Basic Info
Name: Rongyao Wang (Nickname: Tony)
Degree: Master of Science in Mechanical Engineering at Clemson University
Current Title: Graduate Research Assistant at Clemson CRA Lab
Ph.D. Research: Mixed Reality Development in human-autonomous-vehicle-in-the-loop traffic (2021 Sep - Now)
Master Research: Autonomous vehicle motion control and planning (2019 Aug - 2021 Aug)
Industry Experience: Autonomous Driving Simulation Software Developer at Stellantis USA (2022 April - 2023 April)
Skills (**: proficient, *: basic)
Programming: Python**, MATLAB**, C#** , C++*, bash script**, LabVIEW*, Arduino*
Software package and platform: ROS**, Pytorch**, Numpy**, CVXPY**, CasDAi**, Socket Programming +**, Google Protobuf**, Docker*
Industry Software: SolidWorks**, ANSYS**, Unity**
Links
Rongyao Wang, Jihun Han, Tyler Ard, Dominik A. Karbowski, Ardalan Vahidi, Yunyi Jia, Modeling and Experimental Validations of Human Driver Controls under Advisory Speed Guidance in Connected Mixed Traffic, 2026 American Control Conference
RongyaoWang, Prakhar Gupta, Tyler Ard, Jihun Han, Dominik A. Karbowski, Ardalan Vahidi, Yunyi Jia, MR-HVIL: A Mixed-Reality-Based Human–Vehicle-In-the-Loop On-Road Validation Platform for Mixed Traffic Testing, IEEE Transactions on Intelligent Transportation Systems
Rongyao Wang, Tyler Ard, Felipe Augusto de Souza, Krishna Murthy Gurumurthy, Joshua A. Auld, Ardalan Vahidi, Yunyi Jia, A High Computational-Efficient Method to Integrate Energy-Saving Connected Automated Vehicles in Large-Scale Traffic Simulation, Submitted for presentation at the 105th Transportation Research Board (TRB) Annual Meeting, January 2026
Viranjan Bhattacharyya, Tyler Ard, Rongyao Wang, Ardalan Vahidi, Yunyi Jia, Jihun Han, Energy Efficient Automated Driving as a GNEP: Vehicle-in-the-loop Experiments
Jihun Han, Tyler Ard, Prakhar Gupta, Rongyao Wang, Ardalan Vahidi, Yunyi Jia, Dominik Karbowski, “Human Driver Interaction with An Eco-Speed Advisory System in Connected Vehicles: Simulation and Experimental Results,” Proceedings of Transportation Research Board, 2024. [Winner, Best Paper Award, Road User Measurement and Evaluation (ACH50) Committee]
Prakhar Gupta, Rongyao Wang, Tyler Ard, Jihun Han, Dominik Karbowski, Ardalan Vahidi, Yunyi Jia, An X-in-the-Loop (XIL) Testing Framework for Validation of Connected and Autonomous Vehicles
Rongyao Wang, Yiqiang Han, Umesh Vaidya, Deep Koopman Data-Driven Optimal Control Framework for Autonomous Racing
Wenjian Hao, Rongyao Wang, Alexander Krolicki, Yiqiang Han, Cell A* for Navigation of Unmanned Aerial Vehicles in Partially-known Environments: arXiv:2009.07404
Akshatha Ramesh, Dhananjay Nikam, Venkat Narayanan Balachandran, Longxiang Guo, Rongyao Wang, Leo Hu, Gurcan Comert, Yunyi Jia, Cloud-based collaborative road-damage monitoring with deep learning and smartphones
Master Research Thesis: Data-Driven System Identification and Optimal Control Framework for Grand-Prix Style Autonomous Racing