Papers
15
Total Citations
270
H-Index
9
About
Moiz Khan is a biomedical engineer and rehabilitation robotics researcher whose work sits at the intersection of motor learning, assistive technology, and neuromotor rehabilitation. His research focuses on developing and validating cable-driven robotic systems designed to restore postural control, seated stability, and standing function in individuals with neurological conditions including cerebral palsy, spinal cord injury, and stroke. Khan's most significant contributions center on the Trunk Support Trainer (TruST) and the Robotic Upright Stand Trainer (RobUST), innovative platforms that apply precisely controlled external forces to help patients safely expand their postural workspace and rebuild motor coordination. His 2020 proof-of-concept study applying TruST to children with cerebral palsy (37 citations) demonstrated meaningful gains in functional independence for a population with limited rehabilitation options. Complementary work on the Stand Trainer and Tethered Pelvic Assist Device (A-TPAD) has advanced our understanding of gait asymmetry correction and walking effort reduction in stroke survivors. Across more than ten publications accumulating over 230 citations, Khan has consistently explored both assist-as-needed and error-augmentation training paradigms, contributing important nuance to how robotic guidance should be structured for lasting motor learning. His body of work represents a rigorous, patient-centered approach to translating robotics into meaningful clinical rehabilitation tools.
Research Focus
Key Achievements
Top Papers
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- 3Enhancing Seated Stability Using Trunk Support Trainer (TruST)32 citations · 2017
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- 10Trunk Rehabilitation Using Cable-Driven Robotic Systems9 citations · 2019