Xiao Wang is a Senior Algorithm Engineer specializing in Control Systems at Plus since April 2024, with prior experience as an Algorithm Engineer in the same field. Between January 2019 and May 2023, Xiao served as a Research Associate at the Technical University of Munich, focusing on Safe and Rule-aware Reinforcement Learning for Autonomous Driving. A Master's thesis project at fortiss involved developing generative methods for learning human driving behaviors through Generative Adversarial Imitation Learning. Previous internships include work at Dassault Systèmes, where contributions involved modeling and parameter optimization of systems and multi-body simulations. Academic qualifications include a Dr.-Ing in Computer Science from the Technical University of Munich, a Master of Science in Mechanical Engineering, and a Bachelor of Engineering in Vehicle Engineering from Tongji University.
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