Jiebo Luo
Albert Arendt Hopeman Professor of Engineering / Professor of Computer Science | University of Rochester
Rochester, NY, UNITED STATES
Luo is an expert in artificial intelligence (AI) foundations in an array of fields
Areas of Expertise (16)
AI
Artificial Intelligence and Social Science
Artificial Intelligence and Scheduling and Planning
Artificial Intelligence and Robotics
Artificial Intelligence and Natural Language Processing
Artificial Intelligence and Material Science
Artificial Intelligence and Manufacturing
Artificial Intelligence and Machine Learning
Artificial Intelligence and Ethics and Safety
Artificial Intelligence and Education
Artificial Intelligence and Computer Vision
Artificial Intelligence and Business and Finance
Artificial Intelligence and Biology and Medicine
Artificial Intelligence and Augmented Reality and Virtual Reality
Artificial Intelligence and Audio and Speech Recognition
Artificial Intelligence and Agriculture
Links (2)
Biography
Jiebo Luo joined the University of Rochester in 2011 after a prolific career of 15 years at Kodak Research Laboratories. His research spans computer vision, natural language processing, machine learning, data mining, computational social science, and digital health. He has authored nearly 600 technical papers and more than 90 U.S. patents. He served as program co-chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016 and IEEE ICIP 2017, and general co-chair ACM Multimedia 2019 and IEEE ICME 2024, and has been on the editorial boards of several IEEE Transactions journals and publications. He has served as the Editor in Chief of the IEEE Transactions on Multimedia for a three-year term from 2020-2022. He is a Fellow of ACM, AAAI, IEEE, SPIE and IAPR.
Education (3)
University of Rochester: PhD, Electrical Engineering 1995
University of Science and Technology China: MS, Electrical Engineering 1992
University of Science and Technology of China: BS, Electrical Engineering 1989
Affiliations (5)
- American Institute for Medical and Biological Engineering
- Association for the Advancement of Artificial Intelligence
- Association for Computing Machinery
- Institute of Electrical and Electronics Engineers
- Society of Photo-Optical Instrumentation Engineers
Selected Media Appearances (2)
Who is more polarized about AI—the tech community or the general public?
University of Rochester online
2024-07-30
An analysis of nearly 34,000 comments on Reddit provides new insights about perceptions of AI after ChatGPT’s launch. Researchers from the University of Rochester led by Jiebo Luo, a professor of computer science and the Albert Arendt Hopeman Professor of Engineering, used ChatGPT and natural language processing techniques to analyze the themes and sentiments of 33,912 comments in 388 unique subreddits in the roughly six months following the generative AI tool’s launch in November 2022. The findings appear in Telematics and Informatics.
Reducing oral health disparities using AI
University of Rochester online
2023-08-24
Scientists in the University of Rochester's Computer Science Department and Eastman Institute for Oral Health are developing a smartphone app that can detect tooth decay. “Our goal is to meet the parents and children where they are, and to promote prevention, early detection and treatment," said Jiebo Luo, a principal investigator for the project.
Selected Event Appearances (1)
Speaker
Global AI Summit (GAIN) Riyadh, Saudi Arabia
2024-09-12
Research Focus (1)
Overview
Jiebo Luo's research spans image processing, computer vision, NLP, machine learning, data mining, computational social science, and digital health. He is the co-author of the book "Deep Neural Network for Medical Image Computing: Principles and Applications" (Elsevier, 2022). His research earned the 2021 "Best Long Paper" award from the North American Chapter of the Association for Computational Linguistics (NAACL); the 2018 "Best Industrial Related Paper" from the International Conference on Pattern Recognition (ICPR); the 2014 "IEEE Multimedia Prize Paper" from IEEE Transactions on Multimedia (TMM); and the 2010 "Best Student Paper" from the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
