Mohammed Khan

Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Mohammed Khan is a pioneering researcher at the intersection of rehabilitation robotics and cognitive neuroscience, with a primary focus on assistive technologies for stroke recovery and human augmentation. His most notable contribution is the groundbreaking study "Adaptation Robotics and Cognitive Load: Use of a Supernumerary Finger for Activities of Daily Living" (2025), which investigates how Supernumerary Robotic Fingers (SRFs) impact cognitive function during everyday tasks. This work addresses a critical gap in rehabilitation science by examining not just motor recovery, but the cognitive demands placed on users—a vital consideration given the rising global prevalence of stroke. Though early in its citation trajectory (4 citations), this study has already influenced discussions on designing intuitive, low-cognitive-load assistive devices. Khan’s research uniquely bridges robotics and neuroergonomics, offering insights that could shape future rehabilitation protocols. His work is particularly notable for its focus on unimpaired individuals as a baseline, establishing a framework for understanding how healthy brains adapt to robotic augmentation before applying these findings to clinical populations.