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About

Dr. Mofeed Turky Rashid is a pioneering researcher whose work spans bio-inspired robotics, biomedical signal processing, and intelligent control systems. His early career focused on understanding biological swarm dynamics, notably modeling and tracking *Artemia* populations—a foundation that led to the development of wireless underwater robots for studying collective behavior. This work, including his 2011 paper on swarm dynamics (32 citations), established his reputation in biomimetic systems. Dr. Rashid has since made significant contributions to rehabilitation robotics and human-machine interfaces. His 2019 studies on HD-sEMG signal processing introduced robust feature extraction and SVM-based gesture recognition for controlling prosthetic limbs, each garnering 19 citations. These advances enable more intuitive control of neurorehabilitation devices. In parallel, he has advanced bio-inspired underwater robotics, designing and validating concave-shaped pectoral fins for labriform-mode swimming robots. His computational fluid dynamics analyses of fin morphology (13 citations) provide foundational insights for efficient robotic fish design. Dr. Rashid’s work also includes adaptive fuzzy control for biped robots using ant colony optimization (20 citations) and Bezier curve-based navigation for mobile robots. His interdisciplinary research, spanning swarm intelligence, prosthetics, and aquatic robotics, demonstrates a consistent focus on translating biological principles into engineered solutions.