PhD
Munich Institute of Robotics and Machine Intelligence
Technical University of Munich
Georg-Brauchle-Ring 60-62, 80992 Munich
Ahmed holds a B.Eng. in Mechatronic Engineering (University of Nottingham) and a M.Sc. in Autonomous Systems (Bonn-Rhein-Sieg University of Applied Sciences). His postgraduate research focused on reinforcement learning and neuromorphic methods in robotics and he recently worked as a research assistant at KELO Robotics/Locomotec GmbH and the German Center for Neurodegenerative Diseases (DZNE) in Bonn, developing software for robot perception and medical imaging, respectively. Ahmed joined the Munich Institute of Robotics and Machine Intelligence (MIRMI) at TUM as a relAI PhD candidate in 2023, where he conducts research on safe machine learning for robot control.
Ahmed’s research interests lie mainly in the applications of machine learning to robotics, and particularly in biologically-inspired learning and computation. He hopes to investigate whether replicating biological principles could hold the key to significant advancements in robotic intelligence. A key area of his current doctoral research involves building theoretical guarantees for safety and reliability into machine learning models that are deployed on robots.
relAI Topics: Robotics & Interactive Systems