• 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

Jiebo Luo

Award Recipient

Featured ImageJiebo Luo is the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. Prior to joining the faculty of the University of Rochester, he was a Senior Principal Scientist with the Kodak Research Laboratories where he conducted and led research and advanced development for over 15 years. His research interests include computer vision, natural language processing, machine learning, data mining, computational social science, and digital health. Dr. Luo has authored over 600 peer-reviewed journal and conference papers and holds over 90 granted US patents (with an h-index of 128 and a total citation of 60,000+). He was the recipient or co-recipient of the Best Student Paper Award (as the senior author) at the 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Multimedia Prize Paper Award, Best Industrial Related Paper Award at the 2018 International Conference on Pattern Recognition (ICPR), and Best Long Paper Award at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). Dr. Luo received the 2018 IEEE Region 1 Technological Innovation in Academic Award, the 2021 ACM SIGMM Technical Achievement Award for Outstanding Technical Contributions to Multimedia Computing, Communications, and Applications, and the 2025 IEEE Computer Society Edward J. McCluskey Technical Achievement Award.

Dr. Luo is active in the organizing numerous technical conferences, including most notably General Co-Chair of the 2018 ACM Multimedia Conference and 2024 IEEE International Conference on Multimedia and Expo (ICME), and Program Co-Chair of the 2010 ACM Multimedia Conference, 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), and 2017 IEEE International Conference on Image Processing (ICIP). Dr. Luo served as the Editor-in-Chief for the IEEE Transactions on Multimedia (2020-2022) and on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Transactions on Big Data (TBD), ACM Transactions on Intelligent Systems and Technology (TIST), Health Data Science, and so on. Dr. Luo is a Kodak Distinguished Inventor, a Fellow of NAI, ACM, AAAI, IEEE, AIMBE, IAPR, and SPIE, as well as a Foreign Member of Academia Europaea.

Awards

2025 Edward J. McCluskey Technical Achievement Award
“For sustained contributions to computer vision and multimedia computing technologies.”
Learn more about the Edward J. McCluskey Technical Achievement Award

LATEST NEWS
Tech Horizons: Building AI Skills and Confidence in Panama’s Youth
Tech Horizons: Building AI Skills and Confidence in Panama’s Youth
TechMovel: Expanding Digital Access in Brazil
TechMovel: Expanding Digital Access in Brazil
InfiLab Podcast: Fueling Your Tech Career with Sowmya Chintakindi
InfiLab Podcast: Fueling Your Tech Career with Sowmya Chintakindi
How Hardware-Level Security Enhances Operational Visibility and Resilience
How Hardware-Level Security Enhances Operational Visibility and Resilience
The Future of Automated Debugging and Software Testing with Harlan D Mills Award Winner Andreas Zeller
The Future of Automated Debugging and Software Testing with Harlan D Mills Award Winner Andreas Zeller
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter
Read Next

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

How Hardware-Level Security Enhances Operational Visibility and Resilience

The Future of Automated Debugging and Software Testing with Harlan D Mills Award Winner Andreas Zeller

IEEE CS High-Performance Computing Conference SC Recognized as Fastest Growing Event in 2025

ASTRA 2025: Neuroimaging, Brain-Computer Interfaces, and AI

IEEE Computer Society Launches Software Professional Certification