Ayman S. Abdel‐Khalik
Papers
3
Total Citations
19
H-Index
2
About
Ayman S. Abdel‐Khalik is a prolific researcher whose work spans electrical machine design, control systems, and biomedical engineering. His key contributions lie in the analysis and modeling of specialized electric machines, particularly mixed pole machines that can simultaneously deliver electromechanical torque and rotor electric power to a shaft-mounted load. His 2009 paper on this topic, with 11 citations, established foundational steady-state performance and stability models for this novel operational mode. In the domain of robotics and control, Abdel‐Khalik has advanced position control for industrial manipulators, demonstrating the effectiveness of fractional-order PID controllers tuned via particle swarm optimization (2019, 6 citations). More recently, he has ventured into brain-computer interfaces, exploring deep learning techniques for EEG-based robot control (2022, 2 citations). His work bridges theoretical modeling with practical applications, from industrial automation to assistive technologies. With a career marked by innovation in both conventional and emerging fields, Abdel‐Khalik continues to influence students and researchers interested in the intersection of electromechanical systems, intelligent control, and neural interfaces.
Research Focus
Key Achievements
Top Papers
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