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About

Samina Rafique is a researcher specializing in biomechanical modeling, human motion control, and neuro-fuzzy systems, with a particular focus on the sit-to-stand (STS) motion—a critical indicator of physical independence and well-being. Her major contributions lie in developing innovative control frameworks that leverage head position tracking and multisensory feedback to synthesize and regulate STS motion, bridging clinical evidence with engineering solutions. Her most-cited work, "Neuro-fuzzy control of sit-to-stand motion using head position tracking" (8 citations), proposes a biomechanical-human central nervous system model that uses task-oriented encoding to enhance motion synthesis. Another key study, "Cartesian Control of Sit-to-Stand Motion Using Head Position Feedback" (5 citations), evaluates clinical hypotheses on variables influencing STS execution. Rafique’s research integrates robust control theory and reduced-order measurements, as seen in her 2018 paper (4 citations), and employs simulation tools like SimMechanics (3 citations) to validate physiologically relevant motions. Her work has significant implications for rehabilitation robotics and assistive technologies, offering practical pathways to improve mobility in individuals with motor impairments. With a growing citation impact, Rafique is advancing the intersection of biomechanics and control systems, making her a notable figure in human motion analysis.