Siwei Lyu is a tenured Associate Professor at the Department of Computer Science, the College of Engineering and Applied Sciences, the University at Albany, State University of New York. He is the Director of Computer Vision and Machine Learning Lab (CVML) at U. Albany.
Dr. Lyu received his Ph.D. degree in Computer Science from Dartmouth College in 2005, and his M.S. degree in Computer Science in 2000 and B.S. degree in Information Science in 1997, both from Peking University, China. Dr. Lyu was a tenure-track Assistant Professor from 2008-2014. During 2005-2008, he was a Post-Doctoral Research Associate at the Howard Hughes Medical Institute and the Center for Neural Science of New York University. He was an Assistant Researcher at Microsoft Research Asia (then Microsoft Research China) in 2001.
Dr. Lyus research interests include digital image forensics, computer vision, computational neuroscience and machine learning. Dr. Lyu has published over 90 refereed journal and conference papers. Dr. Lyus research projects are funded by NSF, DARPA, NIJ, UTRC, IBM and University at Albany, SUNY. He is the recipient of the IEEE Signal Processing SocietyBest Paper Awardin 2011, the National Science Foundation CAREER Award in 2010, SUNY Albanys Presidential Award for Excellence in Research and Creative Activities (2017), and SUNY Chancellor's Award for Excellence in Research and Creative Activities (2018).
Dr. Lyu serves on the IEEE SPS Information Forensics and Security Technical Committee (2017-2019), and is on the Editorial Board of IEEE Transactions on Information Forensics and Security. Dr. Lyu is a senior member of International Society of Electric and Electronic Engineers (IEEE), and a member of Omicron Delta Kappa (OΔΚ).
- (11/19/2018) I received SUNY Chancellor's Award for Research and Creative Activities.
(left to right) President Havidαn Rodrνguez, Dr. Siwei Lyu, and Dean Kim Boyer.
- (11/06/2018) Our work on detecting DeepFake generated videos using detection of eye blinking are reported by many news media, including The MIT Technology Review
[article], CNN Money
[article], Spectrum News [TV interview] Wired Magazine [article],
[interview], DataSkeptics Podcast [interview], Deseret News [article], The Register [article], Columnbia Journalism Review [article], iNews [article]
- For details, check my article on The Conversation and our paper to be presented at WIFS 18.
- (09/01/2018) Our pose estimation work is ranked #1 on the very challenging MPII benchmark.
Video demonstration of our pose estimation results. This work has also been accepted for publication by ECCV.
- (02/18/2018) I talked about detecting Deep Fakes on Science Friday with Ira Flatlow [interview].