ICDPR 2023 Speaker

Prof. Ning Xi
(Keynote Speaker)
IEEE Fellow

The University of Hong Kong, HKSAR, China


Speech Title: Compressive Feedback Control for Robots


Brief Biography: Ning Xi received his D.Sc. degree in Systems Science and Mathematics from Washington University in St. Louis, Missouri, USA in December 1993. He is the Chair Professor of Robotics and Automation in the Faculty of Engineering and the Director of the Emerging Technologies Institute at the University of Hong Kong. Before he joined the University of Hong Kong in 2016, he was University Distinguished Professor, the John D. Ryder Professor of Electrical and Computer Engineering and the Director of Robotics and Automation Laboratory at Michigan State University. Dr. Xi received the Best Paper Award in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) in August, 1995, and the Best Paper Award in the 1998 Japan-USA Symposium on Flexible Automation. Dr. Xi was awarded the first Early Academic Career Award by the IEEE Robotics and Automation Society in May, 1999. He also received The Best Paper Award of IEEE Transactions on Automation Science and Engineering in 2007. Dr. Xi was awarded SPIE Nano Engineering Award in 2007. In addition, he is a recipient of US National Science Foundation CAREER Award. Dr. Xi is a fellow of IEEE.

Personal webpage: https://www.imse.hku.hk/people/n-xi

Prof. Yongduan Song
(Keynote Speaker)
IEEE Fellow, IEAS Academician

Chongqing University,China


Speech Title: Neuroadaptive PID Control with Application to Unmanned Systems


Brief Biography: YONGDUAN SONG is currently the Dean of the School of Automation, Chongqing University, the Dean of the Artificial Intelligence Research Institute of Chongqing University, an IEEE Fellow, an Academician of the International Eurasian Academy of Sciences. He is a Registered Professional Engineer (USA). He has published 12 monographs and 300 papers. He also holds more than 60 patents. He served/has been serving as Associate Editor for several internationally renowned academic journals, including IEEE Trans. On Automatic Control, IEEE Trans. on Intelligent Transportation Systems, etc. He is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems. His current research interests include advanced control theory, artificial intelligence and the related applications.

Personal webpage: http://accu.cqu.edu.cn/info/1057/3664.htm


Prof. Qianchuan Zhao
(Keynote Speaker)

Tsinghua University,China


Speech Title: Online Trajectory Planning for the Planetary Powered-Descent Guidance under uncertain environments


Brief Biography: Prof.Qianchuan Zhao received the B.E. degree in automatic control in July 1992, the B.S. degree in applied mathematics in July 1992, and MS and Ph.D. degrees in control theory and its applications in July 1996, all from Tsinghua University, Beijing, China. He is currently a Professor and Director of the Center for Intelligent and Networked Systems (CFINS) Department of Automation, Tsinghua University. His current research focuses on the modeling, control and optimization of complex networked systems under uncertain environment. Dr. Zhao is an editor for the IEEE Transactions on Automation Science and Engineering and Editor-in-Chief of the journal Results in Control and Optimizaiton. He was awarded The National Science Fund for Distinguished Young Scholars of China in 2014.

Personal webpage: http://cfins.au.tsinghua.edu.cn/personalhg/zhaoqc/index.html


Prof. Dongbin Zhao
(Keynote Speaker)
IEEE Fellow

Chinese Academy of Sciences, China


Speech Title: Deep Reinforcement Learning for Virtual Games and Real Robots


Brief Biography: Dongbin Zhao is a professor with the Institute of Automation, Chinese Academy of Sciences, and the University of Chinese Academy of Sciences, China. Dr. Zhao serves as the Associate Editor of IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Computational Intelligence Magazine (CIM), etc. He is the Chair of Strategic Planning Committee of IEEE Computational Intelligence Society. He is involved in organizing many international conferences, including General Chair of IEEE Conference on Games 2022. He has published 6 books, and over 300 international journal and conference papers, including Outstanding Paper Rewards of 2020 IEEE TCDS, 2022 IEEE TETCI, etc. His group has gained over 10 First Prizes in Competition Challenges, including 3 Championships of 2020 RoboMaster AI Challenge, the Championship for Fighting AI Competition of 2020 IEEE Conference on Games, etc. His current research interests lie in deep reinforcement learning, computational intelligence, smart driving, game artificial intelligence, robotics, etc. He is an IEEE Fellow.

Personal webpage: https://people.ucas.ac.cn/~zhaodongbin