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

0

IEEE-CS_LogoTM-orange
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
IEEE-CS_LogoTM-orange

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 2026 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

Rene Vidal

Award Recipient

Featured ImageRené Vidal is the Herschel L. Seder Professor of Biomedical Engineering and the inaugural Director of the Mathematical Institute for Data Science (MINDS) at The Johns Hopkins University, an Amazon Scholar, and a Chief Scientist at NORCE. He is also the director of the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning and the director of the TRIPODS Institute on the Foundations of Graph and Deep Learning. He received his B.S. degree in Electrical Engineering (valedictorian) from the Pontificia Universidad Católica de Chile in 1997, and his M.S. and Ph.D. degrees in Electrical Engineering and Computer Science from the University of California at Berkeley in 2000 and 2003, respectively. Dr. Vidal is co-author of the book “Generalized Principal Component Analysis” (Springer 2016), co-editor of the book “Dynamical Vision” (Springer 2006) and co-author of over 300 articles in machine learning, computer vision, signal and image processing, biomedical data science, robotics and control. Dr. Vidal has served as Associate Editor in Chief and Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and Computer Vision and Image Understanding; Associate Editor of Medical Image Analysis, the SIAM Journal on Imaging Sciences and the Journal of Mathematical Imaging and Vision; and as Guest Editor of the International Journal of Computer Vision and the IEEE Signal Processing Magazine. He has also served as a General Chair, Program Chair or Area Chair for all major conferences in machine learning, computer vision, and medical image analysis. Dr. Vidal is the recipient of the 2021 Edward J. McCluskey Technical Achievement Award, 2018 D’Alembert Faculty Fellowship, 2012 IAPR J.K. Aggarwal Prize, the 2009 ONR Young Investigator Award, the 2009 Sloan Research Fellowship, and the 2005 NFS CAREER Award. He has also received best paper awards at JVCI 2015, ICCV-3DRR 2013, PSIVT 2013, CDC 2012, MICCAI 2012, CDC 2011 and ECCV 2004. Dr. Vidal is a Fellow of the AIMBE, Fellow of the IEEE, Fellow of the IAPR and a member of the ACM and SIAM.



Awards

2021 Edward J. McCluskey Technical Achievement Award
“For pioneering contributions to subspace clustering and generalized principal component analysis with applications in computer vision and pattern recognition.”
Learn more about the Edward J. McCluskey Technical Achievement Award

LATEST NEWS
IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing
IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing
Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility
Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility
Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award
Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award
Episode 1 | Interview with Michelle Tomes
Episode 1 | Interview with Michelle Tomes
Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards
Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards
Read Next

IEEE Quantum Week 2026 to Unveil the Latest in Quantum Computing

Creating the Next Generation of Connected Autonomous Systems: an Interview with Weisong Shi on Edge Computing, Autonomous Driving, and the Future of Mobility

Call for Nominations: IEEE Computer Society Opens Submissions for the “AI’s 10 to Watch” Award

Episode 1 | Interview with Michelle Tomes

Celebrating Excellence: 2025 IEEE Transactions on Mobile Computing Awards

Tech Horizons: Building AI Skills and Confidence in Panama’s Youth

TechMovel: Expanding Digital Access in Brazil

InfiLab Podcast: Fueling Your Tech Career with Sowmya Chintakindi

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