Speaker: Professor Jacek Mańdziuk
Title: Artificial Intelligence and Game Theory for Public Safety and Social Good
Time: 10:00am, September 21th, 2023 (Tuesday)
Location: 254 Arts and Science Building
Abstract:
Security Games (SGs) is a rapidly growing research field devoted to modeling security threats to public safety and social good, such as international terrorism, smuggling of weapons or drugs, massive poaching or logging, etc., in the form of games played between security forces and organized criminals. The talk will begin with an introduction to SGs, then I will briefly present the mainstream solution method that relies on Mixed Integer-Linear Programing (MILP) as well as several approximate approaches developed by our research group at the Warsaw University of Technology. The last part of the talk will cover a case study – poaching prevention in one of the national parks in Africa based on the data provided by the researchers from Harvard University as part of our collaborative research.
Personal Introduction:
Prof. Jacek Mańdziuk, Ph.D., D.Sc., received M.Sc. (Honors) and Ph.D. in Applied Mathematics from the Warsaw University of Technology (WUT), Poland in 1989 and 1993, resp., and D.Sc. degree in Computer Science from the Polish Academy of Sciences in 2000. In 2011 he was awarded the title of Professor Titular. He is a full professor at the Faculty of Mathematics and Information Science, WUT, Head of Division of Artificial Intelligence and Computational Methods, and Head of Doctoral Program in Computer Science at this faculty. He is the author of 3 books and around 200 research papers. He was General Co-Chair of the 2021 IEEE Congress on Evolutionary Computation, Krakow, Poland, and Chair of the annual IEEE SSCI Symposium on Computational Intelligence for Human-like Intelligence 2013-2023. Prof. Mańdziuk was a recipient of the Fulbright Senior Research Award (UC Berkeley and ICSI Berkeley, USA) and the Robert Schuman Foundation Fellowship (CNRS, Besancon, France). Recently, he was a visiting professor at Nanyang Technological University in Singapore (2015-2017), University of New South Wales (Australia, 2013), Yonsei University (South Korea, 2011) and University of Alberta (Canada, 2011). He is Senior Member of IEEE and Founding Chair of the IEEE ETTC Task Force on Toward Human-like Intelligence. He serves/served as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Computational Intelligence and AI in games, and the ACM Computing Surveys. His research interests include application of Computational Intelligence and Artificial Intelligence methods to games, dynamic and bilevel optimization problems, and human-machine cooperation in problem solving. He is also interested in the development of general-purpose human-like learning and problem-solving methods. For more information please visit http://www.mini.pw.edu.pl/~mandziuk
[Editor: Tong Gao]