Ghassan Mousa
Papers
3
Total Citations
58
H-Index
3
About
Ghassam Mousa is a leading researcher in the field of rehabilitation robotics, specializing in advanced control systems for wheelchair-mounted upper-limb exoskeletons designed to assist individuals with disabilities. His work focuses on overcoming the challenges of precise position tracking in the presence of model uncertainties and external disturbances. Mousa has made significant contributions by pioneering the application of fixed-time convergence theory to exoskeleton control, ensuring rapid and reliable system response. His most cited work (30 citations) introduces a fuzzy-based nonsingular terminal sliding mode controller with a state observer, achieving robust, chatter-free tracking. He has further advanced the field by integrating adaptive neural networks with sliding mode and backstepping control strategies, as demonstrated in his second most cited paper (22 citations). These adaptive approaches allow the exoskeleton to learn and compensate for dynamic uncertainties in real-time, enhancing safety and performance. Mousa’s research is notable for its systematic progression from theoretical development to practical implementation, directly targeting the rehabilitation needs of disabled users. His work is foundational for the next generation of intelligent, assistive robotic systems.
Research Focus
Key Achievements
Top Papers
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