Jiebo Luo joined the University of Rochester in 2011 after a prolific career of 15 years at Kodak Research. 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 has 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, as well as 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 3-year term (2020-2022). He is a Fellow of ACM, AAAI, IEEE, SPIE and IAPR.
ACM SIGMM Technical Achievement Award (2021); IEEE Region 1 Technological Innovation Award (2018); Eastman Innovation Award (2004)
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 has been recognized by the 2021 Best Long Paper of the North American Chapter of the Association for Computational Linguistics (NAACL), 2018 Best Industrial Related Paper of the International Conference on Pattern Recognition (ICPR), 2014 IEEE Multimedia Prize Paper of the IEEE Transactions on Multimedia (TMM), and the 2010 Best Student Paper of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
- Computer Vision
- Machine learning
- Data Mining
- Social Media
- Biomedical Informatics
- Human Computer Interaction
- Ubiquitous and Mobile Computing