• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Profiles
  • Home
  • /Profiles

Radhia Cousot

Award Recipient

Featured ImageFeatured ImageRadhia Cousot is an emeritus CNRS (French National Center for Scientific Research) senior research scientist in Computer Science, at the École Normale Supérieure, Paris, France. She is Doctor ès Sciences in Mathematics. Radhia Cousot was appointed from 1980 as CNRS junior research scientist, research scientist and senior research scientist at the Computer Science laboratories of the University Henri Poincaré of Nancy (1980–1983), University Paris-Sud at Orsay (1984–1988), École Polytechnique (1989–2008) where from 1991 she headed the research team "Semantics, Proof and Abstract interpretation", and École Normale Supérieure (from 2006 to present). Radhia Cousot was awarded the ACM SIGPLAN Programming Languages Achievement Award (2013) with Patrick Cousot. Radhia Cousot is the inventor, with Patrick Cousot, of Abstract Interpretation, a fundamental, general, and unifying theory of sound abstraction and approximation of the mathematical structures involved in the formal semantics (describing the possible behaviors of systems), the formal specification (describing the intended behaviors of systems), the static analysis (to let a computer fully automatically infer properties of systems from their formal descriptions, as necessary for verification), the proof (to check manually or with the assistance of a theorem prover or proof assistant that systems have specified properties), and the verification (to let a computer fully automatically check that systems have specified properties) of computer (and biological) systems. Abstract Interpretation has proved to scale up to automatically verify very large systems as found in advanced real-world industrial applications in transportation, communications and medicine.
LATEST NEWS
Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration
Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration
IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age
IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age
Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development
Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development
IEEE Std 3158.1-2025 — Verifying Trust in Data Sharing: Standard for Testing and Performance of a Trusted Data Matrix System
IEEE Std 3158.1-2025 — Verifying Trust in Data Sharing: Standard for Testing and Performance of a Trusted Data Matrix System
IEEE Std 3220.01-2025: Standard for Consensus Framework for Blockchain System
IEEE Std 3220.01-2025: Standard for Consensus Framework for Blockchain System
Read Next

Reimagining Infrastructure and Systems for Scientific Discovery and AI Collaboration

IEEE 2881: Learning Metadata Terms (LMT) Empowers Learning in the AI Age

Platform Engineering: Bridging the Developer Experience Gap in Enterprise Software Development

IEEE Std 3158.1-2025 — Verifying Trust in Data Sharing: Standard for Testing and Performance of a Trusted Data Matrix System

IEEE Std 3220.01-2025: Standard for Consensus Framework for Blockchain System

Mapping the $85B AI Processor Landscape: Global Startup Surge, Market Consolidation Coming?

AI Agentic Mesh – A Foundational Architecture for Enterprise Autonomy

IEEE O.C A.I “DEVHACK” Hackathon 2025 Winner Celebration

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter