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About

Denis Mosconi is a biomedical and rehabilitation engineering researcher whose work sits at the intersection of robotics, biomechanics, and motor rehabilitation. His research focuses primarily on human-exoskeleton interaction, musculoskeletal modeling, and the development of intelligent control strategies for robotic rehabilitation devices, with a particular emphasis on knee orthoses and lower-limb recovery following stroke or neuromotor injury. Mosconi's most recognized contributions include pioneering computational frameworks that integrate musculoskeletal models with active orthosis control, enabling more physiologically accurate and patient-responsive rehabilitation systems. His 2018 study on modeling and control of an active knee orthosis laid important groundwork for robot-assisted therapy, while his subsequent work on human-exoskeleton interaction models advanced the field's understanding of safe and effective user-robot coupling. His 2024 investigation into varied assistance-resistance configurations reflects a growing sophistication in tailoring exoskeleton behavior to individual patient needs. Collectively accumulating nearly 20 citations across key publications, Mosconi's work addresses one of rehabilitation medicine's most pressing challenges: restoring functional mobility to the estimated one-third of stroke survivors who face lasting disability. His research offers meaningful contributions to optimizing therapeutic outcomes through intelligent, biomechanically informed robotic systems.