Md Mahafuzur Rahaman Khan
University of Wisconsin–Milwaukee, Khulna University of Engineering and Technology
Papers
11
Total Citations
111
H-Index
6
About
Md Mahafuzur Rahaman Khan is a robotics researcher specializing in rehabilitation and assistive technologies, with a focus on upper limb dysfunction recovery. His work integrates Industrial Internet of Things (IIoT), digital twins, and mixed reality to create intelligent, interactive telerehabilitation systems. His most cited paper, "Development of a Robot-Assisted Telerehabilitation System With Integrated IIoT and Digital Twin" (2023, 36 citations), pioneers a framework that enables remote, data-driven therapy for post-stroke patients. Khan also developed the iTbot, an end-effector therapeutic robot with sliding mode control for precise, non-linear rehabilitation (14 citations), and an interactive 5DOF robotic arm for intuitive telerehabilitation (21 citations). Beyond upper limb therapy, he has contributed to assistive daily living with a three-finger adaptive robotic gripper (13 citations) and collaborative robotics via a mixed reality control framework (7 citations). His vision-based object detection system (6 citations) enhances assistive robots’ manipulation in 3D environments. With over 100 total citations across his publications, Khan’s work bridges robotics, telemedicine, and human-robot interaction, offering scalable solutions for home-based and clinical rehabilitation. His innovations hold promise for reducing therapist burden and improving patient outcomes globally.
Research Focus
Key Achievements
Top Papers
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- 2Interactive IIoT-Based 5DOF Robotic Arm for Upper Limb Telerehabilitation21 citations · 2022
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- 7Robotic devices for upper limb rehabilitation: A review4 citations · 2023
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