Research Associate


Picture of Ahmed Abdelrahman

M.Sc. Ahmed Abdelrahman

Technical University of Munich

Munich Institute of Robotics and Machine Intelligence (MIRMI)

Postal address

Postal:
Georg-Brauchle-Ring 60_62
80992 München

Place of employment

Munich Institute of Robotics and Machine Intelligence (MIRMI)

Work:
Georg-Brauchle-Ring 60_62(2941)/I
80992 München

Date Position Employer Location
Sept, 2023 - present Research Associate Munich Institute of Robotics and Machine Intelligence (MIRMI) Munich, Germany
Oct, 2021 - Aug, 2023 Software developer German Center for Neurodegenerative Diseases (Deep-MI Group) Bonn, Germany
May, 2020 - Aug, 2021 Software and hardware developer Locomotec GmbH / KELO Robotics GmbH Sankt Augustin, Germany
Jun, 2019 - Apr, 2020 Student research assistant (ROPOD EU Project) Bonn-Rhein-Sieg University of Applied Sciences (H-BRS) Sankt Augustin, Germany

Date Degree Institution Thesis Title
2022 M.Sc. in Autonomous Systems Bonn-Rhein-Sieg University of Applied Sciences (H-BRS) A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
2015 B.Eng. in Mechatronic Engineering University of Nottingham (UNMC) Active Engine Mount Robust Control Design

[1] A. F. Abdelrahman, A. Mitrevski and P. G. Plöger, "Context-Aware Task Execution Using Apprenticeship Learning", 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 1329-1335.
[2] A. F. Abdelrahman, “Incorporating Contextual Knowledge into Human-robot Collaborative Task Execution” (Tech. Rep.), Bonn-Rhein-Sieg University of Applied Sciences, Department of Computer Science, 2020. Accessed Oct. 8, 2022. [Online]. Available: https://doi.org/10.18418/978-3-96043-080-3
[3] A. Mitrevski, A. F. Abdelrahman, A. Narasimamurthy, and P. G. Plöger, "On the Diagnosability of Actions Performed by Contemporary Robotic Systems", 31st International Workshop on Principles of Diagnosis (DX'20), 2020.

Date Award/Honour From
2023 Bonn-Rhein-Sieg Sponsorship Award (Master's Thesis) Hochschulgesellschaft Bonn-Rhein-Sieg
2023 AFCEA Bonn Studienpreis 2023 (Master's Thesis, 1st place) AFCEA Bonn e.V.
2019 DAAD Matching Funds Scholarship Bonn-Rhein-Sieg University of Applied Sciences (H-BRS)
2015 Nottingham Advantage Award University of Nottingham (UNMC)

  • Applications of machine learning in robotics
  • Biologically-inspired learning and computation
  • Neuromorphic methods (incl. spiking neural networks and event-based vision)
  • Reinforcement learning