Prof. Wei He

University of Science and Technology Beijing, China

Biography: Professor Wei He received his B.Eng. and his M.Eng. degrees from College of Automation Science and Engineering, South China University of Technology (SCUT), China, in 2006 and 2008, respectively, and his PhD degree from Department of Electrical Computer Engineering, the National University of Singapore (NUS), Singapore, in 2011. He is currently working as a full professor in Institute of Artificial Intelligence and School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. He has co-authored 3 books published in Springer and published over 100 international journal and papers. He is serving as an Associate Editor of IIEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Control Systems Technology, SCIENCE CHINA Information Sciences, IEEE/CAA Journal of Automatica Sinica. His current research interests include robotics, distributed parameter systems and intelligent control systems.


Prof. Hongyi Li

Guangdong University of Technology, China

Biography: Hongyi Li (SM’17) received the Ph.D. degree in intelligent control from the University of Portsmouth, Portsmouth, U.K., in 2012. He was a Research Associate with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong and Hong Kong Polytechnic University, Hong Kong. He was a Visiting Principal Fellow with the Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia. He is currently a professor with the Guangdong University of Technology, Guangdong, China. His research interests include intelligent control, cooperative control, sliding mode control and their applications.
He was a recipient of the 2016 and 2019 Andrew P. Sage Best Transactions Paper Awards from IEEE System, Man, Cybernetics Society, the Best Paper Award in Theory from ICCSS 2017 and the Zadeh Best Student Paper from IEEE ICCSS 2019, respectively. He has been in the editorial board of several international journals, including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Cognitive and Developmental Systems, SCIENCE CHINA Information Sciences, IEEE/CAA Journal of Automatica Sinica, Neural Networks, Asian Journal of Control, Circuits, Systems and Signal Processing, and International Journal of Control, Automation and Systems. He has been Guest Editors of IEEE Transactions on Cybernetics and IET Control Theory and Applications. He is a member of the IFAC Technical Committee on Computational Intelligence in Control.


Prof. Tao Liu

Dalian University of Technology, China

Biography: Tao Liu received the PhD degree in control science and engineering from Shanghai Jiaotong University, Shanghai, China, in 2006. He had been a postdoctoral research fellow in the Department of Chemical and Biomolecular Engineering at Hong Kong University of Science and Technology from May 2006 to April 2010, and an Alexander von Humboldt research fellow in the Institute of Process Systems Engineering at RWTH Aachen University in Germany from May 2010 to June 2012. Since then, he has been a professor with the Institute of Advanced Control Technology at Dalian University of Technology in China. His research interests include industrial process identification & modeling, process measurement by infrared spectroscopy & imaging, control system design, batch process optimization, process monitoring. He published more than 150 research papers and two monographs. He serves as an associate editor of ISA Transactions, Systems Science and Control Engineering, an editorial board member of International Journal of Control, a member of the Technical Committee on Chemical Process Control of IFAC, Technical Committee on System Identification and Adaptive Control of the IEEE Control System Society, Technical Committees of Control Theory and Process Control of Chinese Association of Automation.


Prof. Zhigang Liu

Southwest Jiaotong University, China

Biography: Zhigang Liu (IET Fellow, Senior Member IEEE) received a Ph.D. degree in Power systems and its Automation from Southwest Jiaotong University, China in 2003. He is a Full Professor at the School of Electrical Engineering since 2006, Southwest Jiaotong University, Chengdu. He is also a Guest Professor at Tongji University, Shanghai. Dr. Liu is an Associate Editor-in-Chief of IEEE TIM, Associate Editor of IEEE TNNLS, IEEE TVT, and IEEE ACCESS. He received the IEEE TIM's Outstanding Associate Editors for 2019, 2020, and 2021. Dr. Liu is an Editorial board member of journals such as "ACTA AUTOMATICA SINICA", "Journal of Southwest Jiaotong University", etc. He won Second Prize in the National Science and Technology Progress Award, the Sichuan Youth Science and Technology Award, the Special Prize of the China Railway Society, Second Prize of the Science and Technology Progress Award of the Ministry of Education, First Prize of the Sichuan Higher Education Teaching Achievement, National Hundred Excellent Doctoral Dissertation Nominations, China Electric Power Excellent Technologist Award, Fok Yingdong Young, Fund Mao Yisheng Railway Science, and Technology Award, and the Zhan Tianyou Special Fund Award.



Prof. Zehui Mao

Nanjing University of Aeronautics and Astronautics

Biography: Zehui Mao received the Ph.D. degree in Control Theory and Control Engineering at Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009. She had ever been a Post-Doctoral Research Fellow and Visiting Scholar in Tsinghua University, Beijing, China and the University of Virginia, Virginia, USA, respectively. She is currently a Professor in College of Automation Engineering at Nanjing University of Aeronautics and Astronautics.
She has been the principle investigator on several projects of National Natural Science Foundation of China. She is the author of over 70 referred international journal papers and conference papers. She won Second Class Prize of National Natural Science Award of China in 2018 (No.4). Her research interests include fault diagnosis and fault-tolerant control and its application in flight control systems and high-speed rail traction systems.


Prof. Chaoxu Mu

Tianjin University, China

Speech Title: Reinforcement Learning for the cooperative problem of unmanned systems

Abstract: The rapid development of reinforcement learning and deep learning methods makes it possible for variable unmanned systems to improve efficiently their performance in challenging environments. This report will introduce the principles of reinforcement learning and deep reinforcement learning methods, analyze the key problems of multiple unmanned systems in cooperative control, and provide some ideas for unmanned systems cooperation with reinforcement learning.

