معرفی
Jiebo Luo is a Professor of Computer Science at the University of Rochester, where he has been since 2014. Prior to this, he spent over 15 years at Kodak Research Laboratories, rising to Senior Principal Scientist. His research spans computer vision, natural language processing, machine learning, and computational social science.
- BS and MS in Electrical Engineering from University of Science and Technology of China (USTC), 1989 and 1992
- PhD in Electrical Engineering from University of Rochester, 1995
Dr. Luo's work focuses on bridging computer vision with social science through multimedia analysis, social media modeling, and digital health. His research includes innovative approaches to unsupervised learning, event recognition in videos, and multi-label classification.
His publications highlight trends in deep learning for medical imaging, social media as sensors, and video analytics. Key subfields include semantic understanding, attention mechanisms, and multimodal fusion.
- 2021 ACM SIGMM Technical Achievement Award
- 2018 IEEE Region 1 Technological Innovation in Academic Award
- 2004 Eastman Innovation Award
- Fellowships: ACM, AAAI, IEEE, IAPR, SPIE
Dr. Luo serves as Editor-in-Chief for IEEE Transactions on Multimedia (2020-2022) and has held leadership roles in multiple IEEE Technical Committees. He is a Data Science CoE Distinguished Researcher at the Goergen Institute for Data Science and a Board Member of the Greater Rochester Data Science Industry Consortium.
