Zhu Xiaolei

PhD Candidate, Research Engineer

Email

Educational Qualifications

  • B.Eng., Transportation Engineering, Southeast University, 2017-2021
  • Ph.D, Civil and Environmental Engineering, National University of Singapore, 2021-present

Position Held

  • Research Engineer, Cisco-NUS Accelerated Digital Economy Corporate Laboratory, 2022-present

Honours & Awards

  • Best Paper Award, the 6th International Symposium on Multimodal Transport (ISMT 2024).
  • Third Prize, 15th National Competition of Transport Science and Technology for Undergraduate Students, 2020.
  • Jiqian Xu – Qiu Zhang Scholarship, Southeast University, 2018-2019 Academic Year.

Publications

Journal

  • Zhu, X., Liu, Y.* and Zhang, L. (2026). Dynamic Senior-Centric Type Matching Optimization for Mobility-on-Demand Management in Aging Societies. Transportation Research Part C: Emerging Technologies, Accepted.
  • Zhu, X., Tang, X., Xie, J. and Liu, Y*. (2025). A Learning-Informed Optimization Framework for Dynamic Balancing-Charging Management of Shared Autonomous Electric Vehicle Systems. Transportation Research Part C: Emerging Technologies, 178, p.105209.

    Paper Under Review

  • Zhong, L., Zhu, X., Xu, G. and Liu, Y.* (2026). Learning-augmented optimisation framework for dynamic railway capacity control with seat assignments under cancellations. Transportation Research Part E: Logistics and Transportation Review. Under Review.

    Working Papers

  • Zhu, X., and Liu, Y.*, 2026. Dynamic Pricing for Mixed Solo-Pooling Mobility-on-Demand Markets.

ISTTT Proceedings

  • Zhu, X., Liu, Y.* and Zhang, L. (2026). Dynamic senior-centric type matching optimization for mobility-on-demand management in aging societies. The 26th International Symposium on Transportation and Traffic Theory (ISTTT).

Conference Proceedings

  • Zhu, X., Bai, Q., Ong, G. P., & Sikdar, B. (2025, November). Real-Time Traffic Incident Detection with Sparse Observations: A Masked Spatiotemporal Graph Learning Framework. In 2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3630-3635). IEEE.
  • Zhu, X., Tang, X., Xie, J. and Liu, Y.* (2023, September). Dynamic balancing-charging management for shared autonomous electric vehicle systems: a two-stage learning-based approach. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 3762-3769). IEEE.

Other Conference Presentations

  • Zhu, X., Tang, X., Xie, J. and Liu, Y.* (2025). A Learning-Informed Optimization Framework for Dynamic Balancing-Charging Management of Shared Autonomous Electric Vehicle Systems. INFORMS International Meeting, Singapore.
  • Zhu, X., Tang, X., Xie, J. and Liu, Y.* (2024). Dynamic Balancing-Charging Management for Shared Autonomous Electric Vehicle Systems: A Two-Stage Learning-Based Approach. The Transportation Research Board (TRB) 103rd Annual Meeting, Washington, D.C.

Patent

  • Wang, H., Jiao, L., Li, X., Zhu, X., Liu, Y. and Tao, H. (2020). Lane-modularization-based traffic design for passenger hub drop-off platforms.