Biography

Dr. Xiao-Lin Wang (王晓林) is currently an Associate Professor in the Business School, Sichuan University, Chengdu, China. Prior to that, he was a Research Assistant Professor in the Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong SAR. He received his Ph.D. in Industrial Engineering from City University of Hong Kong (supervised by Assoc. Prof. Lishuai Li and Prof. Min Xie) in 2020, and his B.E. and M.S. degrees in Industrial Engineering from Southeast University (supervised by Prof. Chun Su) in 2013 and 2016, respectively.

Dr. Wang’s research interest lies in applying data analytics, stochastic modeling, and optimization techniques to solve reliability improvement, maintenance optimization, warranty analytics, and operations management problems. He is also collaborating with his colleagues on other research topics, like interpretable machine learning and online reinforcement learning algorithm design. His research is funded by the National Natural Science Foundation of China, the Ministry of Education of China, and Sichuan University, among others. His research outcomes have appeared in IEEE Transactions on Reliability, IISE Transactions, European Journal of Operational Research, Manufacturing & Service Operations Management, among others.

Dr. Wang is currently an editorial board member of 工业工程 (from Jan 2024), a special corresponding expert of Frontiers of Engineering Management (from Feb 2025), and also served as an editorial board member for International Journal of Reliability and Safety (Dec 2021 - Dec 2024). He is also a Council Member of the CSOOPEM Industrial Engineering Branch (from Dec 2024) and an Early-Career Council Member of the ORSC Stochastic Service and Operations Management Branch (from Jul 2023). He has been serving as an anonymous referee for over 30 academic journals. He is a member of IEEE, IISE, INFORMS, and POMS.

For prospective students: Dr. Xiao-Lin Wang is actively recruiting self-motivated research degree students (PhD & MPhil). If you are interested, please send your CV and transcript to xiaolinwang@scu.edu.cn for possible consideration.