Keynote Speaker I
Prof. Qinglong Han, Swinburne University of Technology, Australia (IEEE Fellow)

Professor Han is Pro Vice-Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He held various academic and management positions at Griffith University and Central Queensland University, Australia.

Professor Han was awarded The 2021 Norbert Wiener Award (the Highest Award in systems science and engineering, and cybernetics), The 2021 M. A. Sargent Medal (the Highest Award of the Electrical College Board of Engineers Australia), The IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award in 2022, 2020, and 2019, respectively, The IEEE/CAA Journal of Automatica Sinica Norbert Wiener Review Award in 2021, and The IEEE Transactions on Industrial Informatics Outstanding Paper Award in 2020.

Professor Han is a Member of the Academia Europaea (The Academy of Europe). He is a Fellow of The Institute of Electrical and Electronics Engineers (FIEEE), a Fellow of The International Federation of Automatic Control (FIFAC), a Fellow of The Institution of Engineers Australia (FIEAust), and a Fellow of The Chinese Association of Automation (FCAA). He is a Highly Cited Researcher in both Engineering and Computer Science (Clarivate Analytics). He has served as an AdCom Member of IEEE Industrial Electronics Society (IES), a Member of IEEE IES Fellows Committee, a Member of IEEE IES Publications Committee, and Chair of IEEE IES Technical Committee on Networked Control Systems. He is currently the Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica, the Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics, and the Co-Editor of Australian Journal of Electrical and Electronic Engineering.

 

 

Keynote Speaker II
Prof. Ruqiang Yan, Xi’an Jiaotong University, China (IEEE Fellow, ASME Fellow)

Ruqiang Yan is a Professor and Director of International Machinery Center at the School of Mechanical Engineering, Xi’an Jiaotong University, China. His research interests include energy-efficient sensing, data analytics, and artificial intelligence for the condition monitoring, fault diagnosis and prognosis of large-scale, complex, dynamical systems.

Dr. Yan is a Fellow of IEEE (2022) and ASME (2019). His honors and awards include the IEEE Instrumentation and Measurement Society Distinguished Service Award in 2022 and Technical Award in 2019, and multiple best paper awards. Dr. Yan is the Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement and Distinguished Lecturer of the IEEE Instrumentation and Measurement Society.

 

Keynote Speaker III
Prof. Zhongsheng Hou, Qingdao University, China (IEEE Fellow, CAA Fellow)

Zhongsheng Hou received the B.S. and M.S. degrees from Jilin University of Technology, Jilin, China, in 1983 and 1988, respectively, and the Ph.D. degree from Northeastern University, Shenyang, China, in 1994. From 1997 to 2018, he was with Beijing Jiaotong University, Beijing, China, where he was a Distinguished Professor and the Founding Director of Advanced Control Systems Lab, and the Head of the Department of Automatic Control. He is currently a Chair Professor with Qingdao University, Qingdao, China.

His research interests are in the fields of data-driven control, model-free adaptive control, learning control, and intelligent transportation systems. He has authored two monographs, Nonparametric Model and its Adaptive Control Theory, Science Press (in Chinese), 1999, and Model Free Adaptive Control: Theory and Applications, CRC Press, 2013. His pioneering work on model-free adaptive control theory has been verified in more than 230 different field applications, laboratory equipment and simulations with practical background, including wide-area power systems, lateral control of autonomous vehicles, temperature control of silicon rod.

Prof. Hou is the Founding Director of the Technical Committee on Data Driven Control, Learning and Optimization (DDCLO), Chinese Association of Automation (CAA), and is also a Fellow of CAA, IEEE Fellow, and AAIA Fellow. Dr. Hou was the Guest Editor for two Special Sections on the topic of data-driven control of the IEEE Transactions on Neural Networks in 2011, and the IEEE Transactions on Industrial Electronics in 2017.

Keynote Speaker IV
Prof. Dan Zhang, York University, Canada (IEEE Senior Member)

Dr. Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics in the Department of Mechanical Engineering of the Lassonde School of Engineering at York University. From July 1, 2004, to December 31, 2015, Dr. Zhang was a Professor and Canada Research Chair in Advanced Robotics and Automation, was a founding Chair of the Department of Automotive, Mechanical and Manufacturing Engineering with the Faculty of Engineering & Applied Science at University of Ontario Institute of Technology.

He received his PhD in Mechanical Engineering from Laval University in June, 2000. Dr. Zhang’s contributions to and leadership within the field of robotic and automation have been recognized with several prestigious awards, within his own university (Lassonde Innovation Awards --- Established Researcher in 2018, Research Excellence Award both from university level in 2009 and faculty level in 2008), the Province of Ontario (Early Researcher Award in 2010), the professional societies (election to Fellow of the CAE in 2017, the ASME in 2016, the EIC in 2012 and the CSME in 2010) and federal funding agencies (Canada Research Chair in January 2009 and renewed in January 2014). As well, he was awarded the Inaugural Teaching Excellence by the Faculty of Engineering and Applied Science of UOIT in 2006 and the Best Professor Award by UOIT Engineering Students' Society in 2012. Dr. Zhang was listed as the World’s Top Two Percent Researchers by Stanford’s Standardized Citation Indicators in 2020.

Dr. Zhang is the editor-in-chief for International Journal of Mechanisms and Robotic Systems, the editor-in-chief for International Journal of Robotics Applications and Technologies, Associate editor for the International Journal of Advanced Robotic Systems, the International Journal of Robotics and Automation (ACTA publisher) and guest editors for other four international journals. Dr. Zhang served as a member of Natural Sciences and Engineering Research Council of Canada (NSERC) Grant Selection Committee and committee member for the Early Researcher Awards (ERA) program by Ministry of Colleges and Universities Ontario. Dr. Zhang was director of Board of Directors at Durham Region Manufacturing Association and director of Board of Directors of Professional Engineers Ontario, Lake Ontario Chapter. Dr. Zhang is a registered Professional Engineer of Canada, a Fellow of the Canadian Academy of Engineering (CAE), a Fellow of the Engineering Institute of Canada (EIC), a Fellow of the American Society of Mechanical Engineers (ASME) and a Fellow of Canadian Society for Mechanical Engineering (CSME), a Senior Member of Institute of Electrical and Electronics Engineers (IEEE) and a Senior Member of SME.

 

Keynote Speaker V
Prof. Gang Wang, Beijing Institute of Technology, China

Dr. Gang Wang is a professor with the National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology since 2020. He obtained his dual Ph.D. degrees from the University of Minnesota and Beijing Institute of Technology in 2018. From 2018 to 2020, he was a postdoctoral researcher at the University of Minnesota. His main research areas include data-driven control and multi-agent reinforcement learning for unmanned and networked systems. He has been awarded several grant awards. He has published more than 50 papers in top journals such as IEEE TIT/TAC/TSP, and 50 conference papers in e.g., NeurIPS/AISTATS/ICASSP. He has won several paper awards including the FITEE Best Paper Award in 2021, IEEE PES-GM Best Paper Award in 2019, EUSIPCO Best Student Paper Award in 2017, and the Outstanding Ph.D. Thesis Award of the Chinese Association of Automation in 2020. He is currently serving as an editor for Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, and IEEE Open Journal of Control Systems.