| 演讲者 | Meikang Qiu | | 头衔职位 | Professor，Columbia University, USA
Chair of IEEE Smart Computing STC
| | 时间 | 2019 年 12 月 26 日（周四）下午 4-5 点 | | 地点 | 复旦大学逸夫楼 407 室 | | 联系人 | 吕智慧, lzh@fudan.edu.cn |
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演讲简介
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 area. 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 about 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.
关于讲者
Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, he is a adjunct professor at Columbia University. He is an IEEE Senior member and ACM Distinguished member. He is the Chair of IEEE Smart Computing Technical Committee. His research interests include Cyber Security, Big Data Analysis, Cloud Computing, Smarting Computing, Intelligent Data, Embedded systems, etc. A lot of novel results have been produced and most of them have already been reported to research community through high-quality journal and conference papers. He has published 4 books, 500 peer-reviewed journal and conference papers (including 240+ journal articles, 260+ conference papers, 80+ IEEE/ACM Transactions papers). His paper published in IEEE Transactions on Computers about privacy protection for smart phones has been selected as a Highly Cited Paper in 2017. His paper about embedded system security published in Journal of Computer and System Science (Elsevier) have been recognized as Highly Cited Papers in both 2016 and 2017. His paper about data allocation for hybrid memory has been published in IEEE Transactions on Computers has been selected as hot paper (1 in 1000 papers) in 2017. 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. Currently he is an associate editor of 10+ international journals, including IEEE Transactions on Computers and IEEE Transactions on Cloud Computing. He has served as leading guest editor for IEEE Transactions on Dependable and Secure Computing (TDSC), special issue on Social Network Security. He is the General Chair/Program Chair of a dozen of IEEE/ACM international conferences, such as IEEE TrustCom, IEEE BigDataSecurity, IEEE CSCloud, and IEEE HPCC. He has won Navy Summer Faculty Award in 2012 and Air Force Summer Faculty Award in 2009. His research is supported by US government such as NSF, NSA, Air Force, Navy and companies such as GE, Nokia, TCL, and Cavium.
