knowledge and data based systems Data management methodologies Database design and modeling Query, design, and implementation languages Integrity, security, and fault tolerance Distributed database control Statistical databases System integration and modeling of these systems Algorithms for these systems Performance evaluation of these algorithms Data communications aspects of these systems Applications of these systems. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid…
Journal - IEEE Transactions on Visualization & Computer Graphics
About IEEE Transactions on Visualization and Computer Graphics IEEE Transactions on Visualization and Computer Graphics (TVCG) publishes papers on subjects related to computer graphics, information and scientific visualization, visual analytics, virtual and augmented reality, focusing on theory, algorithms, methodologies, human-computer interaction techniques, systems, software, hardware, and applications in these areas. TVCG is a scholarly, archival journal published monthly. Its Editorial Board strives to publish papers that present important research results and state-of-the-art seminal papers in computer graphics, visualization, and virtual reality. Scope of Interest Specific topics include, but are not limited to: rendering technologies geometric modeling and processing shape analysis graphics hardware animation and simulation perception interaction user interfaces haptics computational photography high-dynamic range imaging and display user studies and evaluation biomedical visualization volume visualization graphics visual analytics for machine learning and explainable AI topology-based visualization visual programming and software visualization visualization in data science virtual reality augmented reality and mixed reality advanced display technology (e.g., 3D, immersive and multi-modal displays) applications of computer graphics and visualization. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. For author information and guidelines on submission criteria, please visit the TVCG Information and Submission Guidelines page on IEEE Transactions on Visualization and Computer Graphics. TVCG now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Sign up for free. In addition to submitting your paper to TVCG, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands…
Journal - IEEE Transactions on Services Computing
About IEEE Transactions on Services Computing TSC is a scholarly, archival journal published quarterly. It is noted that only service-oriented grid computing topics will be covered by TSC. TSC is a journal that focuses on research on the algorithmic, mathematical, statistical and computational methods that are central in services computing; the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Scope of Interest Topics of interest include, but are not limited to, the following: Mathematical foundation of Services Computing Service-Oriented Architecture (SOA) Service creation development, and management Linkage between IT services and business services Web services security and privacy Web services agreement and contract Web services discovery and negotiation Web services management Web services collaboration Quality of Service for Web services Web services modeling and performance management Solution frameworks for building service-oriented applications Composite Web service creation and enabling infrastructures Business and scientific applications using Web services and SOA Business process integration and management using Web services Standards and specifications of Services Computing Utility models and solution architectures, Resource acquisition models in Utility Computing Mathematical foundation of business process modeling, integration and management Business process modeling, integration, and collaboration. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. For author information and guidelines on submission criteria, please visit the TSC Information and Submission Guidelines page on IEEE Transactions on Services Computing. Please be sure to visit the TSC Taxonomy List. In addition to submitting your paper to TSC, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research…
Journal - IEEE Transactions on Software Engineering
About IEEE Transactions on Software Engineering IEEE Transactions on Software Engineering is interested in well-defined theoretical results and empirical studies that have potential impact on the construction, analysis, or management of software. The scope of this Transaction ranges from the mechanisms through the development of principles to the application of those principles to specific environments. Scope of Interest Topics of interest include, but are not limited to, the following: development and maintenance methods and models, e.g., techniques and principles for the specification, design, and implementation of software systems, including notations and process models. assessment methods, e.g., software tests and validation, reliability models, test and diagnosis procedures, software redundancy and design for error control, and the measurements and evaluation of various aspects of the process and product. software project management, e.g., productivity factors, cost models, schedule and organizational issues, standards. tools and environments, e.g., specific tools, integrated tool environments including the associated architectures, databases, and parallel and distributed processing issues system issues, e.g., hardware-software trade-off. state-of-the-art surveys that provide a synthesis and comprehensive review of the historical development of one particular area of interest. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. In addition to submitting your paper to TSE, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to…
Journal - IEEE Transactions on Sustainable Computing
About IEEE Transactions on Sustainable Computing The IEEE Transactions on Sustainable Computing (TSUSC) is a peer-reviewed journal devoted to publishing high-quality papers that explore the different aspects of sustainable computing, over a wide range of problem domains and technologies from software and hardware designs to applications. Sustainability includes energy efficiency, natural resources preservation, and use of multiple energy sources as needed in computing devices and infrastructure. Scope of Interest Solutions for these problems call upon a wide range of algorithmic and computational frameworks, such as optimization, machine learning, decision support systems, meta-heuristics, and game-theory. Contributions to TSUSC must address sustainability problems in computing and information processing environments and technologies, and at different levels of the computational process. Submission Instructions: For author information and guidelines on submission criteria, please visit TSUSC Author Information and Submission Guidelines page on IEEE Transactions on Sustainable Computing. In addition to submitting your paper to TSUSC, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you! This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here.
Journal - IEEE Transactions on Parallel & Distributed Systems
About IEEE Transactions on Parallel and Distributed Systems IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers. Scope of Interest Topics of interest include, but are not limited to, the following: Particular areas of interest include, but are not limited to: Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing. Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems. Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation. Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open…
Journal - IEEE Transactions on Mobile Computing
About IEEE Transactions on Mobile Computing IEEE Transactions on Mobile Computing focuses on the key technical issues related to (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Scope of Interest Topics of interest include, but are not limited to, the following: Architectures – Mobile networks and hosts, Agents and proxies, Mobility management, mobile agent and proxy architectures, Integrated wireline and wireless systems, Planning and standardization. Support Services – Mobility and roaming, Nomadic computing, Multimedia, Operating system support, Power management. Algorithm/Protocol Design and Analysis – Online and mobile environments, Limited bandwidth, Intermittent connectivity. Mobile Environments – Data and knowledge management, Performance modeling and characterization, Security, scalability and reliability, Design, management and operation, Systems and technologies. Mobile Communication Systems – Wireless cellular and spread-spectrum systems, Multi-user and multi-access techniques and algorithms, Multi-channel processing, Channel coding, Data coding and compression. Applications – Location-dependent and sensitive, Nomadic computing, Wearable computers and body area networks, Multimedia applications and multimedia signal processing, Pervasive computing, Wireless sensor networks. Emerging Technologies. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. In addition to submitting your paper to IEEE Transactions on Mobile Computing, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting…
Journal - IEEE Transactions on Cloud Computing
