CV
Here is my full CV: Yilin Wang’s Resume
Education
- Ph.D. in Civil Engineering (Intelligent Transportation System), Purdue University, 2026 (expected)
- Research Area: Connected and Automated Vehicle, Cooperative Perception, Physics-informed Machine Learning, Network Operation and Control
- GPA: 3.8/4.00
- M.S. in Advanced Infrastructure System, Carnegie Mellon University, 2020
- Area: Smart City, Deep Learning, Natural Language Processing
- GPA: 3.87/4.00
- B.S. in Civil Engineering, Tongji University, 2019
- Major: Geo-technical and Underground Engineering
Work Experience
- Dec 2024 - Present: Simulation Development Engineer Intern
- SaferDrive.AI, Ann Arbor, MI
- Developed and maintained TeraSim, a city-scale traffic simulation platform for AV safety validation
- Refactored the CNDE architecture for neural network-based driving behavior model integration
- Led the San Jose GTC Demo, selected for NVIDIA CEO Jensen Huang’s GTC 2025 keynote
- Supervisor: Professor Henry Liu
- Fall 2021 - Present: Research Assistant
- Purdue University
- Research Area: Connected and Automated Vehicle, Cooperative Perception, V2X Communication
- Supervisor: Professor Yiheng Feng
- Jan 2020 - Dec 2020: Research Assistant
- Carnegie Mellon University
- Research Area: Natural Language Processing, Smart City
- Supervisor: Professor Pingbo Tang
Skills
- Programming Languages: Python, C++, MATLAB, JavaScript
- Data Science & Machine Learning: PyTorch, CUDA, Hugging Face
- Cloud Technologies: AWS
- DevOps & Version Control: Linux, Docker, Conda, GitHub
- Project Management: Jira, Slack
- Other Tools: Microsoft Office, AutoCAD, ArcGIS
Publications
Yilin Wang, Yiheng Feng* (2025). "A Cooperative Perception Based Dynamic Vehicle Routing Framework for Urban Traffic Monitoring." Transportation Research Board Annual Meeting 2026, Poster Presentation.
Hanlin Chen, Vamsi K Bandaru, Yilin Wang, Mario A Romero, Andrew Tarko, Yiheng Feng* (2024). "Cooperative Perception System for Aiding Connected and Automated Vehicle Navigation and Improving Safety." Transportation Research Record, 2678(12), 1498-1510.
Y. Wang and Y. Feng* (2024). "IDM-Follower: A Model-Informed Deep Learning Method for Car-Following Trajectory Prediction." IEEE Transactions on Intelligent Vehicles, vol. 9, no. 6, pp. 5014-5020.
Yilin Wang, Yiheng Feng* (2024). "Dynamic Routing of Connected and Automated Vehicles for Improving Network Coverage." Transportation Research Board Annual Meeting 2024, Poster Presentation.
Ya-Dong Xue, Wei Zhang, Yi-Lin Wang*, et al. (2023). "Serviceability evaluation of highway tunnels based on data mining and machine learning: A case study of continental United States." Tunneling and Underground Space Technology, Volume 142, 105418.
Talks
January 01, 2025
Poster Presentation at Transportation Research Board Annual Meeting 2026, Washington, D.C., USA
June 01, 2024
Conference Presentation at IEEE Intelligent Vehicles Symposium (IV) 2024, Jeju Island, South Korea
January 01, 2024
Poster Presentation at Transportation Research Board Annual Meeting 2024, Washington, D.C., USA
Peer Review & Service
- Transportation Research Part C: Emerging Technologies — Journal Reviewer (2024, 2025)
- Multimedia Tools and Applications — Journal Reviewer (2023-2025)
- IEEE Transaction of Intelligent Vehicle — Journal Reviewer (2024, 2025)
- Journal of Intelligent Transportation System — Journal Reviewer (2023-2025)
- IEEE Intelligent Transportation System Conference (ITSC) — Conference Reviewer (2024)
- IEEE-IV24 Workshop on Socially Interactive Autonomous Mobility — Committee Member (2024)
