蜜桃传媒

Target	/content/shared/engineering/computer-science-engineering/profiles/faculty/ladder/lyu-siwei
Profile	Siwei Lyu PhD Siwei Lyu PhD Siwei Lyu PhD SUNY Empire Innovation Professor Professor Co-Director Center for Information Integrity Research Topics digital media forensics; computer vision; machine learning Contact Information 313 Davis Hall Buffalo NY, 14260 Phone: (716) 645-1587 siweilyu@buffalo.edu Related Links Biography Teaching Research Students Latest News Biography Siwei Lyu is a SUNY Empire Innovation Professor in the Department of Computer Science and Engineering at the 蜜桃传媒, State 蜜桃传媒 of New York. Dr. Lyu's research interests include digital media forensics, computer vision, and machine learning. He is currently the Director of and the founding Co-Director of Center for Information Integrity (CII) of 蜜桃传媒, State 蜜桃传媒 of New York. Education PhD, Computer Science, Dartmouth College, 2005 MS, Computer Science and Technology, Peking 蜜桃传媒, Beijing, China, 2000 BS, Information Science, Peking 蜜桃传媒, Beijing, China, 1997 Awards International Association of Pattern Recognition (IAPR) Fellow, 2022 Institute of Electrical and Electronics Engineers (IEEE) Fellow, 2021 IEEE Region 1 Technological Innovation Award, 2021 Google Faculty Research Award, 2019 SUNY Chancellor's Award for Excellence in Research and Creative Activities, 2018 IEEE Signal Processing Society Best Paper Award, 2011 National Science Foundation CAREER Award, 2010
Teaser	Siwei Lyu, PhD PhD, Dartmouth College 313 Davis Hall Phone: (716) 645-1587 siweilyu@buffalo.edu SUNY Empire Innovation Professor Professor Department of Computer Science and Engineering School of Engineering and Applied Sciences Co-Director Center for Information Integrity Call Siwei Lyu Email Siwei Lyu Profile for Siwei Lyu 313 Davis Hall Phone: (716) 645-1587 siweilyu@buffalo.edu
Tags	Website : School of Engineering and Applied Sciences (SEAS) / SEAS homepage / Named Professors Website : Collaborative Institute for Multisource Information Fusion Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Vision Audience : Employees / Faculty / Tenure-Track Faculty Website : School of Engineering and Applied Sciences (SEAS) / Computer Science and Engineering Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Information Integrity Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Computer Security and Cryptography Collection : Alphabet / L Collection : Research-Creative Interests / SEAS / Computer Science and Engineering / Artificial Intelligence, Machine Learning and Data Mining