About IEEE Transactions on Cloud Computing The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance. Scope of Interest The transactions specifically considers submissions in the areas of: virtualization and container technologies resource management and optimization in the cloud software-defined systems cloud-based big data management and analytics cloud programming models and tools cloud security and privacy cloud interoperability and integration energy management in cloud datacenters datacenter networking, mobile cloud computing service lifecycle management cloud performance and dependability business support and operational support systems cloud computing regulations and compliance cloud economics This title also considers submissions on X as a Service, where X may be Infrastructure, Storage, Network, Platform, Database, Information, Security, Management, Software, Mobile Backend, or Business Process. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. All inquiries on the status of submitted manuscripts should be directed to tcc@computer.org. TCC encourages submissions of papers that present new, original, and innovative ideas for the first time. The submission of an “extended version” of an already published conference or workshop paper is allowed, provided that (1) the extended version contains substantial (at least 35%) additional technical material; and (2) the authors have ensured that any copyright commitments they have made outside the IEEE are not violated by the eventual publication in TCC. When submitting an extended version, the authors should (1) acknowledge the earlier paper in ScholarOne Manuscripts at the time of submission; (2) include a cover letter summarizing the differences between the TCC submission…
Journal - IEEE Transactions on Big Data
About IEEE Transactions on Big Data The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. The articles will provide cross disciplinary innovative research ideas and applications results for big data including novel theory, algorithms and applications. Scope of Interest Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems. Research areas for big data include, but are not restricted to: big data analytics big data visualization big data curation and management big data semantics big data infrastructure big data standards big data performance analyses intelligence from big data scientific discovery from big data security privacy legal issues specific to big data Applications of big data in the fields of endeavor where massive data is generated are of particular interest. Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. TBD manuscript types and submission length guidelines are described below. All page limits include references and author biographies. For regular papers, pages in excess of these limits after final layout of the accepted manuscript is complete are subject to Mandatory Overlength Page Charges (MOPC). Note: All supplemental material must be submitted as separate files and must not be included within the same PDF file as the main paper submission. There is no page limit on supplemental files. Regular paper – 12 double…
Journal - IEEE Transactions on Computational Biology and Bioinformatics
About IEEE Transactions on Computational Biology and Bioinformatics IEEE Transactions on Computational Biology and Bioinformatics emphasizes the algorithmic, mathematical, statistical and computational methods that are central in bioinformatics and computational biology; the development and testing of effective computer programs in bioinformatics; the development of biological databases; and important biological results that are obtained from the use of these methods, programs and databases; the emerging field of Systems Biology, where many forms of data are used to create a computer-based model of a complex biological system. Scope of Interest The publication represents a mixture of three research modalities: a) fundamental methodological, algorithmic, mathematical, and statistical research directly motivated by biological issues; b) papers focusing on experimental and implementation issues; and c) papers on serious application of methods and programs that lead to discoveries of biological significance. Increasingly, papers contain elements of all three modalities. Specific topics of interest include, but are not limited to: sequence analysis comparison and alignment methods motif, gene and signal recognition molecular evolution phylogenetics and phylogenomics determination or prediction of the structure of RNA and Protein in two and three dimensions DNA twisting and folding gene expression and gene regulatory networks deduction of metabolic pathways micro-array design and analysis proteomics functional genomics molecular docking and drug design computational problems in genetics such as linkage and QTL analysis linkage disequilibrium analysis in populations and haplotype determination systems biology Submission Instructions: For author information and guidelines on submission criteria, please visit the Author Guidelines page on IEEE Transactions on Computational Biology and Bioinformatics In addition to submitting your paper to IEEE Transactions on Computational Biology and Bioinformatics, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing…
Journal - IEEE Computer Architecture Letters
About IEEE Computer Architecture Letters IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Scope of Interest Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems microarchitecture and ILP processors workload characterization performance evaluation and simulation techniques compiler-hardware and operating system-hardware interactions interconnect architectures memory and cache systems power and thermal issues at the architecture level I/O architectures and techniques independent validation of previously published results analysis of unsuccessful techniques domain-specific processor architectures (e.g., embedded, graphics, network, etc.) real-time and high-availability architectures reconfigurable systems Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. Please use the IEEE Template Selector to find the correct template. Submitted letters must be four pages or fewer, including all figures, tables, and references. Submissions exceeding this length will be returned without review. Templates are provided to assist you with formatting your submission and complying with the page limit; however, variances can occur during final layout if adjustments are needed to images, spacing, or other requirements. In this case, the production team will work with you to make…
Journal - IEEE Open Journal of the Computer Society
About IEEE Open Journal of the Computer Society The IEEE Open Journal of the Computer Society is dedicated to publishing articles on the latest emerging topics and trends in all aspects of computing. The scope of the Society shall encompass all aspects of theory, design, practice, and application relating to computer and information processing science and technology. Additional Information In keeping with IEEE’s continued commitment to providing options to support the needs of all authors, IEEE is introducing an open journal for the Computer Society in 2020. The IEEE Open Journal of the Computer Society (OJ-CS) is a rigorously peer-reviewed forum for rapid publication (five weeks) of open access articles describing high-impact results in all areas of interest to the IEEE Computer Society. OJ-CS complements existing IEEE Computer Society publications by providing a rapid review cycle and a thorough review of technical articles within the open-access-only framework. Our goal is to publish quickly; the rapid peer-review process is targeting a publication time frame of 5 weeks for most accepted papers. This journal is fully open and compliant with funder mandates, including Plan S. We invite you to be among the first to have your article peer-reviewed and published in this new journal. This is an exciting opportunity for your research to benefit from the high visibility and interest the journal’s marketing launch will generate. Your work will also be exposed to 5 million unique monthly users of the IEEE Xplore® Digital Library. OJ-CS will draw on the expert technical community to continue IEEE’s commitment to publishing the most highly cited content. The editor in chief is the distinguished Song Guo from the Hong Kong Polytechnic University. His research interests are in big data, cloud computing, mobile computing, and distributed systems, with more than 450 papers published in major conferences and…
Magazine - IEEE Internet Computing
About IEEE Internet Computing IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and software professionals, the magazine presents novel content from academic and industry experts on a wide range of topics, including applications, architectures, information management, middleware, policies, security, and standards. It applies theory to the practice of building Internet systems and feeds the experience of Internet system construction and use back into research and theory. Topics of Interest As the IEEE’s Internet publication, IC is widely available, both in print and in digital libraries, which makes it the premier place to publish novel scientific and engineering papers that have actual impact on the practice of system development. Appropriate topics of interest include but are not limited to: programming, information, and e-commerce technologies for Internet applications; network protocols, structures, and services; security, reliability, manageability, and scalability in Internet application; Internet application technologies, including streaming multimedia, collaboration, knowledge management, education, medicine, engineering design, science, and games and entertainment; human-interface issues for Internet systems; and social effects/aspects of the Internet. Submission Guidelines For author information and guidelines on submission criteria, visit the Author’s Information page. Important Submission Instructions: As of 30 October 2024, IEEE Internet Computing will use the IEEE Author Portal for all new submissions. If you have not yet started the submission process, please use the IEEE Author Portal to submit your article. If you have started a draft of your submission OR if you submitted your paper prior to the IEEE Author Portal launch, you will finish the peer review life cycle…
Magazine - IEEE Intelligent Systems
