Associate Dean for Graduate Programs
The Institute for Systems Research
Maryland Robotics Center
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, College Park. She is serving as Associate Dean for Graduate Affairs at the A. James Clark School of Engineering and affiliated with the Institute of Systems Research (ISR).
At UMD, Dr. Wu leads the Media, Analytics, and Security Team (MAST), with main research interests in information security and forensics, multimedia signal processing, and applications of data science and machine learning for health and IoT. She was elected as IEEE Fellow, AAAS Fellow, and Fellow of the National Academy of Inventors. She was a founding member of APSIPA and elected to serve on its Board of Governors. She chaired the IEEE Technical Committee on Information Forensics and Security, and served as Editor-in-Chief of the IEEE Signal Processing Magazine. Currently, she is President-Elect (2022-2023) of the IEEE Signal Processing Society.
Honors and awards
National Academy of Inventors, 2019
American Association for the Advancement of Science, 2017
Institute of Electrical and Electronics Engineers, 2010
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
Other awards and recognitions
2022-2023 President-Elect of the IEEE Signal Processing Society (IEEE SPS). SPS President (2024-2025)
IEEE Harriett B. Rigas Award, the IEEE Education Society, 2019
Maryland Innovator of the Year Award, 2012
IEEE Signal Processing Society Best Paper Award, 2005
MIT Technology Review's top 100 young innovators in the world (TR100), 2004
EURASIP Journal on Applied Signal Processing Best Paper Award, 2004
University of Maryland awards
Outstanding Research Award for Senior Faculty, Clark School of Engineering, 2021
Meritorious Service Award, IEEE Signal Processing Society, 2015.
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
National Academy of Inventors
- Fellow, 2019