Hassan Ashraf

National University of Sciences and Technology

Papers

Total Citations

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About

Hassan Ashraf is a biomedical engineer whose research focuses on the intersection of signal processing, neuromuscular diagnostics, and assistive technology. His work centers on improving the interpretation of intramuscular electromyography (iEMG) signals—electrical recordings taken directly from muscle tissue—to enhance both clinical diagnosis and the control of robotic prosthetic and rehabilitative devices. In his most cited work, "Evaluation of windowing techniques for intramuscular EMG-based diagnostic, rehabilitative and assistive devices" (2020, 24 citations), Ashraf systematically assessed how different signal windowing methods affect the accuracy and reliability of iEMG analysis. This contribution is critical for developing more responsive and precise assistive technologies, as well as for diagnosing neuromuscular disorders. By bridging signal processing theory with practical biomedical applications, Ashraf’s research helps lay the groundwork for smarter, more adaptive devices that can improve quality of life for individuals with motor impairments. His work is increasingly recognized in the fields of neural engineering and rehabilitation robotics.