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Matthew Stamm

Assistant Professor

Matthew Stamm
Office: Bossone 413g
Phone: 215-895-5894
Email: MStamm@coe.drexel.edu
Personal site:
misl.ece.drexel.edu
ece.drexel.edu/stamm

Degrees:

B.S., University of Maryland, College Park
M.S., University of Maryland, College Park
Ph.D., University of Maryland, College Park (2012)

Research Interests

Information Security; Multimedia Forensics; Machine Learning; Signal Processing; Anti-Forensics; Adversarial Dynamics; Image and Video Processing

Bio

Dr. Matthew C. Stamm is an Assistant Professor in the Department of Electrical and Computer Engineering at Drexel University, which he joined in the Fall of 2013. He leads the Multimedia and Information Security Lab (MISL) where he and his team conduct research on signal processing, machine learning, and information security.

Dr. Stamm's research focuses on an emerging area of information security known as information forensics, which involves developing techniques to detect multimedia forgeries such as falsified images and videos. Additionally, he develops and studies anti-forensic countermeasures that an information attacker can use to disguise their forgeries. His research has been funded by the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), the Army Research Office (ARO), and the Defense Forensics and Biometrics Agency (DFBA).

Dr. Stamm is the the recipient of a 2016 National Science Foundation CAREER Award and the 2017 Drexel University College of Engineering Outstanding Early-Career Research Achievement Award. He was the General Chair of the 2017 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec) and is the lead organizer of the IEEE Signal Processing Society’s 2018 Signal Processing Cup competition. He serves as an elected member of the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society, as a member of the Editorial Board of SigPort (the IEEE Signal Processing Society’s online repository of manuscripts, technical white papers, databases, and supporting materials), and regularly serves as a reviewer or technical program committee member of several major journals and conferences in signal processing and multimedia security.

Dr. Stamm earned his B.S., M.S., and Ph.D. degrees from the University of Maryland, College Park. For his dissertation research, Dr. Stamm was named the first place winner of the Dean's Doctoral Research Award from the A. James Clark School of Engineering. While at the University of Maryland, he was also the recipient of the Ann G. Wylie Dissertation Fellowship and a Clark School of Engineering Future Faculty Fellowship, and a Distinguished Teaching Assistant Award. Prior to beginning his graduate studies, he worked as an engineer at the Johns Hopkins University Applied Physics Lab.