Amad Zafar

Pusan National University, University of Lahore

Papers

Total Citations

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About

Amad Zafar’s research bridges the critical intersection of neuroscience and robotics, with a primary focus on motor rehabilitation and human-robot interaction. His work employs functional near-infrared spectroscopy (fNIRS) to map brain activity during motor execution and imagination, particularly in stroke rehabilitation contexts. In his highly cited 2017 study, Zafar demonstrated how fNIRS can track hemodynamic responses in motor cortices during robot-assisted training, providing foundational insights for brain-computer interface (BCI) design. This work has garnered 4 citations and remains a reference point for non-invasive neural monitoring in rehabilitation robotics. Zafar also contributes to robust control systems for hazardous environments, as shown in his 2021 paper on bilateral tele-operated hydraulic manipulators, which addresses trajectory tracking and force estimation for remote operations in dangerous settings. His research has direct implications for assistive technologies, neurorehabilitation, and safety-critical robotics, making him a key figure in applied neural engineering. Zafar’s ability to combine neural signal analysis with practical robotic control systems positions him as an emerging leader in developing human-centered robotic solutions for medical and industrial challenges.