6月28日:Meikang QIU
发布时间:2023-06-25

报告题目: AI Enhanced Cyber Security

报告时间:6月28日  09:00-10:00

线下报告地点:数学馆201

主持人:陈闻杰 副教授


报告摘要:

This talk will first illustrate how to use AI techniques to enhance cyber security of various systems. There are several ways to apply AI to cyber security areas. This talk will use prediction-based AI technics to enhance the total security of the V2X (Vehicle-to-Everything) communication system. The talk takes serious considerations of latency while implementation the data encryption for V2X communication systems. Furthermore, the talk will discuss deep reinforcement learning to protect the security of V2X system without scarifying safety of the vehicles. Examples and experimental results will be given to show the detailed techniques on applying AI techniques to enhance cyber security of vehicles, with the potential of implementing them to various cyber-physical systems.


报告人简介:

Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received a Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, He is a full professor and director of AI enhanced Cyber Security Lab of Dakota State University. He is an ACM Distinguished Member. He is also the Highly Cited Researcher in 2021 from Web of Science and IEEE Distinguished Visitor in 2021-2023. He is the Chair of IEEE Smart Computing Technical Committee.  Till now his Google scholar citation is 21300+ and H-index 99. He is ranked among the top 1000 computer scientists in the world. Meikang has published 20+ books, 600+ peer-reviewed journal and conference papers, including ICML, IJCAI, ACM CCS and 100+ IEEE/ACM Transactions papers. His research interests include Cyber Security, Big Data Analysis, Cloud Computing, Smarting Computing, Intelligent Data,  etc. His paper on Tele-health system has won IEEE System Journal 2018 Best Paper Award. He also won ACM Transactions on Design Automation of Electrical Systems (TODAES) 2011 Best Paper Award. He has won another 10+ Conference Best Paper Awards in recent years. He is/was an Associate Editor of 10+ international journals, including IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, IEEE Transactions on Big Data, and IEEE Transactions on SMC. He is the General Chair of the top conference: IEEE international conference on Data Mining (ICDM) 2023.



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