Invited Speakers
Prof. Guanghui Wen, Southeast University, China
Biography: Guanghui Wen received the Ph.D. degree in mechanical systems and control from Peking University, Beijing, China, in 2012.,He is currently a Professor with the Department of Systems Science, Southeast University, Nanjing, China. His current research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning.,Prof. Wen was awarded the National Natural Science Fund for Excellent Young Scholars in 2017 and the Chang Jiang Scholars Programme of China for Young Scholars in 2020. He was a recipient of the Australian Research Council Discovery Early Career Researcher Award in 2018 and the Asia–Pacific Neural Network Society Young Researcher Award in 2019. He has been the Highly Cited Researcher named by Clarivate Analytics since 2018. He is a reviewer for the American Mathematical Review and is an active reviewer for many journals. He currently serves as an Associate Editor for the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Vehicles, IEEE Journal of Emerging and Selected Topics in Industrial Electronics, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Open Journal of the Industrial Electronics Society, and Asian Journal of Control. He is an IET Fellow.
Prof. Huaicheng Yan, East China University of Science and Technology, China
Biography: Prof. Huaicheng Yan received his B.Sc. degree in automatic control from Wuhan University of Technology, China, in 2001, and the Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology, China, in 2007. From 2007 to 2009, he was a Postdoctoral Fellow with the Chinese University of Hong Kong. Currently, he is a Professor with the School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. He has published more than 200 SCI-indexed papers, including more than 130 papers published in top journal of Automatica and IEEE Transactions journals. He is the Highly Cited Researcher of Clarivate from 2019 to 2022. He is an associate editor for IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robotics and Automation and IEEE Open Journal of Circuits and Systems, etc. His research interests include networked control systems, multi-agent systems and robotics.
Prof. Jun Zhao, Dalian University of Technology, China
Biography: Jun Zhao, Received his Ph.D. degree in the School of Control Science and Engineering, Dalian University of Technology (DUT), China, in 2008. He is now the full professor since the end of 2015 at DUT.
He is now the deputy director with the Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education (MOE), China. He has authored 100+ technical publications in refereed journals and conference proceedings, and been authorized 30+ invention patents. He served as associate editors for some top tier journals including IEEE TNNLS, Control Engineering Practice, Information Sciences, etc. He became a technical committee member (TC6.2) of IFAC MMM society in 2015, and the steering committee member of Asian Control Association (ACA) in 2019. He obtained the Gold Award at the Geneva International Invention Exhibition in 2022, obtained the First Class Prizes of Sci-Tech Progress Award of CAA (Chinese Automation Association) in 2018, and is now the scientist-in-chief of a National Key R&D Program of China. He was the recipients of National Distinguished Young Scholar Funding of China, Yangtze River Young Scholar of China. He is also the recipients of the Best Application Paper Award of WCICA2014, the Best Paper Award of IFAC Workshop on MMM2018, and the Zhang Zhongjun Best Paper Awards of CPCC 2016 and CPCC2021.
Prof. Youqing Wang, Beijing University of Chemical Technology, China
Biography: Youqing Wang received the B.S. degree in Mathematics from Shandong University, Jinan, Shandong, China, in 2003, and PhD degree in Control Science and Engineering from Tsinghua University, Beijing, China, in 2008. He worked chronologically at Hong Kong University of Science and Technology, Hong Kong, China; University of California, Santa Barbara, USA; University of Alberta, Edmonton, Canada; Shandong University of Science and Technology, Qingdao, China; City University of Hong Kong, Hong Kong, China. He is currently a professor and the dean of College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. His research interests include fault-tolerant control, state monitoring, iterative learning control, and their applications on chemical processes. Dr. Wang was a recipient of several research awards, including The National Science Fund for Distinguished Young Scholars, IET Fellow, Journal of Process Control Survey Paper Prize, and ADCHEM2015 Young Author Prize.
