Associate Dean for Graduate Programs
University of Maryland Institute for Advanced Computer Studies
The Institute for Systems Research
Dr. Min Wu received a B.E. degree in electrical engineering and a B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 (both with the highest honors), and an M.S. degree and Ph.D. degree in electrical engineering from Princeton University in 1998 and 2001, respectively. She was with NEC Research Institute and Signafy, Inc. Princeton, NJ, in 1998, and with the Media Security Group, Panasonic Information & Networking Laboratories, Princeton, NJ, in 1999. Since Fall 2001, she has been a faculty member of the Electrical and Computer Engineering Department and the Institute of Advanced Computer Studies (UMIACS) at the University of Maryland. She is also affiliated with the Institute of Systems Research (ISR) in the same university.
Dr. Wu's research interests include information security and forensics, and multimedia signal processing and communications. She has published one book "Multimedia Data Hiding" (Springer-Verlag, 2003) and about 65 refereed journal and conference publications. She holds four U.S. patents on media security. Dr. Wu is a member of the IEEE Technical Committee on Multimedia Signal Processing and on Multimedia Systems and Applications. She has served as publicity chair for 2003 IEEE International Conference on Multimedia and Expo (ICME'03), finance chair for 2007 IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP'07), and in the technical program committees of several international conferences on multimedia, signal processing, communications, and information security. She also co-edited a Special Issue on Multimedia Security and Rights Management for EURASIP Journal of Applied signal Processing in 2004.
Dr. Wu received an NSF CAREER award on information security and protection in 2002, and a George Corcoran Education Award from University of Maryland in 2003, a 2004 Best Paper Award from the EURASIP Journal of Applied Signal Processing, and a Young Investigator award on multimedia security and forensics from U.S. Office of Naval Research in 2005. In 2004, she was selected by the MIT Technology Review Magazine as one of the 100 top young innovators whose contribution to emerging technologies will profoundly influence the world.
Honors and awards
Institute of Electrical and Electronics Engineers, 2010
American Association for the Advancement of Science, 2017
National Academy of Inventors, 2019
Young faculty awards
ONR Young Investigator for "Digital Fingerprinting for Multimedia Security and Forensics," 2005
NSF CAREER for "Signal Processing Approaches for Multimedia Security and Information Protection," 2001
Harriett B. Rigas Award from the IEEE Education Society, 2019
Maryland Innovator of the Year Award, 2012
IEEE Signal Processing Society Best Paper Award, 2005
Technology Review's top 100 young innovators in the world, 2004
EURASIP Journal on Applied Signal Processing Best Paper Award, 2004
University of Maryland awards
Invention of the Year Award for "Verifying the Source of Video Streams using Electric Network Frequency (ENF) Signals," 2015
University of Maryland Distinguished Scholar-Teacher Award, 2013
Invention of the Year Award for "Environmental Signatures for Forensic Analysis and Alignment of Media Recordings," 2012
E. Robert Kent Outstanding Teaching Award for Junior Faculty, 2009
George Corcoran Education Award, 2003
Information security and forensics, multimedia signal processing, multimedia communications.
- When was a video captured? Where? Was the sound track captured together with the visual? Or added on later? Check out our latest work addressing these issues using environmental fingerprint from power grid:
- R. Garg, A.L. Varna and M. Wu, " 'Seeing' ENF: Natural Time Stamp for Digital Video via Optical Sensing and Signal Processing," ACM Multimedia 2011, Best Student Paper Award. [17% acceptance]
- W-H. Chuang, R. Garg, and M. Wu, "How Secure are Power Network Signature Based Time Stamps?” ACM CCS, Oct. 2012. [19% acceptance]
- R. Garg, A. Hajj-Ahmad and M. Wu, “Geo-Location Estimation from Electrical Network Frequency Signals,” IEEE ICASSP, to appear May 2013.
Institute of Electrical and Electronics Engineers (IEEE)
- Fellow, 2010
American Association for the Advancement of Science (AAAS)
- Fellow, 2017