Jiebo Luo

Albert Arendt Hopeman Professor of Engineering / Professor of Computer Science University of Rochester

  • Rochester NY

Luo is an expert in artificial intelligence (AI) foundations in an array of fields

Contact

University of Rochester

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Areas of Expertise

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

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

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

  • 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

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.

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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.

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Selected Event Appearances

Speaker

Global AI Summit (GAIN)  Riyadh, Saudi Arabia

2024-09-12

Research Focus

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).

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