Keynote Speakers

Abstract:

This talk will share some remarkable experiences related to establishing a collaborative research ecosystem between academia and industry, and its sustained operation in the university. Spotlight will be shown on a noteworthy case: the thriving 15-year industry-academia collaboration between China Steel Corporation and NCKU electric motor technology research center that has catalyzed breakthroughs in electric motor innovations. Changing the perception of traditional electric motors, this talk will also present the transformative potential of Motoring Gear, an integrated motor and magnetic-gear drive design, and its revolutionary applications across various industries.

Biography:

Professor Mi-Ching Tsai received his Ph.D. degree in engineering science from the University of Oxford U.K. in 1990. He was a visiting professor at the University of Cambridge, UK (2003-2004), and is currently a chair professor at the Department of Mechanical Engineering and Director of the Electric Motor Technology Research Center (EMTRC) at the National Cheng Kung University, Taiwan. He has published more than 144 journal papers, authored a book, “Robust and Optimal Control: A Two-port Framework Approach”, and holds more than 130 patents. His research interests include robust control, motor drive technology, and motor design utilizing 3D printing. Through his leadership of the EMTRC, he has guided motor-related technology transfers from academia to industry, as well as empowered local industries and research centers. Dr. Tsai is a Fellow of the IEEE, IET (UK), Chinese Institute of Engineers, CACS and CIAE respectively, a committee member of the Japan Nagamori Awards (2014-now), and was the Chairman of the Board of the Metal Industries Research & Development Centre (2015-2016), and the Deputy Minister of the Ministry of Science and Technology, Taiwan (2016-2017). He is a recipient of the 2013 R&D 100 Awards, the 2014 Outstanding Contributions Award and 2019 Academic Award in S&T from the Taiwan Executive Yuan, the 2021 National Excellent Teacher Award from the Ministry of Education, and the 2022 Taiwan Presidential Innovation Award.

Abstract:

Due to the rise of Industry 4.0, machinery health prognosis has become one of the primary objectives of machine maintenance. Artificial intelligence (AI) is a successful method of machine condition monitoring and fault diagnosis since these techniques are used as tools for routine maintenance. To prevent the machine from operating in a fault state, a variety of sensors are applied for machine health monitoring. Subsequently, the collected sensor data are fed into a degradation model, which is used to evaluate the machine status. This leads the applications of smart machinery by using AI techniques. This talk will focus on AI in vibrational signals and its applications on smart machinery diagnosis, includes explainable AI (XAI) techniques for vibrational signals analysis; tool wears estimation, sensors influence analysis, on-line domain adaption, and industrial federated learning. 

Biography:

Professor Ching-Hung Lee (Senior Member, IEEE) received the B.S. and M.S. degrees from the Department of Control Engineering, National Chiao Tung University, Hsinchu, Taiwan, in 1992 and 1994, respectively, and the Ph.D. degree from the Department of Electrical and Control Engineering, National Chiao Tung University, in 2000. He is currently a Distinguished Professor with the Institute of Electrical and Control Engineering, National Yang Ming Chiao Tung University, Hsinchu. His research interests include artificial intelligence, smart manufacturing, fuzzy neural systems, signal processing, nonlinear control systems, robotics control, and CNC motion control and optimization. He received the Researcher Excellent Award and Wu Ta-Yu Medal (Young Researcher Award) from the National Science and Technology Council, Taiwan, in 2023, and 2008, respectively. He was also awarded the Fellow, Youth, and Excellent Automatic Control Engineering Awards from the Chinese Automatic Control Society, Taiwan, in 2019, 2009, and 2016, respectively. 

Abstract: 

Cyber-physical systems (CPS), such as smart grids and intelligent transportation systems, are complex systems where software and hardware components are seamlessly integrated towards performing well-defined tasks. However, this integration increases the vulnerability of CPS with more chances/higher possibility of cyber-attack that could cause severe consequences to economics, society, and human beings. Hence, cyber-security is a critical and important issue to be addressed in CPS. In this talk, the security of CPS is discussed from the perspectives of attackers. We will introduce the background of CPS and security issues, and some existing work on cyber-attacks. We then present our recent work on the design of stealthy hybrid attacks to CPS, which enables attackers to launch hybrid cyber-attacks more effectively to maximize system performance degradation with less chance to be detected. In turn, the attack strategies proposed would challenge the defenders to develop more effective, efficient and resilient methodologies to possibly detect hackers’ intrusions, and maintain the systems operating in a secure, reliable and desired mode. 

Biography:

Professor Peng Shi received the PhD degree in Electrical Engineering from the University of Newcastle, Australia, the PhD degree in Mathematics from the University of South Australia, the Doctor of Science degree from the University of Glamorgan, UK, and the Doctor of Engineering degree from the University of Adelaide, Australia. He is now a Distinguished Professor at the School of Electrical and Mechanical Engineering, and the Director of Advanced Unmanned Systems Laboratory, at The University of Adelaide, Australia. His research interests include systems and control theory and applications to autonomous and robotic systems, cyber-physical systems, and multi-agent systems. He received the Ramesh Agarwal Life-time Achievement Award in Science, Engineering and Technology from the International Engineering and Technology Institute in 2023, the MA Sargent Medal Award from Engineers Australia in 2022; the honor of Life-time Achiever Leaderboard and Field Leader from The AUSTRALIAN Research Review from 2019-2023, and the recognition of a Highly Cited Researcher from Thomson Reuters consecutively since 2014. Currently he serves as the Editor-in-Chief of IEEE Transactions on Cybernetics, a Senior Editor of IEEE Access, and an editorial member for a number of journals, including Automatica and IEEE Transactions on (Artificial Intelligence, and Circuits and Systems). His professional services also include as the President of the International Academy for Systems and Cybernetic Sciences (2021--), the Vice President of IEEE SMC Society (2021-2022), and IEEE SMC Society Distinguished Lecturer (2020--). He is a Fellow of IEEE, IET, IEAust and CAA, a Member of the Academy of Europe .