Rate My Professor Siwei Lyu

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.