Weihao Sun (孙炜昊)
Ph.D. student at Systems Engineering, Cornell University
322 Hollister Hall,
527 College Ave,
Ithaca, NY, 14850
ws493@cornell.edu
I am a first-year Ph.D. student in Systems Engineering at Cornell University, starting in Fall 2026, and a member of the Information and Decision Science (IDS) Lab. I am fortunate to be advised by Prof. Andreas Malikopoulos. My research interests include reinforcement learning, multi agent systems, optimal control, and robotics.
Previously, I pursued a Master of Science in Systems Engineering at Cornell University, with the degree expected in May 2026. I received my Bachelor of Science degree in Statistics, with a minor in Data Science, from the University of British Columbia.
For more details about my research and experience, please see my CV.
News
| Apr 28, 2026 | I am happy to announce that I successfully defended my master’s thesis for my M.S. degree in Systems Engineering at Cornell University! |
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| Mar 12, 2026 | I am pleased to announce that I will be pursuing a Ph.D. in Systems Engineering at Cornell University under the supervision of Professor Andreas Malikopoulos! |
| Nov 20, 2025 | I presented my our paper at IEEE ITSC 2025 in Gold coast, Australia. |
| Jul 01, 2025 | My first paper, AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning, got accepted to the IEEE International Conference on Intelligent Transportation Systems 2025. |
| Mar 24, 2025 | I presented our Systems capstone project with my collaborators at CCHEq. Symposium at Weill Cornell Medicine in Manhattan, NYC. |
Selected publications
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A Functional Learning Approach for Team-Optimal Traffic CoordinationIn 65th IEEE Conference on Decision and Control (CDC), 2026In Review -
AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement LearningIn 28th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025
Experience
Teaching Assistant
Cornell University , Aug. 2025 - Dec. 2025
Teaching assistant for SYSEN 5220, System Dynamics.
Research Assistant
University of British Columbia , Nov. 2021 - Apr. 2022
Contributing to a research project to solve PDEs in lithium-ion battery modeling using Physics-Informed Neural Networks (PINN).
Data Analyst Intern
CSCEC International Construction Co., LTD. , Jun. 2024 - Aug. 2024
Procurement data analysis and database maintainance.
Data Engineer Intern
TripleEagle Logistics Vancouver , May. 2022 - Aug. 2022
Intermal financial data management system development and maintainance.
Selected projects
Academic Services
- Reviewer, IEEE Intelligent Transportation Systems Conference (ITSC)
- Reviewer, IEEE Intelligent Vehicles Symposium (IV)
- Reviewer, IEEE Conference on Decision and Control (CDC)
Awards & Certifications
- INCOSE Certification
- Faculty of Science Dean’s Honor List, UBC
- Outstanding International Student Award, UBC