Princeton University

School of Engineering & Applied Science

Visualizing the Invisibles: Micro-Signal Analytics for Digital Forensics and Health

Min Wu, University of Maryland, College Park
B205 Engineering Quadrangle
Monday, October 22, 2018 - 4:30pm


Visual sensing and processing have undergone a significant growth in the recent decades. Complementing the R&D dealing with visible signals are those exploiting a variety of nearly invisible ones.  These “micro-signals” are typically an order of magnitude lower in strength or scale than the dominant ones. They are ubiquitous, and often removed or ignored as nuances. Increasingly, it has been found that many micro-signals help us connect the physical world with the digital cyberspace, offering beneficial information that would otherwise harder to obtain. This talk will provide an overview of the research advances on several representative types of micro-signals, discussing how to extract, analyze and harness them, and presenting several applications in security, digital humanity, and health.


Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park. She received her Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media and Security Team (MAST), with main research interests on information security and forensics and multimedia signal processing. Her research and education have been recognized by a U.S. NSF CAREER award, a TR100 Young Innovator Award from the MIT Technology Review, an U.S. ONR Young Investigator Award, a Computer World "40 Under 40" IT Innovator Award, University of Maryland Invention of the Year Awards, IEEE Distinguished Lecturer recognition, and several paper awards from IEEE SPS, ACM, and EURASIP. She was elected IEEE Fellow and AAAS Fellow for contributions to multimedia security, forensics, and signal processing. Dr. Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013), and served as Vice President - Finance of the IEEE Signal Processing Society (2010-2012) and Editor-in-Chief of the IEEE Signal Processing Magazine (2015-2017).