Fayez F. M. El-Sousy
Papers
5
Total Citations
95
H-Index
5
About
Dr. Fayez F. M. El-Sousy is a leading researcher in advanced control systems, specializing in rehabilitation robotics, nonlinear dynamics, and intelligent automation. His primary contributions lie in developing robust, adaptive control strategies for complex robotic systems, particularly exoskeleton robots designed to assist individuals with disabilities. Dr. El-Sousy has pioneered the use of fuzzy logic, neural networks, and sliding mode control to achieve fixed-time and finite-time tracking, even under significant external disturbances and model uncertainties. His work on wheelchair upper-limb exoskeletons, such as the "Fuzzy-Based Fixed-Time Nonsingular Tracker" (30 citations) and the "Adaptive Neural Network-Based Fixed-Time Tracking Controller" (22 citations), directly addresses the critical need for precise, safe, and responsive rehabilitation devices. Beyond medical robotics, he has advanced the control of cable-driven parallel robots and quadrotor UAVs, as seen in his work on disturbance observers for perturbed flight (11 citations). With a consistent focus on real-world applicability, Dr. El-Sousy’s research bridges the gap between theoretical control theory and practical, life-changing technologies, making him a key figure in the future of assistive and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Adaptive Fuzzy Control of a Cable-Driven Parallel Robot26 citations · 2022
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