Muayed S. Al‐Huseiny
Papers
4
Total Citations
22
H-Index
3
About
Muayed S. Al-Huseiny is a control systems engineer and researcher whose work sits at the intersection of advanced robotics, intelligent control theory, and rehabilitation engineering. His research focuses primarily on the design and optimization of sophisticated controllers for lower limb rehabilitation robots — systems that hold transformative potential for patients recovering from stroke, injury, or neurological disorders. Al-Huseiny has made notable contributions by applying nature-inspired metaheuristic optimization algorithms, including the Grey Wolf Optimization Algorithm and the Whale Optimization Algorithm, to tune and enhance both adaptive PID and Sliding Mode Controllers (SMCs). His 2022 work on the Modified Adaptive PID controller using Grey Wolf Optimization has garnered 11 citations, establishing it as his most impactful contribution to date. By addressing the well-known limitations of traditional fixed-parameter PID controllers and the chattering problem inherent in SMCs, his research meaningfully advances the precision and robustness of assistive robotic systems. Collectively accumulating over 20 citations across his publications, Al-Huseiny represents an emerging voice in intelligent control design for medical robotics, with work relevant to engineers, clinicians, and rehabilitation technology developers alike.
Research Focus
Key Achievements
Top Papers
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