Big Data Analytics and Intelligent Operations & Maintenance

Introduction

This summer course invites distinguished international experts to deliver cutting-edge lectures on Big Data Analytics and Intelligent Operations & Maintenance (O&M). Professor Zidong Wang (Fellow of the European Academy of Sciences and IEEE, Brunel University London) will explore fundamental data processing, machine learning modeling, and data-driven optimization for industrial systems. Professor Eugene Chen (University of Manitoba) will focus on predictive maintenance, fault diagnosis, and digital twin applications in critical engineering domains like railway and wind turbine health management. Through this interdisciplinary program, students will gain competencies in data analysis tools, digital twin deployment, and AI-driven O&M strategies. The curriculum combines theoretical rigor with real-world case studies, preparing participants for advanced research and industrial innovation while fostering academic writing and problem-solving skills.

全球学生统一报名端口：

International summer school of Xi’an Jiaotong University Group.

Anyone who is interested in attending online class, Please scan the QR code to join the QQ group.

Admission Information:

Entry Requirement: The program caters to a wide variety of audiences, not only the undergraduates and postgraduate Mechanical Engineering, all students are encouraged to join in the program without grade requirements.

Enrollment: 100 students online, unlimited number of students offline. Students from XJTU-MSE participate in offline courses, while students from other schools participate in online courses.

Lecturer Profile

Professor Zidong Wangis currently a Chair Professor at Brunel University London, a Fellow of the European Academy of Sciences, a Fellow of the European Academy of Sciences and Arts, an IEEE Fellow, and the Editor-in-Chief of the International Journal of Systems Science and Neurocomputing. He has been engaged in research on control theory, machine learning, bioinformatics, and other fields for many years, and has published over 700 international papers in SCI journals. He is currently or has previously served as the Editor-in-Chief, Associate Editor, or Editorial Board Member of twelve international journals. He has also served as the President of the Chinese Automation and Computing Society in the UK, a National Leading Talent at Donghua University, and a National Expert at Tsinghua University.

Dr Eugene Chenis currently an Assistant Professor at the University of Manitoba. He received his Ph.D. in Mechanical Engineering from the University of Alberta in 2020. His research interests include reliability analysis of mechatronic systems, fault diagnosis, condition monitoring, prognostics and health management, machine learning, and intelligent manufacturing informatization. He has published 23 SCI journal papers, 9 conference papers, and 1 book chapter, and has been granted 10 invention patents (including 3 as the first inventor, and 1 that has been commercialized). As the first and corresponding author, he has published 16 SCI journal papers, including 11 in JCR Q1 journals, with 4 first-author papers in the top journal Mechanical Systems and Signal Processing. Additionally, Dr. Eugene Chen has received the Alberta Science Innovation Award, the Best Paper Award at the Canadian Rotating Machinery Symposium, and third place in the International Prognostics and Health Management Competition. He has (or has served as) a Guest Editor for Mechanical Systems and Signal Processing and Engineering Applications of Artificial Intelligence, the Conference Secretary for APARM2020 Vancouver, a member of the IEEE PHM Project Committee, and has been a long-term reviewer for journals such as IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing, and Reliability Engineering and System Safety.