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Xiaoyi Wu is a second-year PhD student in the Intelligent Transportation Systems (ITS) group at the Technical University of Denmark. His research focuses on learning-based control optimization for transportation systems, with an emphasis on tolling mechanisms and autonomous vehicle control. He also explores the integration of electric vehicles into existing transportation infrastructures. Xiaoyi is actively involved in projects that incorporate reinforcement learning techniques to improve public transportation systems and service usage insights. He collaborates with various researchers and aims to advance knowledge in his field through innovative applications of machine learning and control design.
Technical University of Denmark • Kgs. Lyngby, Denmark
Involved in research projects aimed at optimizing transportation systems using machine learning and control strategies.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.