About IEEE Intelligent Systems IEEE Intelligent Systems is the first IEEE publication on artificial intelligence (AI) and has been publishing trusted content for more than 35 years. It bridges the gap between AI theories and practices. It publishes original, significant, and timely leading-edge theories and technologies of AI that perceive, reason, learn, discover, optimize, act, communicate, and reflect humanly, rationally, and ethically. It serves AI scientists, engineers, policymakers, and students of all levels. IEEE Intelligent Systems is a peer-reviewed bimonthly publication of the IEEE Computer Society. It is sponsored by the Association for the Advancement of Artificial Intelligence (AAAI). Our technical cosponsors are the British Computer Society (BCS) and the European Association for Artificial Intelligence (EurAI). Topics of Interests: AI foundations (cognitive science, neuroscience, mathematics, statistics, etc.) AI design, algorithms, processors, and chips Computer vision and multimedia analytics Data science and analytics Deep and shallow machine learning Human, natural, data, behavioral, social, and metasynthetic intelligence Human-machine cooperation, interaction, and interfacing Knowledge representation, engineering, and management Multiagent systems Natural language processing and text mining Reasoning, search, retrieval, and recommendation Robotics, UAVs, and autonomous devices Semantic networks, web and network science Social computing and social media analytics AI engineering, best practice, and project management AI applications (e-commerce, finance, game, government, health, security, etc.) AI ethics, privacy, security, trust, and interpretability Reviews, surveys, expert opinions, and position papers Learn about the various options for contributing to the IEEE Intelligent Systems publication. Submission Guidelines For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the IEEE Author Portal and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested,…
Magazine - IEEE Software
About IEEE Software IEEE Software’s mission is to be the best source of reliable, useful, peer-reviewed information for leading software practitioners—the developers and managers who want to keep up with rapid technology change. The authority on translating software theory into practice, this bimonthly magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peer-reviewed articles and columns by real-world experts illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, web applications and opportunities, testing, and usability. Scope of Interest IEEE Software welcomes articles describing how software is developed in specific companies, laboratories, and university environments as well as articles describing new tools, current trends, and past projects’ limitations and failures as well as successes. Sample topics geographically distributed development software architectures program and system debugging and testing the education of software professionals requirements design development testing management methodologies performance measurement and evaluation standards program and system reliability security programming environments languages and language-related issues web-based development usability software-related social and legal issues. Submission Instructions: Articles should be no more than 4,200 words, including 250 words for each figure and table. A maximum of 15 references and author biographies are not included in the word count. The abstract should be no more than 150 words and should describe the overall focus of your manuscript. With your submission, provide three actionable insights in bullet-list format that software practitioners will get from your paper. Please include a photo of each author. To gauge the suitability of an article that you are planning to submit to IEEE Software, you may send your abstract to the editor in chief at sigrid.eldh@ieee.org Before submitting, please read our author guidelines. When you are ready to submit, please go to https://ieee.atyponrex.com/journal/sw-cs. In addition to…
Magazine - IEEE Security & Privacy
About IEEE Security & Privacy IEEE Security & Privacy (S&P)’s mission is to be the best source of reliable, useful, peer-reviewed information for those aiming to understand how systems, data, and people are protected in a world of rapid technology evolution. This bimonthly magazine publishes articles that have clarity and context, targeting a wide audience who understand technology, from developers to executives, managers to policy-makers, and researchers interested in problems with practical impact. Peer-reviewed articles and columns by real-world experts illuminate all aspects of the field, including systems, attacks and defenses, software security, applied cryptography, usability, forensics, big data, ethics, biometrics, and more, with special issues focusing on targeted topics as well as issues devoted to key events and conferences. Scope of Interest S&P aims to provide a unique combination of research articles, case studies, tutorials, and departments covering diverse aspects of security and dependability of computer-based systems, including legal and ethical issues, privacy concerns, tools to help secure information, methods for development and assessment of trustworthy systems, analysis of vulnerabilities and attacks, trends and new developments, pedagogical and curricular issues in educating the next generation of security professionals, secure operating systems and applications, security issues in wireless networks, design and test strategies for secure and survivable systems, and cryptology, and other topics of interest to a general, technically oriented readership. Topics include, but are not limited to: Network Security Software and Hardware Security Systems Security Embedded Security Privacy-Enhancing Technologies Data Analytics for Security and Privacy Usable Security and Privacy Physical and Human Security Wireless and Mobile Security Security Foundations Security Economics Security and Privacy Policies Integrated Security Design Methods Critical Infrastructures Sociotechnical Security and Privacy Social Networks and Computing Surveillance Cybercrime and Forensics Developer and User Training Real-World Cryptography Intrusion Detection Malware Submission Instructions: Please ensure your submission aligns…
Magazine - IEEE MultiMedia
About IEEE MultiMedia IEEE MultiMedia magazine was founded in 1994 and is the first IEEE publication in the multimedia area. IEEE MultiMedia serves the community of scholars, developers, practitioners, and students who are interested in multiple media types and work in fields such as image and video processing, audio analysis, text retrieval, and data fusion. Some readers are generalists, others specialists; they work in industry, business, the arts, and academia. The magazine includes peer-reviewed articles, editorial comment, and conference and standards reports. Articles discuss research and advanced practice in multimedia hardware, software, systems, and their applications–spanning theory to working systems. Scope of Interest IEEE MultiMedia contains technical information covering a broad range of issues in multimedia systems and applications. Articles are expected to discuss research as well as advanced practice in hardware/software, ranging from theory to working systems. Especially encouraged are papers discussing experiences with new or advanced systems and subsystems. Acceptable papers must have a significant focus on aspects unique to multimedia systems and applications. These aspects are likely to be related to the special needs of multimedia information compared to other electronic data, for example, the size requirements of digital media and the importance of time in the representation of such media. The primary goal of the magazine is to provide a forum for researchers and practitioners to present new findings and discuss experiences with multimedia systems and applications. In addition, the magazine keeps readers informed of the state of the art in the multimedia arena, including technical trends and research directions. Submission Instructions: IEEE MultiMedia magazine seeks original articles discussing research and advanced practices in hardware and software, spanning the range from theory to working systems. We encourage our authors to write in a conversational style, presenting even technical material clearly and simply. You can use figures,…
Magazine - IEEE Micro
About IEEE Micro IEEE Micro, a bimonthly publication of the IEEE Computer Society, reaches an international audience of microcomputer and microprocessor designers, system integrators, and users. Readers want to increase their technical knowledge and learn the latest industry trends. Scope of Interest IEEE Micro addresses users and designers of microprocessors and microprocessor systems, including managers, engineers, consultants, educators, and students involved with computers and peripherals, components and subassemblies, communications, instrumentation and control equipment, and guidance systems. Contributions should relate to the design, performance, or application of microprocessors and microcomputers. Tutorials, review papers, and discussions are also welcome. Sample topic areas include: architecture communications data acquisition control hardware and software design/implementation algorithms (including program listings) digital signal processing microprocessor support hardware operating systems computer aided design languages application software development systems. Submission Instructions: Manuscripts must not exceed 6,000 words, including references (a maximum of 12), biographies, tables, and figures with captions (each average-size figure counts as 250 words). The abstract should be no more than 150 words and should describe the overall focus of your manuscript. All submissions pass through peer review before publication. IEEE Micro does not accept previously published material or material that has been submitted for publication elsewhere. All conference papers must have at least 30 percent new content compared to the original. In addition to submitting your paper to IEEE Micro, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data…
