Rate My Professor Siwei Lyu

Siwei Lyu is a SUNY Distinguished Professor and a SUNY Empire Innovation Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York. He currently directs the Institute for Artificial Intelligence and Data Science, the UB Media Forensic Lab, and co-directs the Center for Information Integrity. Prior to joining UB in 2020, Lyu served as Assistant Professor from 2008 to 2014, Associate Professor from 2014 to 2019, and Full Professor from 2019 to 2020 at the University at Albany, State University of New York, where he founded the Computer Vision and Machine Learning Lab. Earlier, he was a Post-Doctoral Research Associate at the Howard Hughes Medical Institute and the Center for Neural Science at New York University from 2005 to 2008, and an Assistant Researcher at Microsoft Research Asia in 2001. His academic journey began with a Ph.D. in Computer Science from Dartmouth College in 2005, an M.S. in Computer Science from Peking University in 2000, and a B.S. in Information Science from Peking University in 1997.

Lyu's research specializes in digital media forensics, computer vision, and machine learning. His work has garnered over 28,000 citations and has been funded by the National Science Foundation, DARPA, and the U.S. Department of Homeland Security. He has published over 240 refereed journal and conference papers, including "Steganalysis Using Higher-Order Image Statistics" (IEEE Transactions on Information Forensics and Security, 2006), "How Realistic is Photorealistic?" (IEEE Transactions on Signal Processing, 2005), "Exposing Region Splicing Forgeries with Blind Local Noise Estimation" (International Journal of Computer Vision, 2014), and the book chapter "Natural Image Statistics for Digital Image Forensics" (2012). Lyu has received awards including IEEE Fellow (2021), IAPR Fellow (2022), IEEE Region 1 Technological Innovation Award (2021), Google Faculty Research Award (2019), NSF CAREER Award (2010), and IEEE Signal Processing Society Best Paper Award (2011). He is also a Fellow of the AAIA, Distinguished Member of the ACM, and has served on the IEEE Signal Processing Society’s Information Forensics and Security Technical Committee with editorial roles for journals.