Biography: Weibing Li is currently an Associate Professor with the School of Computer Science and Engineering, Sun Yat-sen University. He received the Ph.D. degree in mechanical engineering from the University of Leeds, Leeds, U.K., in 2018. From 2018 to 2020, he was a Post-Doctoral Fellow with the Chow Yuk Ho Technology Centre for Innovative Medicine, The Chinese University of Hong Kong, Hong Kong. His research interests include medical robotics, industrial robotics, modular robotics, neural networks, and cybernetics. His works have been published in top journals and conferences in robotics and AI, such as the IEEE Transactions journals, IEEE RA-L, ICRA, and IROS. He is a Review Editor for Computational Intelligence in Robotics (specialty section of Frontiers in Robotics and AI).
Biography: Huiyuan Shi received the Ph.D. degree in Control Theory and Control Engineering from Northwestern Polytechnical University, Xi’an, China, in 2020. Currently, he holds a postdoctoral position with the State Key Laboratory of Integrated Automation for Process Industries, Northeastern University. He serves as an associate professor with the School of Information and Control Engineering, Liaoning Petrochemical University. He is a member of the Process Instrumentation and Control Committee of the Chemical Society of Liaoning and is also a member of the Technical Committee of the International Conference on Control and Robotics (ICCR) and the China Petrochemical Megaproject Instrumentation and Control Technology Summit Forum (CPIF). He has published over 70 international journal papers and conference papers, and gained over 10 national patents in China. Since 2013 to date, he has hosted and participated in over 10 research grants from the National Science and Technology Support Program, the National Science Foundation of China, the Natural Science Foundation of Liaoning Province, key laboratories, and so on. He won the third Prize of the Science and Technology Progress Award of the Liaoning Province, the Outstanding Project Prize of the Golden Bridge Award, and the Innovation Achievement Excellence Prize in Industry-University-Research Collaboration. His research interests include advanced process control, model predictive control, data-based control, robust predictive control, and switching control.
Biography: Xing-Fang Fu have received his Ph.D. degree in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2006. He has been engaged in education and teaching for many years, and is now working full-time at Guangdong University of Science and Technology. His main research areas are intelligent logistics and supply chain management, system optimization methods. He has published 2 books and more than 40. He is the author and co-author of 3 books and over 40 papers.
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