Felix Rempe

Felix Rempe is a Rudolf Diesel Industry Fellow at the Technical University of Munich Institute for Advanced Study (TUM-IAS), affiliated with the BMW Group in the field of Autonomous Driving. He holds a PhD in Computational Science and Engineering from TU Munich, awarded summa cum laude in 2018, and an M.Sc. in Mechatronics from DHBW Stuttgart in 2014 with Honours. His research focuses on data-driven approaches to traffic engineering and control, leveraging machine learning and sensor data from vehicles for real-time traffic state estimation and prediction.

His work explores the intersection of mobility systems and artificial intelligence, particularly in the domains of traffic flow theory and digital twin development for transportation infrastructure. Felix’s publications highlight advancements in data fusion techniques, deep learning architectures, and statistical modeling applied to autonomous driving and urban mobility challenges.

• 2018: PhD thesis awarded summa cum laude
• 2014: M.Sc. with Honours award for completing the Honour’s track at TUM
• 2012: BayLat grant for study exchange program Latin America