Academic Staff

Brief Biosketch

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 reliable AI, reliability of autonomous systems, uncertainty quantification, and assured autonomy as well as their applications to critical domains. His work has appeared in leading academic journals, such as Nature Biomedical Engineering, Nature Communications, INFORMS Journal on Computing, IEEE Transactions on Reliability, Decision Support Systems, Reliability Engineering and System Safety, IEEE Transactions on Cybernetics, among others. He is a senior member of IEEE.

Research Interests

• Reliable AI
• Uncertainty quantification
• Reliability engineering
• Data science

Selected Journal Publications

1. Zhang, X., Wang, T., Yan, C., Najdawi, F., Zhou, K., Ma, Y., Cheung, Y.M., Yeung, M.C., and Malin, B.A., 2025. Implementing trust in non-small cell lung cancer diagnosis with a conformalized uncertainty-aware AI framework. Nature Biomedical Engineering, doi: 10.1038/s41551-026-01694-8.
2. Dong, P., Wang, X.L., Bose, I., Ng, K.K., Zhang, X. and Zhang, X., 2025. Causally aware spatiotemporal multigraph convolutional network for accurate and reliable traffic prediction. INFORMS Journal on Computing, doi: 10.1287/ijoc.2024.0891.
3. Zhang, X., Wang, T., Ma, L. and Mahadevan, S., 2025. Reliability engineering, risk management, and trustworthiness assurance for AI systems. Journal of Reliability Science and Engineering, 1(2), p.022001.
4. Nemani, V., Biggio, L., Huan, X., Hu, Z., Fink, O., Tran, A., Wang, Y., Zhang, X. and Hu, C., 2023. Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial. Mechanical Systems and Signal Processing, 205, p.110796.
5. Zhang, X. and Mahadevan, S., 2020. Bayesian neural networks for flight trajectory prediction and safety assessment. Decision Support Systems, 131, p.113246.
6. Zhang, X., Srinivasan, P., & Mahadevan, S. (2021). Sequential deep learning from NTSB reports for aviation safety prognosis. Safety Science, 142, 105390.
7. Zhang, X., & Mahadevan, S. (2021). Bayesian network modeling of accident investigation reports for aviation safety assessment. Reliability Engineering & System Safety, 209, 107371.
8. Zhang, X., Hu, Z., & Mahadevan, S. (2020). Bilevel Optimization Model for Resilient Configuration of Logistics Service Centers. IEEE Transactions on Reliability, In Press.
9. Zhang, X., & Mahadevan, S. (2020). Bayesian neural networks for flight trajectory prediction and safety assessment. Decision Support Systems, 131, 113246.
10. Zhang, X., Mahadevan, S., Lau, N., & Weinger, M. B. (2020). Multi-source information fusion to assess control room operator performance. Reliability Engineering & System Safety, 194, 106287.
11. Zhang, X., Mahadevan, S., & Goebel, K. (2019). Network reconfiguration for increasing transportation system resilience under extreme events. Risk analysis, 39(9), 2054-2075.
12. Zhang, X., & Mahadevan, S. (2019). Ensemble machine learning models for aviation incident risk prediction. Decision Support Systems, 116, 48-63.
13. Gao, C., Zhang, X., Yue, Z., & Wei, D. (2018). An accelerated Physarum solver for network optimization. IEEE Transactions on Cybernetics, 50(2), 765-776.
14. Zhang, X., Mahadevan, S., Sankararaman, S., & Goebel, K. (2018). Resilience-based network design under uncertainty. Reliability Engineering & System Safety, 169, 364-379.
15. Zhang, X., & Mahadevan, S. (2017). A bio-inspired approach to traffic network equilibrium assignment problem. IEEE transactions on cybernetics, 48(4), 1304-1315.
16. Zhang, X., Mahadevan, S., & Deng, X. (2017). Reliability analysis with linguistic data: An evidential network approach. Reliability Engineering & System Safety, 162, 111-121.
17. Zhang, X., Deng, Y., Chan, F. T., Xu, P., Mahadevan, S., & Hu, Y. (2013). IFSJSP: a novel methodology for the job-shop scheduling problem based on intuitionistic fuzzy sets. International Journal of Production Research, 51(17), 5100-5119.
18. Zhang, X., Zhang, Z., Zhang, Y., Wei, D., & Deng, Y. (2013). Route selection for emergency logistics management: A bio-inspired algorithm. Safety science, 54, 87-91.