- xiaoge.zhang@polyu.edu.hk
- Machine learning, Uncertainty quantification, Risk and reliability analysis, Resilience modeling, Data science
- Personal Website
Biography
Dr. Xiaoge Zhang is currently an assistant professor in the Department of Industrial and Systems Engineering (ISE) at The Hong Kong Polytechnic University. Before joining ISE at PolyU, he was a Senior Operations Research Analyst in the Operations Research and Spatial Analytics (ORSA) group at the headquarter of FedEx Express in Memphis, Tennessee, United States from March 2020 to August 2021. He received Ph.D. in Systems Engineering and Operations Research at Vanderbilt University, Nashville, Tennessee, United States in 2019. During his Ph.D., he interned at the National Aeronautics and Space Administration (NASA) Ames Research Center (ARC) from August to December in 2016 at Moffett Field, California, working at the Prognostics Center of Excellence (PCoE) led by Dr Kai Goebel. He was a recipient of the Chinese Government Award for Outstanding Self-financed Students Abroad in 2017. Prior to that, he received his Master degree in Computer Science from Southwest University, Chongqing, China, in 2014.
Dr. Zhang’s research interests include risk & reliability analysis, resilience modeling, machine learning, uncertainty quantification, and data science. His work has appeared in leading academic journals, such as Risk Analysis, IEEE Transactions on Reliability, Decision Support Systems, Information Sciences, Reliability Engineering and System Safety, IEEE Transactions on Cybernetics, and Annals of Operations Research, among others. He is a member of IEEE, INFORMS, and SIAM.
Education and Academic Qualifications
- Master of Engineering, Southwest University
- Doctor of Philosophy, Vanderbilt University