Keynote Speeches

Prof. Xiaohong Guan
Xi’an Jiaotong University, China

管晓宏 教授，西安交通大学，中国科学院院士、IEEE Fellow

Bio: Professor Xiaohong Guan received his B.S. and M.S. degrees in Control Engineering from Tsinghua University, Beijing, China, in 1982 and 1985, respectively, and his Ph.D. degree in Electrical and Systems Engineering from the University of Connecticut in 1993.  He was a senior consulting engineer with Pacific Gas and Electric from 1993 to 1995.  He visited the Division of Engineering and Applied Science, Harvard University from Jan. 1999 to Feb. 2000.  From 1985 to 1988 and since 1995 he has been with the Systems Engineering Institute at Xi’an Jiaotong University, Xian, China, and was appointed the Cheung Kong Professor of Systems Engineering in 1999, and Dean of School of Electronics and Information Engineering since 2008.  From 2001 he has also been with the Center for Intelligent and Networked Systems, Tsinghua University, Beijing, China, and served as the Head of Department of Automation, Tsinghua University, 2003-2008.  

Professor Guan is a member of the Chinese Academy of Sciences and is an IEEE Fellow. He has been serving as the Editor of IEEE Transactions on Smart Grid since 2014.  His research interests include economics and security of networked systems, optimization-based planning and scheduling of electrical power and energy systems, manufacturing systems, as well as cyber-physical systems including smart grids and sensor networks.

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

Speech Title: Intelligent Approaches for Practical Prognosis and Health Management
Abstract: Intelligent prognosis and health management (iPHM) is essential for assurance of functionality, safety, reliability, and sustainability of engineering assets. Recent advances in sensor technology, communication technology, data mining methods, and large scale models bring new opportunities for effective PHM. This talk will first introduce general principles of prognosis and health management and various relevant methods for realization of intelligence. We will then present our recent work on development and applications of PHM software and hardware tools. Finally, challenges in development of PHM tools for industrial settings including traditional and intelligent approaches will be presented.

Bio: Dr. Mingjian Zuo is Distinguished Professor of Shandong University, China, Professor Emeritus of the University of Alberta, Canada, and Founder and Chief Scientist of Mingserve Technology Co. Ltd., China. He received the Bachelor of Science degree in Agricultural Engineering in 1982 from Shandong University 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, USA. His research interests include system reliability analysis, maintenance modeling and optimization, signal processing, fault diagnosis, machine learning, and prognosis & health management. He is Fellow of the Canadian Academy of Engineering (CAE), Fellow of Electrical and Electronics Engineers (IEEE), Fellow of the Prognostics and Health Management Society (PHMS), Fellow of the Asia-Pacific Artificial Intelligence Association (FAAIA), Fellow of the Institute of Industrial and Systems Engineers (IISE), and Founding Fellow of the International Society of Engineering Asset Management (ISEAM). He served as Co-Editor-in-Chief of Journal of Reliability Science and Engineering, Department Editor of IISE Transactions, Associate Editor of IEEE Transactions on Reliability, Associate Editor of Journal of Risk and Reliability, Associate Editor of International Journal of Quality, Reliability and Safety Engineering, Regional Editor of 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.

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.