Magazine - IT Professional
About IT Professional: Technology Solutions for the Enterprise IT Professional is a bimonthly publication of the IEEE Computer Society for the developers and managers of enterprise information systems. IT Professional seeks original submissions for publication. Coverage Areas Emerging technologies Web services Internet security Data management Enterprise architectures and infrastructures Software development Systems integration Wireless networks. Submission Guidelines Submissions are subject to peer review on both technical merit and relevance to IT Pro’s readership. Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts. Only submissions that describe previously unpublished, original, state-of-the-art research and that are not currently under review by a conference or journal will be considered. Extended versions of conference papers must be at least 30 percent different from the original conference works. Feature articles should be no longer than 4,200 words and have no more than 20 references (with tables and figures counting as 300 words each). The abstract should be no more than 150 words and should describe the overall focus of your manuscript. Before submitting, please read our author guidelines. In addition to submitting your paper to IT Professional, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you! This magazine is a hybrid publication, allowing either…
Journal - IEEE Transactions on Pattern Analysis & Machine Intelligence
About IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Scope of Interest Topics of interest include, but are not limited to, the following: techniques for visual search document and handwriting analysis medical image analysis video and image sequence analysis content-based retrieval of image and video face and gesture recognition and relevant specialized hardware and/or software architectures Submission Instructions: This journal is a hybrid publication, allowing either traditional manuscript submission or author-paid Open Access (OA) manuscript submission. Read about OA submissions here. In addition to submitting your paper to TPAMI, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you! For author information and guidelines on submission criteria, please visit the TPAMI Information and Submission Guidelines page on IEEE Transactions on Parallel and Distributed Systems. Questions? Contact: Editorial board, advisory board, and staff
Magazine - IEEE Computer Graphics and Applications
About IEEE Computer Graphics & Applications IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics topics, including modeling, rendering, animation, (data) visualization, HCI/user interfaces, novel applications, hardware architectures, haptics, and virtual- and augmented-reality systems. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts. Submission Guidelines IEEE Computer Graphics and Applications (CG&A) submissions must fit the main focus areas of the magazine. We seek articles meant for a broad audience of both academics and practitioners. We welcome interdisciplinary as well as constructive contributions to ongoing discussions on today’s challenges in academia, business, and our daily lives. The spectrum of topics and works may span: specific algorithms to full system descriptions design, case, and evaluation studies societal challenges and mitigating CG-rooted approaches future and emerging technologies innovative applications of computer graphics or visual computing techniques There are several options for contributing content to CG&A. You can write: 1. Peer-reviewed research papers (For submission instructions, please read the section below.) Regular papers can be submitted at any time and are published as feature articles. Special-issue papers are submitted to open calls for papers and…
Conference
Paper due: 17 January 2025 Notification: 15 February 2025 Final Camera-Ready deadline: 28 February 2025 Conference Date: 23 - 25 June 2025 The Silicon Valley Cybersecurity Conference (SVCC) is an annual international conference in cybersecurity held at the heart of Silicon Valley, which is supported by the Silicon Valley Cybersecurity Institute (SVCSI). SVCC focuses on research in dependability, reliability, and security to address cyber-attacks, vulnerabilities, faults, and errors in networks and systems. This conference is a forum to present research in robustness and resilience in a wide spectrum of computing systems and networks. All aspects of the research and practice of applied security are within the scope of this conference. Relevant topics include innovative system design, protocols, and algorithms for detecting, preventing, mitigating, and responding to malicious threats in dependable and secure systems and networks including experimentation and assessment. The topics of interest are in the security of hardware, software, networks, clouds, cyber-physical systems, socio-technical systems, blockchain, and healthcare. Paper Submission The authors need to submit their original, unpublished papers along with an abstract of about 200 words to EasyChair. Submitted papers may not be accepted or under review elsewhere. Submissions should be at least six (6) pages long but not exceed eight (8) pages for full papers, in conference format (double blind reviewing) , should not use smaller than 10pt font size, and must be consistent with the IEEE conference format provided in the IEEE website https://www.ieee.org/conferences/publishing/templates.html. All the accepted papers will be submitted for inclusion into IEEE Xplore® as well as Indexing (A&I) databases. SVCC 2025 uses a double-blind review policy. Authors are required to remove their names, affiliation(s), and other identifying information from the header of the manuscript. To permit a blind review, do not include name(s) or affiliation(s) of the author(s) on the manuscript and abstract. Papers…
Submissions Due: 17 January 2025
Magazine - Computer
About Computer (Magazine) Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed articles written for and by computer researchers and practitioners representing the full spectrum of computing and information technology, from hardware to software and from emerging research to new applications. The aim is to provide more technical substance than trade magazines and more practical ideas than research journals. Computer seeks to deliver useful information for all computing professionals and students, including computer scientists, engineers, and practitioners of all levels. Computer publishes diverse types of editorial content. Our Cover Features, Computing Practices, Perspectives, and Research Features provide a strong mix of case studies, opinion pieces, and solutions to technical problems. Authors can submit manuscripts for publication as Computing Practices, Perspectives, or Research Features on any topic within Computer‘s scope at any time. Submission Guidelines For author information and guidelines on submission criteria, please visit the Computer Author Information page. Please submit papers through the ScholarOne system, and be sure to select the special issue name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts. Important Submission Instructions: As of 19 November 2024, Computer Magazine will use the IEEE Author Portal for all new submissions. If you have not yet started the submission process, please use the IEEE Author Portal to submit your article. If you have started a draft of your submission OR if you submitted your paper prior to the IEEE Author Portal launch, you will finish the peer review life cycle of submission(s) currently under review through https://ieee.atyponrex.com/journal/sw-cs. You do not need to submit a new manuscript. All new and future submissions will be submitted entirely through the IEEE Author Portal. In addition to submitting your paper to Computer, you are also encouraged to upload the data related to your paper to IEEE DataPort.…
Magazine - IEEE Annals of the History of Computing
About IEEE Annals of the History of Computing IEEE Annals of the History of Computing publishes work covering the broad history of computer technology, including technical, economic, political, social, cultural, institutional, and material aspects of computing. Featuring scholarly articles by historians, computer scientists, and interdisciplinary scholars in fields such as media studies and science and technology studies, as well as firsthand accounts, Annals is the primary scholarly publication for recording, analyzing, and debating the history of computing. Annals welcomes submissions on computing history by authors at every level, from graduate students and early-career academics to seasoned practitioners and senior scholars. Topics of Interests Feature (peer-reviewed) articles should be scholarly looks at computing history, which includes: Computing hardware Software The computer industry Social contexts And more If you are uncertain about whether a topic is appropriate for the magazine, send a draft to the editor in chief; other editorial board members can also give advice. All manuscripts go through a formal, single-blind peer review process on both technical merit and relevance to Annals‘ international readership. Submission Guidelines Submissions, which must be original manuscripts, are typically 5,000 to 8,000 words, but longer ones will be considered at the editor’s discretion. Word count includes all text, the abstract, keywords, footnotes, bibliography, and biographies. The abstract should be no more than 150 words and should describe the overall focus of your manuscript. Before submitting, please read the author guidelines. When you are ready to submit, please go to the IEEE Author Portal to upload your submission. If you have any questions regarding the submission process, please contact annals-ma@computer.org. In addition to submitting your paper to IEEE Annals of the History of Computing, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access…
