Summary
Ye Zhang is an R&D Technical Specialist in Motion Planning & Controls with 10 years of experience applying robotics, reinforcement learning, and model predictive control to automotive ADAS systems. Based in Brighton, Michigan, he has led algorithm development and validation for lane-centering, active lane management, emergency lane keeping, and intelligent parking across suppliers and OEM-focused teams at Magna, Aptiv, and Volkswagen. His background blends rigorous academic research—a PhD in Mechanical Engineering from the University of Minnesota—with hands-on implementation, simulation, and HIL validation, enabling features to move from concept to robust production-ready code. He is fluent in control theory, optimal/MPC design, sensor estimation, and embedded software practices, and has applied statistical log analysis to correct real-world performance gaps. Beyond automotive, his research created novel wearable sensing and high-sensitivity sensors, showing a knack for inventing new measurement modalities as well as control solutions. Colleagues rely on him to bridge deep theory and practical system engineering across simulation, replay, and road-test validation.
10 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Vehicle Engineering, 3.90/4.00, Bachelor's degree, Vehicle Engineering, 3.90/4.00 at Tongji University
Robotics Software Engineer NanoDegree, Robotics, Robotics Software Engineer NanoDegree, Robotics at Udacity
University of Minnesota Twin Cities