Spring ’18 Joint CSC@USC/CommNetS-MHI Seminar Series
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John Baras,
University of Maryland
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Abstract
We describe recent results on foundational aspects of modeling, architecture and performance of networked cyber-physical systems. These include: multi-layer multigraph models, constrained coalitional games, analysis of trust and mistrust in collaboration, dynamics of signed graphs, distributed consensus with adversaries, new concepts of value of information and event-driven inference and decision making, and non-commutative probability models. We conclude with directions for future research.
Biosketch
John Baras is with the University of Maryland College Park, where he holds he endowed Lockheed Martin Chair in Systems Engineering. He received the Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens, Greece, 1970; the M.S. and Ph.D. degrees in Applied Mathematics from Harvard University 1971, 1973. Since 1973, he has been a faculty member in the Electrical and Computer Engineering Department, and in the Applied Mathematics, Statistics and Scientific Computation Program, at the University of Maryland College Park. Founding Director of the Institute for Systems Research (ISR), 1985 to 1991. Since 1992, Founding Director of the Maryland Center for Hybrid Networks (HYNET). Since 2013, Guest Professor at the Royal Institute of Technology (KTH), Sweden. IEEE Life Fellow, SIAM Fellow, AAAS Fellow, NAI Fellow, IFAC Fellow, AIAA Associate Fellow, and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). Received the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2014 Tage Erlander Guest Professorship from the Swedish Research Council, and a three year (2014-2017) Senior Hans Fischer Fellowship from the Institute for Advanced Study of the Technical University of Munich, Germany. He was inducted in the A. J. Clark School of Engineering Innovation Hall of Fame (2016) of the University of Maryland and was awarded the 2017 IEEE Simon Ramo Medal, and the 2017 AACC Richard E. Bellman Control Heritage Award. His research interests include systems and control, optimization, communication networks, signal processing and understanding, robotics, computing systems, network security and trust, systems biology, healthcare management systems, and model-based systems engineering.