Jiebo Luo joined the University of Rochester in 2011 after a prolific career of 15 years at Kodak Research. His research spans computer vision, machine learning, data mining, social media, and biomedical informatics. He has authored more than 400 technical papers and more than 90 U.S. patents. He has served as the program chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016 and IEEE ICIP 2017, as well as on the editorial boards of several IEEE Transactions journals and publications. He will serve 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.
IEEE Region 1 Technological Innovation Award (2018); IEEE Multimedia Best Paper Prize (2014); Best Student Paper (CVPR 2010, senior author); 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). He has been involved in numerous technical conferences, including serving as program co-chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016, and IEEE ICIP 2017, and general co-chair of ACM Multimedia 2018. He has served as the Editor-in-Chief of the IEEE Transactions on Multimedia (2020-2022). He is a Fellow of ACM, AAAI, IEEE, SPIE, and IAPR.
- Computer Vision
- Machine learning
- Data Mining
- Social Media
- Biomedical Informatics
- Human Computer Interaction
- Ubiquitous and Mobile Computing