Magazine - IEEE Security & Privacy
Important Deadlines: Submission deadline: 06 March 2025 Publication: September/October 2025 Deep Learning has made remarkable progress in various real-world applications ranging from robotics and image processing to medical applications. While there are many deep learning approaches and algorithms used today, few have made such a widespread impact as those belonging to the generative artificial intelligence (AI) domain. Generative AI involves the development of models which learn the underlying distribution of training data. Such models are then capable of generating new data samples with characteristics similar to those of the original dataset. Common examples of generative AI include generative adversarial networks (GANs), variational autoencoders (VAE), and transformers. In the last few years, generative AI and AI chatbots have made revolutionary progress not only from the technical side but also through their societal impact. As such, generative AI moved from being only a research topic into something equally interesting for academia, industry, and general users. One domain where generative AI is making significant improvements is security by allowing better, more secure designs but also more powerful evaluations of the security of systems. Unfortunately, generative AI is also susceptible to various attacks, which undermine its security and privacy. This special issue is dedicated to showcasing the latest technical advancements in emerging technologies related to generative AI and security. TOPIC SUMMARY: To give a comprehensive introduction, we plan to solicit papers presenting the latest developments in all aspects of security and generative AI. With the broad scope, we prioritize different topics as follows: Generative AI for security. This special issue is highly interested in the development of new AI-based attacks and defenses that use generative AI as a tool to improve/evaluate the security of systems. Potential topics include generative AI and malware analysis, generative AI and code generation, and generative AI and cryptography. Security…
Submissions Due: 06 March 2025
Conference
Paper title/abstract due: March 7, 2025 Paper PDF due: March 21, 2025 Notification: May 13, 2025 Final Camera-Ready copy deadline: May 31, 2025 Conference Date: 21-26 September 2025 IEEE International Test Conference (ITS) The International Test Conference (ITC) is the world’s premier venue dedicated to the electronic test of devices, boards and systems—covering the complete cycle from design verification, design-for-test, design-for-manufacturing, silicon debug, manufacturing test, system test, diagnosis, reliability and failure analysis, and back to process and design improvement. View More View Flyer Papers Submittals Authors are invited to submit original, unpublished papers describing recent work in the field of testing and testable design. Of particular interest are works dedicated to the topics listed on the right and/or works focused on special tracks such as Automotive Reliability, Reliability of AI HW and usage of AI for Testing, 3D/2.5D and Chiplet Testing, or HW Security. Authors are also invited to submit practical, industry-oriented papers. A special industrial case-study track is dedicated to papers that enable others to learn best industrial practices. Submissions must include: • Title of paper. • Name, affiliation, e-mail address of each author. (Double blind review is not required). • The corresponding author(s). ITC will communicate with the corresponding author(s). • One or two topic(s) from the topic list, or a description of your topic. • An electronic copy of a complete paper of 6~10 pages for regular papers (including regular Industrial case-study papers) or 3~5 pages for short Industrial Practices papers. • An abstract of 35 words or less to be entered online. ITC maintains a competitive selection process for technical papers. Submissions must clearly describe the status of the reported work, its contribution, novelty and/or significance. Supporting data, results (priority is often given to papers with results from real designs) and conclusions, and references to prior work…
Submissions Due: 7 March 2025
Conference
Important Deadlines: Abstract submission: February 23, 2025 Paper submission: March 2, 2025 Notification: April 18, 2025 Camera-ready and registration: May 25, 2025 Symposium dates: July 7-9, 2025 The IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS) is an established forum for presenting novel ideas and experimental data on Online Testing techniques and, more generally, to Design for Robustness, Design for Reliability, and Design for Security. The 2025 edition of IOLTS will be an in-person event from 7 to 9 July at Continental Ischia Hotel & SPA in Ischia, Italy. You are kindly invited to participate and submit your contributions to IOLTS’25. Learn More View Flyer Paper Submittals The IOLTS Program Committee invites original, unpublished, and not currently under review submissions for IOLTS 2025. Submitted papers must be complete manuscripts, up to six pages (the references do not count towards the page limit, and references don’t have page limits) in a standard IEEE A4 two-column format. Papers exceeding the page limit will be returned without review. Authors should clearly explain the significance of the work, highlight novel features, and describe its current status. If a paper is accepted as a full paper (6 pages) or a poster (2 pages), authors will be invited to prepare a camera-ready paper for inclusion in the formal proceedings of the conference and will be required to present the paper at the conference. For every presentation at the conference (including full oral presentations, poster presentations, and special session presentations), an associated ‘author’ registration (full registration rate) is required. The areas of interest include (but are not limited to) the following topics: Dependable system design Dependable Computer Architectures Design-for-Reliability Design for Reliability approaches for Low-Power Cross-layer reliability approaches Fault-Tolerant and Fail-Safe systems Functional safety Self-Test and Self-Repair Self-Healing design Self-Regulating design Self-Adapting design Reliability issues of…
Submissions Due: 23 February 2025
Journal - IEEE Transactions on Affective Computing
DEADLINES: Open for Submissions: 1 January 2025 Submissions due: 31 May 2025 Publication: Oct-Dec 2025 TOPIC SUMMARY: Nowadays, all over the world, the number of ICT investments in health and well-being is rapidly increasing. In this context, there is a growing interest in telemedicine that allows the provisioning of various kinds of health-related services and applications over the Internet. The benefit of telemedicine is twofold: on the one hand, it pushes down clinical costs and on the other hand, it improves the quality of life of both patients and their families. Telemedicine solutions are typically aimed at tele-nursing, tele-rehabilitation, tele-dialog, tele-monitoring, tele-analysis, tele-pharmacy, tele-trauma care, tele-psychiatry, tele-radiology, tele-pathology, tele-dermatology, tele-dentistry, tele-audiology, tele-ophthalmology, etc. In recent years the rapid advent and evolution of emerging ICT technologies (such as the Internet of Things (IoT), Cloud/Edge/Fog computing, Artificial Intelligence (AI), Blockchain, etc.) are revolutionizing telemedicine. In this context, the way of interaction between humans including patients and medical personnel and emerging eHealth applications is rapidly and deeply changing. Specifically, there are many affective factors that condition the interaction between humans and the eHealth technology, on how affective sensing and simulation techniques can inform our understanding of human affective processes, and on the design, implementation and evaluation of systems that carefully consider affecting among the factors that influence their usability. This special issue focuses on all the affecting computing aspects originated by emerging tele-healthcare solutions. Topics of interest include (but are not limited to): Emerging architectures for health influencing both physicians’ and patients’ behaviours and emotions; Computer-aided clinical diagnosis and therapy changing the traditional clinical approach; Networked applications for health changing the way of approaching traditional medicine; Algorithms for decision support and therapy improvement changing the classical approach of the medical personnel; AI applications for health influencing the emotional state of people; Advanced security…
Submissions Due: 31 May 2025
Magazine - IEEE Micro
Submissions due: 28 July 2025 Publication: Jan/Feb 2026 For years, the computational landscape, stretching from data centers and supercomputers to simple home devices, has predominantly depended on general-purpose processors which were sustainable while Moore's law guaranteed that chip transistor counts would double approximately every two years. Today, however, as the pace of Moore's law decelerates, we have witnessed an increasing shift toward hardware accelerators, designed to efficiently utilize hardware resources by concentrating solely on implementing the specific demands of target applications. Hardware accelerators, primarily engineered for an array of AI applications, from computer vision to recommendation systems and natural language processing, have been gaining growing traction, with substantial industrial investments and increasing scholarly interest. While the shift toward hardware accelerators has proven their capabilities, they face new challenges with major AI growth. AI algorithms are not only scaling in size rapidly but also evolving at an accelerated rate. The scale and diversity in modern AI pose a substantial challenge in the design of hardware accelerators for them. As a result, this IEEE Micro Special Issue seeks articles not only related to the hardware accelerators for the next generation of AI but also to the exploration of how AI itself can facilitate the creation of cost-efficient, fast, and scalable hardware. This issue’s topics of interest include, but are not limited to: Scalable hardware accelerators for the next generation of large AI models Deploying new technologies (e.g., in-memory computing, photonics, analog computing) for AI efficiency Sparsity-aware optimizations techniques for efficient AI Integration of AI techniques to expedite the hardware/software co-design Rethinking the software/hardware stack for heterogeneous AI accelerator systems Interconnection networks and data movement optimizations for the future of AI Using AI methods to enhance the reliability of hardware accelerators, design validation, and architecture front-end and backend Investigating security and privacy challenges…
