Keynote Speeches

Prof. Zidong Wang
Brunel University London, UK

王子栋 教授，英国布鲁内尔大学， 欧洲科学院院士、欧洲科学与艺术院院士、IEEE Fellow

Zidong Wang is a member of Academia Europaea, a Member of the European Academy of Sciences and Arts, an IEEE Fellow and Professor of Computing at Brunel University London, UK. He has research interests in intelligent data analysis, statistical signal processing and dynamic systems & control. He has been named as the Hottest Scientific Researcher in 2012 in the area of Big Data and listed as highly cited researchers in categories of both computer science and engineering in 2015-2020 with an h-index of 139. He is currently serving as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, the Editor-in-Chief for Systems Science and Control Engineering, and Associate Editor for other 12 prestigious journals including 5 IEEE Transactions.  His research has been funded by the EU, the Royal Society and the EPSRC.

Prof. Mingjian Zuo
Shandong University, China

左明健 教授， 山东大学， 加拿大工程院院士、IEEE Fellow

Dr. Mingjian Zuo received the Bachelor of Science degree in Agricultural Engineering in 1982 from Shandong Institute of Technology, China, and the Master of Science degree in 1986 and the Ph.D. degree in 1989 both in Industrial Engineering from Iowa State University, Ames, Iowa, U.S.A. He is the Founder and CEO of Mingserve Technology Co. Ltd., China, a Guest Professor at the University of Electronic Science and Technology of China, and a Full Professor at the University of Alberta, Canada. His research interests include system reliability analysis, maintenance modeling and optimization, signal processing, fault diagnosis, machine learning, and prognosis & health management. He served as Department Editor of IISE Transactions, Associate Editor of IEEE Transactions on Reliability, Associate Editor of the Journal of Risk and Reliability, Associate Editor of the International Journal of Quality, Reliability and Safety Engineering, Regional Editor of the International Journal of Strategic Engineering Asset Management, and Editorial Board Member of Reliability Engineering and System Safety, Journal of Traffic and Transportation Engineering, and International Journal of Performability Engineering. He is a Fellow of the Canadian Academy of Engineering, a Fellow of the Institute of Industrial and Systems Engineers (IISE), a Fellow of the Engineering Institute of Canada (EIC), and a Founding Fellow of the International Society of Engineering Asset Management (ISEAM).

Prof. Suk Joo Bae
Hanyang University, Seoul, Republic of Korea

Suk Joo Bae 教授，韩国汉阳大学，韩国可靠性学会主席

Speech Title: Prognostic health management (PHM) and predictive maintenance (PdM) for Complex Systems
Abstract: Maintenance optimization for complex systems is an increasing critical issue in manufacturing industries including automobiles and semiconductors. Using IoT and smart censors, engineers aim to decide proper maintenance time points or intervals via health indicators representing system conditions. In this seminar, I introduce prognostic health management (PHM) and predictive maintenance (PdM) via off-line and on-line data for complex systems. Using off-line data, I present statistical models (e.g., nonhomogeneous Poisson process (NHPP), frailty models) for repairable systems. For PHM, I introduce a general five-stage process for PHM and PdM. I also present condition-based maintenance policy using signal processing and statistical process control techniques, based on on-line sensor data. Finally, I present several real case studies for PHM and PdM in power plants and automobiles.

Bio: Dr. Suk Joo Bae is a Professor of the Department of Industrial Engineering at Hanyang University, Seoul, Korea. Prof. Bae received his Ph.D. from the School of Industrial & Systems Engineering at Georgia Institute of Technology, in 2003. Prof. Bae was the President of Korean Society of Prognostics & Health Management in 2023 and Korea Reliability Society in 2025. Prof. Bae was the Editor-in-Chief of the Journal of the Korean Society for Quality Management, The Journal of Applied Reliability, and the Associate Editor of IEEE Transactions on Reliability, IISE Transactions, and Informs Journal on Data Science. Prof. Bae has published more than 100 journal papers including Technometrics, Journal of Quality Technology, IISE Transactions, Reliability Engineering & System Safety, and IEEE Transactions on Reliability. His research interests include accelerated life & degradation tests, condition-based maintenance, health monitoring, and remaining useful life prediction for batteries and fuel cells.