Prof. Yuanqing Xia, Beijing Institute of Technology, China
Biography: Yuanqing Xia was born in Anhui Province, China in 1971. He received the Ph.D. degree in Control Theory and Control Engineering from Beijing University of Aeronautics and Astronautics, China, in 2001. He was a research fellow in several academic institutions during 2002 to 2008, including the Institute of System Science of China Science Academy, National University of Singapore, and University of Glamorgan, UK. From 2007 to 2008, he was a guest professor with Innsbruck Medical University (Austria). Since 2004, he has been with School of Automation, Beijing Institute of Technology, Beijing, China, where he is currently a Professor, as well as the Dean of the School of Automation, BIT.
He was granted by the National Outstanding Youth Foundation of China in 2012, and was honored as the Yangtze River Scholar Distinguished Professor in 2016 and the Leading Talent of the Chinese Ten Thousand Talents Program. He has published sixteen monographs in Springer, John Wiley, and CRC, and more than 400 papers in international scientific journals. He has been a highly cited scholar since 2014 by Elsevier. He is a deputy editor of the Journal of Beijing Institute of Technology and an associate editor of a number of journals, including Acta Automatica Sinica, Control Theory and Applications. He is currently the director of specialized committee on cloud control and decision of Chinese Institute of Command and Control, a member of the 8th Disciplinary Review Group of the Academic Degrees Committee of the State Council, a member of the Big Data Expert Committee of the Chinese Computer Society, and the vice chairman of the Internet of Things Working Committee of the Chinese Institute of Instrumentation. He obtained the Second Award of the Beijing Municipal Science and Technology (No. 1) in 2010 and 2015, the Second National Award for Science and Technology (No. 2) in 2011, and the Second Natural Science Award of the Ministry of Education (No. 1) in 2012 and 2017. More than five of his students have obtained the excellent doctoral thesis awards from the Chinese Association of Automation or Chinese Institute of Command and Control. His research interests include cloud control systems, networked control systems, robust control and signal processing, active disturbance rejection control, unmanned system control and flight control.
Prof. Zhigang Zeng, Huazhong University of Science and Technology, China
Biography: Zhigang Zeng is a Professor and the Dean of School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China. He has over 20 years of experience in teaching and research of system synthesis and analysis, and was awarded by the IEEE Fellow Membership Grade for contributions to analysis and synthesis of neurodynamic systems. His current research interests include theory of functional differential equations and differential equations with discontinuous right-hand sides, and their applications to dynamics of neural networks, memristive systems, and control systems. He has authored or co-authored over 200 scientific papers published in leading journals. He is also a Highly Cited Researcher in Computer Science listed by Clarivate Analytics. He is an Associate Editor of IEEE Transactions on Cybernetics, an Associate Editor of IEEE Transactions on Fuzzy Systems, and a member of the Editorial Board of Neural Networks, Cognitive Computation, and Applied Soft Computing. He has been the General Chair, Program Committee Chair, Publications Chair, and Workshop and Special Sessions Chair for over 40 international conferences.
Assoc. Prof. Hongtian Chen, Shanghai Jiao Tong University, China
Biography: Hongtian Chen received his Ph.D. degree in College of Automation Engineering from Nanjing University of Aeronautics and Astronautics, China, in 2019. He was a Post-Doctoral Fellow at the University of Alberta, Canada, from 2019 to 2023.
Dr. Chen joined Shanghai Jiao Tong University, China in 2023 as an Associate Professor in the Department of Automation. His research interests include fault diagnosis and fault-tolerant control, data mining and analytics, machine learning, and cooperative control; and their applications in high-speed trains, new energy systems, industrial processes, and autonomous systems.
Dr. Chen was a recipient of the Grand Prize of Innovation Award of Ministry of Industry and Information Technology of the People's Republic of China in 2019, the Excellent Ph.D. Thesis Award of Jiangsu Province in 2020, the Excellent Doctoral Dissertation Award from Chinese Association of Automation (CAA) in 2020, and Marie Skłodowska-Curie Actions in 2023.