Dr. Mingjian Zuo is a Professor at the University of Alberta, Canada, a Guest Professor at the University of Electronic Science and Technology of China, and a Chief Scientist at Qingdao International Academician Park Research Institute. His research interests include system reliability analysis, maintenance modelling and optimization, signal processing, fault diagnosis, and health management of engineering systems. He received 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.

Dr. Dong Wang is an Associate Professor at the Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China, where he is also with the State Key Laboratory of Mechanical System and Vibration. His research interests include sparsity and complexity measures, signal processing, prognostics and health management, condition monitoring and fault diagnosis, statistical learning, statistical process control, probability models, operation research and nondestructive testing. His research outcomes have been applied in collaborations with the Fifth Academy of Aerospace Science and Technology, Lenovo, Huawei, Western Digital, Shanghai Electric, Shanghai Nuclear Engineering, China Nuclear Power, etc. Dr. Wang is an Editorial Board Member of Mechanical Systems and Signal Processing. He is an Associate Editor of IEEE Transactions on Instrumentation and Measurement, IEEE Sensors Journal, Measurement, Journal of Dynamics, Monitoring and Diagnostics.

Dr Han Huang is a Chair Professor at School of Advanced Manufacturing, Sun Yat-sen University, China, and an Emeritus Professor of Mechanical Engineering at The University of Queensland, Australia. Professor Huang obtained his PhD at The University of Western Australia and ME and BE at Huazhong University of Science and Technology, China. He has published over 300 SCI journal articles with a total citation of over 12,300 times, with an h-index of 61. He also received several prestigious research accolades including Australia Research Council Future Fellow, Australian Research Fellow, Queensland International Fellow, JSPS Invitation Senior Fellow, and Singapore National Technology Award. Professor Huang is an Associate Editor of International Journal of Mechanical Sciences and International Journal of Extreme Manufacturing.

Dr. Fulei Chu is a Professor of Mechanical Engineering at Tsinghua University. He received his PhD from Southampton University. His research interests include rotating machinery dynamics, machine condition monitoring and fault diagnostics, nonlinear vibration and vibration control. He proposed several models of typical faults in rotating machinery to investigate the fault features and feature extraction methods for non-stationary signal processing which can effectively ameliorate the deficiencies of the traditional Hilbert-Huang transform. His research results have been extensively used in the condition monitoring of water turbines and wind turbines. Professor Chu has published more than 300 papers in peer review journals, including 38 papers in the Journal of Sound and Vibration. He is the Chair of the Fault Diagnostics Technical Committee of the Chinese Society for Vibration Engineering. He remains in the Elsevier list of Most Cited Chinese Researchers in the field of Mechanical Engineering since 2014.

Dr. Hongjun Wang is a professor of Beijing Information Science and Technology University, China, Dean of School of Information Management, Director of Beijing International Science and Technology Cooperation Base of Intelligent Sensing and Control of High-end Equipment, Executive director of Fault Diagnosis Committee of China Vibration Engineering Society, visiting professor of University of Huddersfield, UK. Her main research interests are intelligent manufacturing and digital twin, machine-man-machine integration technology, intelligent perception of high-end equipment and electromechanical system monitoring. She received her PhD in Mechanical Manufacturing and Automation Engineering from Beijing Institute of Technology in 2005.

Dr Wenxian Yang is a Professor at the University of Huddersfield in the United Kingdom. His academic journey culminated in a PhD earned in 1999 from Xi’an Jiaotong University. With a diverse research portfolio, he explores various fields such as machine condition monitoring, fault diagnosis, reliability analysis, maintenance, marine and offshore renewable energy, system modelling, digital twin technology, signal processing, and data analysis. His expertise is recognized globally as he fulfils roles including Associate Editor for IET Renewable Power Generation, Associate Editor for Frontiers in Mechanical Engineering, and serves on the Editorial Boards of Electronics and the other 10 prestigious international journals.