Biography: Dr. Chaoxu Mu is a Professor with the School of Electrical and Information Engineering, Tianjin University, China. She has published over 80 peer-reviewed journal and conference papers, and jointly published 2 books with Springer and Chinese Science Press. All papers have been cited more than 3500 times. Since 2009 to date, she has hosted and participated over 10 research grants from National Science Foundation of China, the Ministry of Science and Technology of China, key laboratories, and so on. She has advised 20+ Ph. D students and master students, and many undergraduate students. She is the associate editors of ACTA AUTOMATICA SINICA and IEEE TNNLS, is also invited to peer-review for multiple journals. Dr. Mu regularly serves on the committees of IEEE, China Automation Society, Chinese Association for Artificial intelligence, and various international conferences.


Prof. Yongping Pan

Sun Yat-sen University, China

Biography: Dr. Yongping Pan is a Professor who leads the Robot Control and Learning Group at the Sun Yat-sen University, China. He holds the Ph.D. degree in control theory and control engineering from the South China University of Technology, China, and has long-term research experience in top universities worldwide. His research interests include automatic control and machine learning with applications to robotics, such as compliant actuation, interaction control, visual servoing, motion planning, and dexterous manipulation. Based on his research, Dr. Pan has authored or co-authored more than 130 peer-reviewed academic papers, including over 100 papers in refereed journals, where his publications have attracted over 5300 citations on the Google Scholar. He has been invited as an Associate Editor of several top-tier journals, such as IEEE-TCSE, IEEE-TASE, and IEEE-CAL, and as a speaker to deliver academic talks in top universities and conferences over 30 times worldwide. Dr. Pan has been recognized as a World’s Top 2% Scientist by Stanford University, a Global Highly Cited Researcher by Clarivate, and a Highly Cited Chinese Researcher by Elsevier.


Prof. Zhuo Wang

Beihang University, China

Biography: Zhuo Wang received the B.E. degree in Automation from Beihang University, Beijing, China, in 2006; and the Ph.D. degree in Electrical and Computer Engineering from University of Illinois at Chicago, Chicago, IL, USA, in 2013. He was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, University of Alberta, from 2013 to 2014; and then worked as a Research Assistant Professor with the Fok Ying Tung Graduate School, Hong Kong University of Science and Technology, from 2014 to 2015. Zhuo Wang was selected for the “12th Recruitment Program for Young Professionals” by the Organization Department of the CPC Central Committee, and the “100 Talents Program” by Beihang University, in 2015. As the Second Recipient, he won the First Prize of Natural Science in the Award for Outstanding Achievements in Scientific Research of Colleges and Universities (Science and Technology) by Ministry of Education of the People's Republic of China, in 2019. Then, he won the 7th Chinese Association of Automation Young Scientist Award, in 2021. Zhuo Wang joined Beihang University since January 2016, and he is currently a Professor and a Ph.D. Instructor with the Research Institute for Frontier Science, and with the Key Laboratory of Ministry of Industry and Information Technology on Quantum Sensing Technology, and with Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China; and also with Beihang Hangzhou Innovation Institute Yuhang, Hangzhou, China. Prof. Wang is currently a Vice Director of the 9th Chinese Association of Automation (CAA) Youth Work Committee; a Member of the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee of IEEE Computational Intelligence Society; and is also a Member of the Data Driven Control, Learning & Optimization Professional Committee of CAA. Besides, he is an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems; an Associate Editor of Control Theory & Applications; an Associate Editor of Acta Automatica Sinica; and is also an Associate Editor of Pattern Recognition and Artificial Intelligence. Prof. Wang's research interests include data-based system identification, modeling, analysis, learning and control; nonlinear system adaptive control; atomic spin ensembles system control; as well as state estimation and signal processing of complex high precision measurement instruments.

Prof. Bin Xu

Northwestern Polytechnical University, China

Biography: Dr Bin Xu is currently Professor with School of Automation, Northwestern Polytechnical University. He received the B.S. degree in measurement and control from Northwestern Polytechnical University, China, 2006 and the Ph.D. degree in Computer Science from Tsinghua University, China, 2012. He visited ETH Zurich from Mar 2010 to Mar 2011 and from Feb 2012 to Jan 2013 he was Research Fellow with Nanyang Technological University. From Jul 2012 to now, he has been with School of Automation, Northwestern Polytechnical University where now he is Professor. His research interests include computation intelligence, intelligent control, and adaptive control with application on flight dynamics. He serves as Editorial Board Member/Associate Editor of several international journals (including Journal of Intelligent & Robotic Systems, International Journal of Control, Automation, and Systems). He has been listed as Clarivate Highly Cited Researchers since 2019.


Prof. Lixian Zhang

Harbin Institute of Technology, China

Biography: Lixian Zhang received the Ph.D. degree in control science and engineering from Harbin Institute of Technology, Harbin, China, in 2006. From January 2007 to September 2008, he was a Postdoctoral Fellow in the Department Mechanical Engineering at the Ecole Polytechnique de Montreal, Canada. He was a Visiting Professor at the Process Systems Engineering Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, from February 2012 to March 2013. Since January 2009, he has been with Harbin Institute of Technology, where he is currently full professor and vice dean of School of Astronautics. His research interests include nondeterministic switched systems, model predictive control and their applications.
Prof. Zhang serves as Senior Editor for IEEE Control Systems Letters, and served as Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Cybernetics, etc. He was named to the list of Clarivate Highly Cited Researchers in 2014–2021. He is a Fellow of IEEE.

 

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