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Hashim Mohamed is currently an Assistant Professor at the Department of Mechanical and Aerospace Engineering at Carleton University, Ottawa, Ontario, Canada. Between August of 2019 and December of 2021 he was an Assistant Professor at the Department of Engineering & Applied Science at Thompson Rivers University (TRU), Kamloops, British Columbia, Canada. He received the Ph.D. degree in robotics and control from the Department of Electrical and Computer Engineering, Western University (UWO), London, Ontario, Canada, in 2019.
Prior to this he received the M.Sc. degree in Systems and Control Engineering from the Department of Systems Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia, and the B.Sc. degree in mechatronics from the Department of Mechanical Engineering, Helwan University (HU), Helwan, Egypt. He is a registered Professional Engineer (P.Eng.) in the province of British Columbia, Canada, and a senior member of IEEE.
- Ph.D.degree in Robotics and Control, Department of Electrical and Computer Engineering, Western University (UWO).
- MSc.degree in Systems and Control Engineering, Department of Systems Engineering, King Fahd University of Petroleum and Minerals (KFUPM).
- BSc.degree in Mechatronics, Department of Mechanical Engineering, Helwan University (HU).
- MECH 5804 – Applied Artificial Intelligence (Graduate level)
- MECH 5906 Directed Study – Vision-based Perception Robotics (Graduate level)
- AERO 4504 – Avionics Systems
- MAAE 3500 – Feedback Control Systems
The ultimate goal of my research is to develop novel technologies. I aspire to discover new ways to improve the performance of dynamical systems, in particular smart systems which include semi-automated and fully autonomous systems, such as unmanned aerial vehicles (UAVs/drones), unmanned underwater vehicles (UUVs), mobile robots, and other robotics applications. My research interests include but are not limited to
- Guidance, navigation, and control,
- Vision-aided inertial navigation systems,
- Robot localization and mapping with inertial vision systems,
- Filtering and estimation solutions: stochastic and deterministic,
- Sensor fusion,
- Distributed control of multi-agent systems,
- Artificial intelligence, optimization techniques and metaheuristic algorithms (single and multi objective),
- Deep learning tools
The complete research profile can be found in GoogleScholar