Zengshou Dong
Professor of Taiyuan University of Science and Technology, China. Director of Shanxi Equipment Digitization and Failure Prediction Engineering Research Center, Director of Shanxi Equipment Diagnosis and Failure Prediction Graduate Education and Innovation Center, Chief Expert of Shanxi Industrial Digitization and Intelligent Sensing Joint Laboratory.

Biography: Zengshou Dong, professor, doctoral supervisor. He serves as the director of Shanxi Equipment Digitization and Failure Prediction Engineering Research Center, and the director of Shanxi Equipment Diagnosis and Failure Prediction Graduate Education and Innovation Center, Chief Expert of Shanxi Industrial Digitization and Intelligent Sensing Joint Laboratory. The main social part-time jobs are: member of China Internet of Things Expert Committee, deputy director of Shanxi Province Equipment Internet of Things Professional Committee, member of Shanxi Province Transportation and Logistics Standardization Committee.
His main research direction is fault diagnosis and prediction, intelligentization of logistics equipment, and industrial internet of things. He has been in charge of more than 30 scientific research projects, of which he has presided over 7 projects of National Natural Science Foundation of China, 7 projects of Shanxi Provincial Government Foundation, 25 projects commissioned by enterprises and institutions, published 1 monograph, participated in the publication of 3 national planning textbooks, and published more than 80 high-quality papers in domestic and foreign academic journals, of which more than 50 are indexed by SCI, EI.

Hongrui Cao
Professor (Leading Scholar) of Xi'an Jiaotong University, National High-level Special Talent, Approved by National Outstanding Youth Science Fund, German Humboldt Scholar

Biography: After receiving PhD degree, Dr. Cao pursued his academic career in School of Mechanical Engineering, Xi’an Jiaotong University. His research interests include digital twin modeling, fault mechanism analysis, fault diagnosis, and prediction of aircraft engines. He has presided over 10 projects, including the National Key Research and Development Program, National Natural Science Foundation, Major Special Projects, and Pre assembly Research. He received one first prize in science and technology from higher education institutions in Shaanxi Province. He has published over 80 journal and conference papers, including more than 50 SCI indexed papers, 4 ESI highly cited papers, and won the Best Paper Award (2019) from Int J Mach Tool Manu journal. One paper has been selected as one of the top academic papers in Chinese high-quality scientific and technological journals, and has won five excellent paper awards from the Chinese Society of Mechanical Engineering, the Society of Vibration Engineering, the Society of Aeronautics, and other societies. His research results have been cited and positively evaluated by 10 academicians of scientific/engineering academies, more than 10 CIRP fellows, and ASME fellows. For three consecutive years since 2019, he was selected in the World's Top 2% Scientists list (2022) and was selected as a "Chinese Highly Cited Scholar" by Elsevier in 2022.

Ke Feng
Professor and doctoral supervisor at Xi'an Jiaotong University, national level young talent, Marie Curie scholar

Biography: Ke Feng received the Ph.D. degree from the University of New South Wales, Kensington, NSW, Australia, in 2021. He worked at The University of British Columbia, Kelowna, BC, Canada, and the National University of Singapore, Singapore, in 2022 and 2023, respectively. He is a Marie Curie Fellow with the Imperial College London, London, U.K., and Brunel University London, Uxbridge, U.K. His main research interests include digital twin, vibration analysis, structural health monitoring, dynamics, tribology, signal processing, and machine learning.,He is a fellow of Vebleo. He is recognized as the Emerging Leader by the Measurement Science and Technology in 2023. He is an Editor and a Guest Editor of several journals, including IEEE Transactions on Industrial Informatics, Information Fusion, Journal of Intelligent Manufacturing, Structural Health Monitoring, IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Cyber-Physical Systems, Mechanical Systems and Signal Processing, Engineering Applications of Artificial Intelligence, IEEE Sensors Journal, Measurement Science and Technology, IET Collaborative Intelligent Manufacturing, Proc Inst Mech Eng B J Eng Manuf, etc. He has served as the session chair of a few international conferences and gave keynote speeches. His research results have been published in Information Fusion (IF 14.7), IEEE Transactions on Fuzzy Systems (IF 11.9), IEEE Transactions on Industrial Informatics (IF 11.7), Reliability Engineering&System Safety (IF 9.4), IEEE Internet of Things Journal (IF 8.2), Mechanical Systems and Signal Processing (IF 7.9), as well as other top journals. He won the second prize of the Science and Technology Award of the Chinese Aeronautical Society.

Lei Xiao
Associate Researcher, College of Mechanical Engineering, Donghua University, China. Approved by Shanghai Youth Science and Technology Raising Star Program

Biography: Lei Xiao graduated from Chongqing University in June 2016 with a degree in Management, and received funding from CSC to pursue a joint doctoral program in Industrial and Systems Engineering at Rutgers University in the United States. After graduating with a PhD, she worked at China Aero Engine Corporation and Shanghai Jiao Tong University. She is mainly engaged in research on predictive maintenance and health management of equipment. She has presided over 1 National Natural Science Foundation project, 1 General Project of China Postdoctoral Science Foundation, and 1 Free Exploration Project of the Central University Basic Research Business Fund. She has published over 10 SCI/EI papers as the first author or corresponding author.

Yiping Shao
Lecturer, Master Supervisor, Zhejiang University of Technology. He is also the deputy secretary-general and council member of the Logistics Engineering Branch of the Zhejiang Mechanical Engineering Society

Biography: Yiping Shao, Ph.D., Master Supervisor. His main research areas include intelligent manufacturing and quality control, big data and machine vision, intelligent logistics equipment, etc. He has presided over 10 projects, including the National Natural Science Foundation of China, the Natural Science Foundation of Zhejiang Province, the China Postdoctoral Science Foundation, the Excellent Postdoctoral Research Project of Zhejiang Province, the Zhejiang Medical and Health Science and Technology Plan, and enterprise cooperation projects. He has published over 30 SCI/EI academic papers and obtained or publicly disclosed more than 20 invention patents. He serves as a member of Early Career Advisory Board of the journal Measurement (SCI, Q1) and a reviewer for over 10 international journals. He is also the deputy secretary-general and council member of the Logistics Engineering Branch of the Zhejiang Mechanical Engineering Society.