Hassan Abdalla

University of East London, De Montfort University

Papers

Total Citations

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About

Hassan Abdalla is a researcher whose work spans the frontiers of human motor control and intelligent robotic systems. His key research areas include neuromuscular coordination, rehabilitation robotics, and design-for-automation methodologies. Abdalla’s major contributions are twofold. In the field of motor adaptation, he pioneered the use of high-frequency intermuscular coherence (IMC) to reveal how the brain orchestrates co-contraction of multiple arm muscles during force-field learning—a finding with implications for neurorehabilitation and prosthetic control. In robotics, he developed a cost-effective, lightweight unipolar electroadhesion pad technology that enables wall-climbing robots to adhere to vertical surfaces, advancing practical applications in inspection and maintenance. He also created an intelligent knowledge-based system for design-for-automation, integrating early cost modeling into concurrent engineering. His most cited works—including the 2017 IMC study and the 2006 knowledge-based reasoning system—each have accrued 23 citations, demonstrating sustained impact across both neuroscience and engineering communities. Abdalla’s ability to bridge fundamental motor control science with applied robotic design marks him as a versatile and innovative contributor to these intersecting fields.