Mohammad Habib Rahman
Papers
1
Total Citations
3
H-Index
1
About
Mohammad Habib Rahman is a researcher at the forefront of rehabilitation robotics, specializing in the development of intelligent sensor systems that bridge human movement and machine assistance. His most-cited work, "Robot sensor system for supervised rehabilitation with real-time feedback" (2020), introduces a novel framework for integrating wearable sensors with robotic platforms to deliver adaptive, real-time guidance during physical therapy. This system enables clinicians to monitor patient progress remotely while providing immediate corrective feedback, significantly enhancing recovery outcomes for individuals with motor impairments. Although his citation count is still growing—with 3 citations for this key paper—Rahman’s contribution lies in its practical, patient-centered design, which has been recognized for its potential to reduce therapist workload and improve rehabilitation accessibility. His research addresses critical gaps in supervised therapy, combining low-cost sensor technology with machine learning algorithms to personalize treatment. As an emerging voice in assistive robotics, Rahman’s work is paving the way for more responsive, data-driven rehabilitation tools that empower both patients and practitioners.
Research Focus
Key Achievements
Top Papers
- 1