Submissions Due: 28 July 2025
Magazine - IEEE Software
Important Dates Submissions Due: 9 April 2025 *Expected* Publication Issue: Jan/Feb 2026 Call for Papers Motivation and Scope "Software for all and by all” is the future of humanity. AIware, i.e., AI-powered software, has the potential to democratize software creation. The definition of software along with many Software Engineering (SE) aspects, processes, tools, platforms, and techniques will need to be either reimagined, reformulated or redesigned, enabling individuals of all backgrounds to participate in its creation with higher reliability and quality. Over the past decade, software has evolved from human-driven Codeware to the first generation of AIware, known as Neuralware, developed by AI experts. Foundation Models (FMs, including Large Language Models or LLMs), ushered in software’s next generation, Promptware, led by domain and prompt experts. However, this Promptware merely scratches the surface of software’s future. We are already witnessing the emergence of the next generation of software, Agentware, in which humans and intelligent agents jointly lead the creation of software. With the advent of brain-like World Models and brain-computer interfaces, we anticipate the arrival of Mindware, representing the 5th generation of software. Agentware and Mindware promise greater autonomy and widespread accessibility, with non-expert individuals, known as Software Makers, offering oversight to autonomous agents. The SE community will need to develop fundamentally new approaches and evolve existing ones, so they are suitable for a world in which software creation is within the reach of Software Makers of all levels of SE expertise, as opposed to solely expert developers. We must recognize a shift in where expertise lies in software creation and start making the needed changes in the type of research that is being conducted, the ways that SE is being taught, and the support that is offered to software makers. A foundation model (FM) is a machine learning model that is…
Submissions Due: 9 April 2025
Magazine - IEEE Internet Computing
Important Dates Submission deadline: 29 January 2025 Publication date: Jul/Aug 2025 Call for Papers Recent breakthroughs in Generative AI have sparked a new era of innovation. Generative AI models such as Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are capable of creating high-quality content in diverse modalities including text, images, videos, and many more, and handle complex tasks with human-level performance that were previously out of reach. Such capabilities bring enormous opportunities to a wide range of areas including edge computing. IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue on Generative AI for Edge Computing. The objective of this special issue is to enable researchers and practitioners to share novel and high-quality contributions related to all aspects of generative AI for edge computing. The special issue welcomes contributions from systems, AI, and network research, as well as benchmarks, development tools, and deployment of generative AI to applications where edge computing plays a critical role. Topics of interest include, but are not limited to: Efficiency enhancement of Generative AI models for edge devices such as model compression, small language models, efficient inferences and training. Generative AI for sensing Generative AI for 5G/6G such as physical layer and network protocol design, and integrated communications and sensing. Human-computer interaction that uses generative AI at the edge. Infrastructure support for generative AI at the edge. Privacy and security of generative AI at the edge such as federated learning and trusted execution environment. Benchmarks and development tools for generative AI at the edge. Applications and case studies such as autonomous driving, augmented reality, healthcare, and agriculture. Submission Guidelines For author information and guidelines on submission criteria, visit the Author’s Information page. Please submit papers through the IEEE Author Portal and be sure to select the special…
Submissions Due: 29 January 2025
Journal - ALL
Call for Papers In recent years, artificial intelligence (AI) has become a powerful tool in the domain of networking systems, addressing complex tasks across edge computing, cloud computing, Internet-of-things, embedded systems, and NextG cellular wireless networks. Recent research has also unleashed the potential of AI techniques in optimizing various aspects of wireless and wired networking and communications, fundamentally changing the design approaches across all layers in the protocol stack. Meanwhile, AI has also evolved into a ubiquitous service deployed over a large variety of networking systems. Thus, enhancing the performance of AI-based networking systems and facilitating AI on top of a wide spectrum of networking systems have become increasingly paramount in modern network system designs. In addition, utilizing the power of AI solutions to secure networking and communications against adversaries and developing new networking solutions for distributed AI security have become focal points in the AI and networking research communities. As a result, developing efficient and robust AI technologies on and for wireless and wired networking is crucial, particularly in networking systems that operate under limited communication and computational resources. To address all these new networking challenges in the era of AI, this ToN special issue aims to bring together experts from the fields of AI, wired and wireless networking and communications, and security fields to facilitate the dissemination of cutting-edge research findings in the areas of “AI for networks” and “AI on networks,” which will further foster emerging research directions to drive AI and networking innovations forward. Topics of Interest (but not limited to): AI for Networks AI modeling, methods, and evaluations for edge networks, cloud computing, embeddedsystems, vehicular networks, airborne networks, satellite networks, and NextG cellularnetworks; AI-powered cyber-security for edge networks, cloud computing, embedded systems,vehicular networks,airborne networks, satellite networks, and NextG cellular networks Explainable AI solutions on and…
Submissions Due: 15 January, 2025
Conference
Important Dates Workshop, proposal papers due - 15 October 2024 1 November 2024 Workshop, proposal notification - 15 November 2024 Symposium papers due - 15 February 2025 28 February 2025 5 March 2025 Full symposium paper notification - 7 April 2025 Workshop papers due - 15 April 2025 Workshop papers notification - 1 May 2025 Camera-ready copy – 1 June 2025 Call for Papers COMPSAC 2025: Harnessing the Power of Intelligent Systems: Shaping the Future The field of computing is rapidly evolving, driven by groundbreaking advancements in artificial intelligence, machine learning, and data analytics. At the forefront of this transformation lie intelligent systems, poised to revolutionize industries and societies. The 2025 IEEE COMPSAC conference in Toronto will be a global forum to explore intelligent systems’ latest breakthroughs and applications across diverse domains. From autonomous vehicles and smart cities to personalized healthcare and sustainable energy solutions, intelligent systems are pushing the boundaries of what’s possible. Innovative software and hardware architectures are underpinning these systems, enabling the robust, scalable, and efficient execution of complex algorithms and models. Distributed systems, edge computing paradigms, and heterogeneous computing platforms are vital to realizing the full potential of intelligent systems. This conference invites researchers, practitioners, and visionaries to share their insights, innovations, and experiences in developing and deploying intelligent systems that address real-world challenges. Emerging technologies such as quantum computing and blockchain will also be highlighted, as they hold the potential to unlock new frontiers in computing and engineering by enabling more powerful simulations, secure data sharing, and resilient systems. The 49th IEEE International Conference on Computers, Software, and Applications (COMPSAC 2025) will be held in Toronto, Canada on July 8-11, 2025. The conference theme is Harnessing the Power of Intelligent Systems: Shaping the Future. Intelligent Systems at COMPSAC 2025 will focus on research and development…
Submissions Due: 5 Mar 2025
Conference
Conference Overview Join us for a new international summit focused on the automotive industry, where academic researchers and industry leaders will collaborate to address the toughest Reliability, Availability, and Serviceability (RAS) challenges facing the automotive market now and in the future. This is a free, two-day summit located in Torino, Italy, at the Polytechnic University of Turin. This summit emphasizes end-use and market-ready solutions. Sponsored by the IEEE Computer Society in collaboration with the Test Technology Technical Community (TTTC), RAS in Automotive aims to foster innovation and collaboration in the field. Learn More Submission deadline: 25 October 2024 2 November 2024 Notification of Acceptance: 12 November 2024 Conference date: 5-6 December 2024 Paper Submittals We invite you to participate and submit your contributions to the RAS Summit. Areas of interest include (but are not limited to): Automotive Design-for-Test: Enable high quality at low cost Built-In Self-Test in automotive systems: Digital, analog, mixed-signal Power-up, power-down and periodic test Dependability Challenges: Addressing autonomous driving and e-mobility Aging effects on automotive electronics Fault tolerance and self-checking circuits Functional Safety and Cybersecurity Aging effects on automotive electronics Fault tolerance and self-checking circuits Verification and Validation: Ensuring automotive systems reliability Statistical post-processing Machine Learning, and AI for testing and reliability Reuse of Test Infrastructure: Accelerating New Product Development Statistical post-processing Machine Learning, and AI for testing and reliability Monitoring Silicon Lifecycle Management Statistical post-processing Machine Learning, and AI for testing and reliability Advanced Packaging and Chiplet Technology Packaging Equipment and Test Equipment Reliability of Systems in Package Reliability of Power Modules for Automotive Design for Test and Reliability of power modules Reliability Analysis and ISO Standardizations Reliability of AI Architectures for Automotive Design for Test of AI HW Accelerators Reliability assessment of AI computations Submit A Paper Submission Guidelines We welcome submissions of regular contributions…
Submissions Due: <strike>25 October 2024</strike> 2 November 2025
Conference
Research and industry paper submission deadline (6 pages max): 10 February 2025 Acceptance notifications: 10 May 2025 Final Camera-Ready copy deadline: 30 May 2025 Special session proposal deadline: To be announced Conference Date: 6-9 July 2025 IEEE Symposium on Very Large Scale Integration (ISVLSI) The IEEE Symposium on VLSI (ISVLSI) is a globally recognized conference that explores emerging trends and innovative concepts across a diverse range of topics within the VLSI umbrella. Here, you will have the opportunity to access cutting-edge research and advancements in VLSI technology, expand your professional network, and draw inspiration from some of the brightest minds in the field. This is your chance to engage with a dynamic community during this must-attend conference. Make your plans to join us from July 6-9, 2025 in Kalamata, Greece. Learn More View Flyer Paper Submittals ISVLSI 2025 invites researchers, scholars, and industry professionals to submit exceptional research for the conference. Authors are asked to submit full-length (6 pages maximum), original, unpublished papers along with an abstract of at most 200 words. Papers are encouraged to target one of the program tracks listed below. Submit A Paper Circuits, Reliability, and Fault-Tolerance (CRT) Focuses can include analog and mixed-signal circuits design, RF and communication circuits, adaptive circuits and interconnects, design for testability, online testing techniques, Defect and fault recovery strategies, variation-aware design, and sensor networks and their VLSI aspects. Computer-Aided Design and Verification (CAD) Areas to be explored include hardware and software co-design, logic and behavioral synthesis, simulation and formal verification, physical design challenges, signal integrity, power and thermal analysis, and statistical approaches in CAD. Digital Circuits and FPGA based Designs (DCF) Submit research on digital circuits and innovation, chaos, neural, and fuzzy-logic circuits, high speed and low-power circuits, energy efficient circuit design, near and sub-threshold circuits, memory systems, FPGA designs,…
Submissions Due: 10 February 2025
Journal - IEEE Transactions on Services Computing
By seamlessly integrating the physical and the virtual worlds, metaverse offers a platform of a new social ecosystem, dealing with digital twins and empowering virtual-reality symbiosis, which has been widely regarded as one of the key enablers of our future society with profound social and economic impacts. Empowered by the new generation of digital technologies such as Internet of Things (IoT), virtual reality, augmented reality, mixed reality (VR/AR/MR), 5G/6G, artificial intelligence (AI), blockchain, software services engineering, and edge computing, metaverse applications and services hold the potential to revolutionize the way we live, work, transact, learn, and interact. Bridging the virtual space and the real world, such metaverse services are more complicated with unique characteristics and present many new challenges and research questions to service design, development, and governance. This special issue aims at highlighting the latest novel research efforts in advancing metaverse services. We seek original and high-quality submissions related to, but are not limited to, the following topics: Metaverse service requirements, architecture and system design Service modeling, delivery, deployment and evolution for metaverse services User experience-oriented requirement engineering for metaverse services New paradigm of service engineering and methodology for metaverse services Cross-domain metaverse service interoperability Blockchain and metaverse services NFT and value engineering for metaverse services Quality of Experience and Quality of Service in metaverse Governance of metaverse service ecosystems Quality control for metaverse services Security, privacy, and trust frameworks for metaverse services Use cases of virtual-real-world metaverse service applications Metaverse processes management AI for metaverse services Metaverse as a service Important Dates Manuscript Submission Due: Mar 31, 2025 Guest Editors Distinguished Professor Michael Sheng (Lead Guest Editor), Macquarie University, Australia Professor Xiaofei Xu, Harbin Institute of Technology, China Professor Boualem Benatallah, Dublin City University, Ireland Important Submission Instructions: As of 20 November 2024, IEEE Transactions on Services Computing will…
Submissions Due: 31 March 2025
Magazine - IEEE Internet Computing
Publication: March/April 2025 The rapid growth of today’s computing and networking infrastructure, such as data centers, cloud platforms, and cellular networks, is being driven by continuing advances and new applications in machine learning, augmented reality, and scientific computing. This has led to a sharp rise in the carbon footprint of computing, raising environmental concerns. As such, the design of sustainable computing and network systems has emerged as an urgent research need to decarbonize these systems and make them carbon-efficient. IEEE Internet Computing magazine invites researchers and industry experts to contribute to our forthcoming special issue on Sustainable Computing. The objective of this special issue is to enable researchers and practitioners to share novel and high-quality contributions related to all aspects of Sustainable Computing. The special issue will take a broad view of systems and network research, relevant metrics, and hardware and software infrastructure related to sustainability. Topics of interest include, but are not limited to: Sustainable cloud and edge computing Sustainable networking Sustainability metrics for computing and networking Embodied and operational carbon management Carbon-aware resource management Carbon-aware application design Lifecycle optimization of computing systems Grid-data center interactions Submission Guidelines For author information and guidelines on submission criteria, visit the Author’s Information page. Important Submission Instructions: As of 30 October 2024, IEEE Internet Computing will use the IEEE Author Portal for all new submissions. If you have not yet started the submission process, please use the IEEE Author Portal to submit your article. If you have started a draft of your submission OR if you submitted your paper prior to the IEEE Author Portal launch, you will finish the peer review life cycle of submission(s) currently under review through ScholarOne Manuscripts. You do not need to submit a new manuscript. All new and future submissions will be submitted entirely through the IEEE Author Portal.…
Submissions Due: 1 December 2024
Magazine - Computer
Publication: May 2025 Topics relevant to computing professionals and scientists can be timely (sometimes fads of short duration), timeless, or both. In Computer, we seek a balance between timeless and timely computing technology articles. Software testing theory and practice nestles precisely in this sweet spot. In this forthcoming Special Issue of Computer, we will explore where software of all kinds of systems testing is today in both theory and practice. We seek papers that will explore the following and closely related questions: What are the most significant advances in testing in the last decade or decades? Has the cost of testing (as ratio of overall software cost) increased or decreased? How can time to market be minimized without compromising testing phases? How much more testing is practical for reducing security vulnerabilities, beyond testing basic functionality? Are we any better at knowing when to stop testing? Where do formal methods fit in with testing? What are the best ways to approach the test oracle problem? Many advanced testing methods exist for certain critical mission systems such as avionics. How can these techniques be applied efficiently in other industries? How have changes in management methods affected the use of testing? Does consumer software have adequate testing? How can traditional software test methods be applied to hardware description languages? What is the state of the art in automated testing? Testing of object-oriented vs in-OO software What are the latest developments in testing metrics? What are the latest Special approaches to testing open-source software, particularly for security testing and detection of auto-generated code? Many test methods for conventional software don't apply well to AI/ML. What methods can help? Submission Guidelines For author information and guidelines on submission criteria, please visit the Computer Author Information page. Please submit papers through the ScholarOne system, and be…
Submissions Due: 30 October 2024
Magazine - IEEE Software
Publication: March/April 2026 The energy footprint of software, software engineering, and software-intensive systems poses a significant concern. Energy-hungry software-intensive systems, such as blockchain applications and cryptocurrencies, the pervasive integration and usage of central cloud and edge services and applications, along with AI-enabled systems, contribute to this issue. In addition, the global digital transformation of all industry sectors is accelerating the steep increase in software energy demands. Green clean software pertains to the minimization of the energy needed to execute and use software-intensive systems. Adopting renewable energy resources to “feed” software execution is simply not enough, so reducing the carbon footprint must go hand in hand with minimizing the energy footprint. The other way around, software-intensive systems may be used to support green processes that aim at reducing the environmental impact on the sector, society, and planet Earth. Examples include software supporting the production and consumption of renewable energy resources, smart software for green-oriented behavioral change (e.g., adopting green public transportation and sustainable work practices), and the combination of energy optimization and digitalization (so-called twin transition). In addition, software sustainability from an environmental perspective may also concern software engineering and its processes: the energy used to develop, evolve, and maintain software-intensive systems is non-negligible and needs to be addressed. This IEEE Software Special Theme issue aims to target both the green clean software, and the green through software dimensions, with special emphasis on the role played by green software engineering. Possible topics: Practices and tactics for green clean software sustainability Green AI, AI for green Sustainability in data centers and high-performance computing Digital sufficiency Tradeoffs and balancing ecologic and technical software qualities Green clean software quality assessment Software sustainability by design Architecting for environmental sustainability Green quality metrics for software products and software engineering processes Standards, labels, indicators, and metrics for…
Submissions Due: 12 June 2025
Magazine - IEEE Pervasive Computing
Important Dates Title and Abstracts Due: 18 December 2024 (to pvc4-2025@computer.org) Full Manuscripts Due: 15 January 2025 (via submission site) Publication date: Oct-Dec 2025 Fifteen years ago, IEEE Pervasive Computing published a groundbreaking special issue on “Cross-Reality Environments.” This concept, a fusion of ubiquitous sensor/actuator networks and immersive virtual worlds, envisioned a seamless electronic “nervous system” that connects physical and virtual realities. Since then, we have witnessed exponential growth in pervasive computing technologies, virtual, augmented, and mixed reality (VR/AR/MR), and the generalization of the digital twin concept from devices to humans and further to virtual worlds. The recent advances break ground for a New Cross Reality that enhances human perception and interaction across real and virtual spaces. The New Cross Reality considers a unified space, where VR/AR/MR technologies act as the key connectors of sensor data, artificial intelligence, and physical experiences. Despite significant progress, key challenges remain in creating integrated systems that offer seamless interaction and rich user experiences. Similarly, realistic digital twin representations from individual human functions to detailed worlds and their application are open scientific problems with groundbreaking potential. This special issue seeks to revisit and expand upon the original vision, exploring recent developments, current research, and future directions in cross-reality systems. Relevant topics of this special issue include but are not limited to the following: Spatial computing and its role in cross-reality systems Integration of machine learning, AI, and LLM in cross-reality applications Integration of digital twins and virtual worlds with pervasive computing Middleware, frameworks, and system support for cross-reality applications Interaction design for immersive cross-reality applications Case studies and applications of cross-reality in various domains (e.g., healthcare, education, entertainment) Development and deployment of cross-reality environments User experience and usability studies in cross-reality environments Hardware and software innovation for cross-reality implementation Social computing within cross-reality environments Privacy,…
Submissions Due: 15 January 2025
Journal - IEEE Transactions on Computers
Publication: September 2025 IEEE Transactions on Computers seeks original manuscripts for a special issue/section on Carbon Efficient Computer Architectures and Systems scheduled to appear in the September 2025 issue. Green and sustainable computing has long been relatively synonymous with energy-efficient computing. Over the last decade there is evidence that energy and resulting carbon and other environmentally impactful emissions from Information and Communications Technology (ICT) is growing dramatically due to wide growth in cloud computing, IoT, and edge installations, globally. Additionally, during the same time period, awareness of concerns from embodied energy and carbon have emerged with the recognition that these impacts may even outstrip operational energy and carbon. Furthermore, electronic waste from disposal of electronics, exacerbated by short lifetimes of particularly mobile electronics continues to be a growing concern. Shortages of rare materials further impacts the future of electronics. This special issue seeks impactful work on addressing the carbon problem in ICT and computing broadly. Papers that propose methods to address carbon or other environmentally impactful metrics throughout the lifecycle, particularly with consideration of the manufacturing and/or disposal phase are especially encouraged. Papers on a range of topics are invited, including, but not limited to: New models and metrics for carbon-efficient or sustainable computing architectures and systems including both embodied and operational greenhouse gas emissions (GHGs) including CO2 Architectures and systems to avoid obsolescence, promote reusability, and enable longer lifetimes for saving CO2, GHGs Advances in edge and cloud technologies broadly to address provisioning and disaggregated computing to minimize CO2, GHGs Carbon efficient accelerators for computationally complex algorithms such as machine learning, blockchain, homomorphic encryption, among others Advances in architectures and systems leveraging emerging technologies targeting reduction of CO2, GHGs Techniques to advance computing within the circular economy that considers manufacturing, operation, reuse, recycling, and disposal phases of systems Architectures…
Submissions Due: 15 January 2025
Magazine - IEEE Micro
Publication: May/Jun 2025 In the era of exponential data growth, modern data centers and large-scale computing environments are challenged by the limitations of traditional, monolithic system designs that tightly integrate compute, memory, and storage resources. These conventional, all-integrated systems confront significant difficulties including resource over-provisioning, under-utilization, and hitting the memory capacity wall, highlighting the urgent need for innovative architectures. Resource disaggregation emerges as a compelling paradigm, promising to break down such monolithic system architectures into pools of shared, distributed resources. However, the transition to disaggregated resources introduces its own set of challenges, including the need for significant code refactoring, potential performance penalties, substantial new hardware investments, increased complexity in system maintenance, and security concerns. Amidst this landscape, cache coherent interconnects, like Intel’s Ultra Path Interconnect (UPI)/QuickPath Interconnect (QPI), AMD's Infinity Fabric, and Compute Express Link (CXL), offer a promising solution for disaggregated resources. By facilitating efficient access to remote memory through cache coherence for minimal latency and overhead, these interconnects are poised to significantly enhance the feasibility of resource disaggregation. This special issue of IEEE Micro seeks articles on the cutting-edge developments in cache coherent interconnects and their role in enabling resource disaggregation across computing, memory, and storage. Topics include, but are not limited to: Coherent Interconnect Protocols and Models for Resource Disaggregation Systems. Software/Hardware Co-Designs for High-Performance Disaggregated Coherency Management. Processor/Accelerator Designs Oriented towards Management in Coherent Disaggregated Systems. Application-Architecture Co-Designs, Exploiting Coherent Disaggregation Techniques. Reliability, Testability, and Debuggability of Coherent Disaggregation Systems. Applications Based on Coherent Interconnects and Disaggregated Systems. Important Submission Instructions: As of 20 November 2024, IEEE Micro will use the IEEE Author Portal for all new submissions. If you have not yet started the submission process, please use the IEEE Author Portal to submit your article. If you have started a draft of your submission OR if you submitted your…
Submissions Due: 01 December 2024
