Summary
Yaozhong Zhang is a research engineer with 8 years of experience specializing in connected and automated vehicles, vehicle simulation, and energy-efficient control strategies. Based at Argonne National Laboratory, he develops large-scale CAV simulators and leads data-driven studies of vehicle and traffic energy efficiency using real-world driving data. His background blends automotive engineering and computer science—MS degrees from Clemson and Georgia Tech plus Udacity nanodegrees in self-driving and deep reinforcement learning—enabling him to bridge simulation, machine learning, and control. He has hands-on experience building 3D driving simulators, ADAS algorithms, and intelligent CAV controllers, and often focuses on pragmatic energy savings that scale to fleets and traffic networks. A less obvious strength is his consistent progression from research aide to lead engineer within the same national lab, demonstrating both technical depth and institutional impact.
7 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Automotive Engineering, Master of Science - MS, Automotive Engineering at Clemson University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Nanodegree, Self-Driving Engineer, Nanodegree, Self-Driving Engineer at Udacity
Bachelor of Science - BS, Automotive Engineering, Bachelor of Science - BS, Automotive Engineering at Wuhan University of Technology