Papers
4
Total Citations
39
H-Index
4
About
Kamran Shah is a biomedical and rehabilitation robotics researcher whose work sits at the intersection of assistive technology, human-machine interfaces, and intelligent control systems. His research primarily focuses on developing affordable, accessible solutions for individuals with physical disabilities, with a particular emphasis on upper limb prosthetics and robotic walking assistance. Shah's most significant contributions center on force myography (FMG) as a practical alternative to surface electromyography for controlling bio-robotic prosthetic devices. Through a series of increasingly sophisticated studies, he developed wearable FMG-based armbands integrating force-sensitive resistors capable of accurately classifying upper limb gestures — work that has collectively garnered nearly 23 citations since 2022. His 2019 research on compliance control of robotic walk assist devices using integral sliding mode control, his most-cited work with 16 citations, addressed critical real-world barriers including affordability, user trust, and safety — challenges particularly relevant to low-income settings like Pakistan. What distinguishes Shah's research is its dual commitment to technical innovation and social accessibility. By designing systems that are both high-performing and practically deployable, his work meaningfully advances rehabilitation engineering for underserved populations, making him a notable emerging voice in assistive robotics and prosthetics research.
Research Focus
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