报告人：Jacek Mandziuk 教授
工作单位：华沙理工大学（波兰）
报告题目：公共安全与社会公益的人工智能与博弈论
报告时间：2023年9月21日（周四）10:00
报告地点：文理楼254
内容摘要：
安全博弈(SGs)是一个快速发展的研究领域，该博弈致力于对公共安全和社会利益的安全威胁进行建模，如国际恐怖主义，走私武器或毒品，大规模偷猎或伐木等，以安全部队和有组织犯罪分子之间的博弈形式进行。本次报告将以介绍SGs开始，然后简要介绍依赖于混合整数线性规划(MILP)的主流解决方法以及我们在华沙理工大学的研究小组开发的几种近似方法。报告的最后部分将涉及一个案例研究——一个非洲国家公园的偷猎预防，该研究基于哈佛大学的研究人员提供的数据，这是我们合作研究的一部分。
个人简介：
Jacek Mandziuk教授，博士，理学博士，分别于1989年、1993年以及2000年获得波兰华沙理工大学（WUT）应用数学（荣誉）硕士学位、博士学位以及波兰科学院计算机科学博士学位。2011年，Jacek Mandziuk教授被授予正级教授的称号，目前担任数学和信息科学学院的正教授，人工智能和计算方法系主任以及计算机科学博士课程主任。Jacek Mandziuk教授现已发表3部专著和180+篇研究论文，曾担任2021年在波兰克拉科夫举行的IEEE进化计算大会的总联合主席以及2013-2022年IEEE SSCI人类计算智能年度研讨会主席。Jacek Mandziuk教授是富布赖特高级研究奖（加州大学伯克利分校和美国ICSI伯克利分校）和罗伯特·舒曼基金会奖学金（CNRS，贝桑松，法国）的获得者，曾担任新加坡南阳科技大学（2015-2017年）、新南威尔士大学（澳大利亚，2013年）、延世大学（韩国，2011年）和阿尔伯塔大学（加拿大，2011年）的客座教授。Jacek Mandziuk教授目前是IEEE的高级会员和IEEE ETTC人类智能任务组的创始主席，曾担任《IEEE Transactions on Neural Networks and Learning Systems》《IEEE Transactions on Computational Intelligence and AI in games》以及《ACM Computing Surveys》的副编辑。Jacek Mandziuk教授目前的研究方向包括计算智能和人工智能方法在游戏中的应用，动态和双层优化问题，问题求解过程中的人机合作，以及开发通用的人类学习和解决问题的方法。想要了解更多信息，请访问http://www.mini.pw.edu.pl/~mandziuk
【编辑：高彤】
Academic Report Notice of Jacek Mańdziuk: Artificial Intelligence and Game Theory for Public Safety and Social Good
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]