Mahmoud Ibrahim
Papers
2
Total Citations
19
H-Index
2
About
Mahmoud Ibrahim is a leading researcher at the forefront of electric vehicle (EV) propulsion and digital twin (DT) technology. His work centers on creating high-fidelity virtual replicas of EV motors to revolutionize design, performance monitoring, and predictive maintenance. Ibrahim’s major contributions include the conceptual modelling of a permanent magnet synchronous motor digital twin, a foundational framework that enables real-time simulation and optimization of EV powertrains. He has further advanced the field by developing a dedicated digital twin service unit for fault detection in induction motors, demonstrating how sensor-driven virtual models can proactively identify mechanical and electrical anomalies. With his most-cited paper accumulating 14 citations and his work on fault detection gaining early traction (5 citations), Ibrahim is establishing a strong impact in the niche but rapidly growing domain of EV digital twins. His research is pivotal for transitioning from reactive repairs to proactive, data-driven vehicle health management, promising safer and more efficient electric mobility. Ibrahim’s achievements mark him as an emerging authority in the integration of simulation, IoT, and automotive engineering.
Research Focus
Key Achievements
Top Papers
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- 2