Michael Meidinger

Michael Meidinger is a doctoral student and scientific assistant at the Chair of Integrated Systems within the TUM School of Computation, Information and Technology at the Technical University of Munich. His research focuses on chiplet architectures (interconnect design and smart functionalities) and reinforcement learning for runtime optimization of MPSoCs and autonomous driving systems.

• Education: B.Sc. and M.Sc. in Electrical Engineering and Information Technology (2018–2023) from TUM

He contributes to projects like the BCDC chiplet-based system and the Duckietown Lab, where he develops tools for autonomous driving research, such as DuckieVisualizer. He supervises student projects in areas including interconnect protocol enhancements, robotics, and real-time object recognition.