Prof Ming Cao of University of Groningen

Talk Abstract: Evolutionary dynamics in large populations of decision-making autonomous agents have become a powerful model to study complex interactions in natural, social, economic and engineering systems. In this talk I focus on showing how evolutionary game theoretic models can be studied using systems and control theory. We look into how feedback actions can be incorporated and demonstrate that the closed-loop population dynamics may exhibit drastically different collective outcomes.

Biography:

Bio: Ming Cao (S’02–M’08–SM’16) received the bachelor's and the master's degrees from Tsinghua University, Beijing, China, in 1999 and 2002, respectively, and the Ph.D. degree in 2007 from Yale University, New Haven, CT, USA, all in electrical engineering.,He worked as a Research Intern in 2006 with the Mathematical Sciences Department at the IBM T. J. Watson Research Center, USA. From 2007 to 2008, he was a Postdoctoral Research Associate with the Department of Mechanical and Aerospace Engineering at Princeton University, Princeton, NJ, USA. He is currently a Professor of Systems and Control with the Engineering and Technology Institute (ENTEG) at the University of Groningen, Groningen, The Netherlands, where he started as an Assistant Professor in 2008. His research interests include autonomous agents and multiagent systems, decision-making dynamics, and complex networks.

Dr. Cao was the recipient of the 2016 recipient of the European Control Award sponsored by the European Control Association (EUCA), and the 2017 and inaugural recipient of the Manfred Thoma medal from the International Federation of Automatic Control (IFAC). He is a Senior Editor for Systems and Control Letters, an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Circuits and Systems, and IEEE Circuits and Systems Magazine

Email:

Address:Netherlands