Ekhlas Majeed Hameed
Papers
4
Total Citations
22
H-Index
3
About
Ekhlas Majeed Hameed is a control systems engineer whose research sits at the intersection of advanced robotics and intelligent optimization techniques, with a particular focus on rehabilitation robotics. Her work addresses one of biomedical engineering's most pressing challenges: developing precise, adaptive control systems for lower limb rehabilitation robots that can assist patients in recovering motor function. Hameed's most significant contributions center on applying nature-inspired optimization algorithms to enhance classical and modern control strategies. Her 2022 study on a Grey Wolf Optimization-tuned adaptive PID controller, her most cited work with 11 citations, demonstrated meaningful improvements over traditional fixed-parameter controllers. Complementing this, her research on Whale Optimization Algorithm-based Sliding Mode Controllers showcases her commitment to robust, disturbance-resistant solutions for nonlinear robotic systems, accumulating 9 citations across related publications. She has also explored Particle Swarm Optimization as an alternative tuning framework, reflecting a broad command of bio-inspired computational methods. Collectively, Hameed's work bridges theoretical control engineering and practical rehabilitation technology, offering clinically relevant insights into how intelligent controllers can improve the safety and adaptability of assistive robotic devices. Her growing citation record signals increasing recognition within the rehabilitation robotics and control systems communities.
Research Focus
Key Achievements
Top Papers
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