Keynote Speakers

 

Prof. Min Wu, University of Maryland, College Park, MD, USA

Exploiting Micro-Signals for Physiological Forensics

Abstract: A variety of nearly invisible “micro-signals” have played important roles in media security and forensics. These noise like micro-signals are ubiquitous and typically an order of magnitude lower in strength or scale than the dominant ones, although they are traditionally removed or ignored as nuances outside the forensic domain.
In this talk, I will discuss the recent research harnessing micro-signals for wellness and healthcare. One type of such signals is the subtle changes in facial skin color in accordance with the heartbeat. Video analysis of this repeating change provides a contact-free way to capture photoplethysmogram (PPG).  While heart rate can be tracked from videos of resting cases, it is challenging to do so for cases involving motion, such as when a person is walking around, running on a treadmill, or driving on a bumpy road.  I will show in this talk how the expertise with micro-signals has enabled our research group to explore the new opportunities in physiological forensics and a broad range of applications.

Biography: Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park.  She is currently serving as Associate Dean for Graduate Affairs for the University’s Clark School of Engineering.  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, multimedia signal processing, and application of data science and machine learning.  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, an IEEE Harriett B. Rigas Education Award, an IEEE Distinguished Lecturer recognition, and several paper awards from IEEE SPS, ACM, and EURASIP. She was elected as IEEE Fellow, AAAS Fellow, and Fellow of the National Academy of Inventors for contributions to multimedia security and forensics. Dr.  Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013), and has 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).

 

Prof. Christopher Kiekintveld, University of Texas at El Paso, TX, USA

Game-Theoretic Perspectives and Algorithms for Cybersecurity

Abstract: Information plays a key role in many games, and game theory includes reasoning about how agents should perceive signals, and how they should strategically decide what signals to send.  This can involve complex tradeoffs about how revealing certain information will affect the beliefs and actions of other players. I will overview some basic approaches for modeling information in game theory, such as signaling games, and applications to games such as Poker. The second part of the talk with focus on our work applying game theoretic models and algorithms in cybersecurity. I will discuss how we apply game theory to optimize strategies for deception in cybersecurity, including honeypots, honey traffic, and other deceptive objects.  I will also cover work that considers dynamic deception using sequential models that capture uncertainty. Finally, I will discuss some recent work in adversarial learning and connections between this area and game theory.

Biography: Christopher Kiekintveld is an associate professor at the University of Texas at El Paso (UTEP). His research is in the area of intelligent systems, focusing on multi-agent systems and computational decision making. He is also interested in applications of artificial intelligence to security, trading agents, and other areas with the potential to benefit society. He received his Ph.D in 2008 from the University of Michigan for thesis work on strategic reasoning, including applications in designing a champion trading agent for the TAC SCM competition. He has worked on several deployed applications of game theory for security, including systems in use by the Federal Air Marshals Service and Transportation Security Administration. He has authored more than 80 papers in peer-reviewed conferences and journals (e.g., AAMAS, IJCAI, AAAI, JAIR, JAAMAS, ECRA). He has received several best paper awards, the David Rist Prize, and an NSF CAREER award.