Ubaidullah Mohammad

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About

Ubaidullah Mohammad is a researcher at the intersection of biomedical engineering, rehabilitation robotics, and cloud-based healthcare systems. His work focuses on developing innovative, technology-driven solutions for clinical training and patient care, particularly in the domain of neurological rehabilitation. His most notable contribution is the system-level design of a cloud-based training device for upper limb spasticity rehabilitation, a robotic part-task trainer that leverages clinical data stored in a cloud database. This system enables pre-clinical training for medical personnel, allowing them to practice evaluating spasticity using a modified assessment scale in a controlled, repeatable environment. With 3 citations, this foundational work has laid the groundwork for integrating cloud computing with robotic rehabilitation tools, addressing a critical need for accessible, data-driven training in physical medicine. Mohammad’s research is significant for its practical approach to bridging the gap between engineering design and clinical application, offering a scalable model for remote training and assessment. His achievements highlight a commitment to improving rehabilitation outcomes through smart, connected devices, making him a valuable contributor to the evolving field of assistive and rehabilitative technologies.