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Muhammad Sajid Ali is currently a Ph.D. candidate at TUM working on dynamic fleet management for Autonomous Mobilty-on-Demand systems. He also works for the CiLoCharging project that deals with the optimized integration of charging, logistic, energy and traffic management for the use of electric trucks in logistics depots. He has a masters in Simulation Sciences from RWTH Aachen University. He has earlier worked as an engineer at Robert Bosch Engineering and Business Solution Pvt. Ltd., Bangalore after his bachelors in mechanical engineering from MSRIT, Bangalore. His research insterests include simulation, optimization, machine learning and deep reinforcement learning.
Address: Institut für Informatik 6 Technische Universität München
Schleißheimer Straße 90A, 85748 Garching bei München
Office Hours: By email
M. Harth, M. S. Ali, R. Kates and K. Bogenberger, "Data-Driven Modelling of Car-Following Behavior in the Approach of Signalized Urban Intersections," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 1721-1728, doi: 10.1109/ITSC48978.2021.9565032. (Link)