About me

I am Yang Shan (羊山), a PhD candidate in ISEM at the National University of Singapore (NUS). Currently, I am working on applying Deep Reinforcement Learning (DRL) to congestion management in mixed traffic flow environments, focusing on both connected and regular vehicles. While studying at Tongji University, I also worked on optimization problems in taxi pooling and 2D irregular packing.

Education

  • B.S., Management Science and Engineering, Tongji University, 2021
  • B,S.(Minor Degree), Law, Fudan University, 2021
  • Ph.D, Industrial System and Engineering, National University of Singapore, 2025 (expected)

Publication

Conference Proceeding

Paper Under Review

  • Yang S., Feng Y., Wang W.L., Liu Y. Designing a Forward-Looking Probabilistic Matching Policy for Dynamic Ridepooling Service.

Working Paper

  • Yang S., Liu Y. Learn to Desseminate Personalized Information to Vehicles in Stochastic Traffic Networks.
  • Yang S., Liu Y. A New Paradigm for Learning the Optimal Tolling Policy.

Academic Services

Reviwer, The 22nd COTA International Conference of Transportation Professionals (CICTP 2022)

Honors

  • NUS Research Scholarship, 2022
  • National First Prize, China Contemporary Undergraduate Mathematical Contest in Modeling, 2020
  • Kaisa Innovation and Entrepreneurship Scholarship of Tongji University, 2019
  • Second Prize in Shanghai, “Internet+” Innovation and Entrepreneurship Competition, 2017