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

Key Achievements

4
H-Index
4
Papers
39
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
COMPLIANCE CONTROL OF ROBOTIC WALK ASSIST DEVICE VIA INTEGRAL SLIDING MODE CONTROL
16 citations · 2019
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Engineering and Technology Peshawar, King Faisal University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago