Rayyan Azam Khan

Air University, Dow University of Health Sciences

Papers

Total Citations

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About

Rayyan Azam Khan is an emerging researcher at the intersection of biomedical engineering and artificial intelligence, with a primary focus on prosthetic control systems and emergency medical technology. His most cited work, "EMG Based Control of Individual Fingers of Robotic Hand" (2018, 16 citations), represents a significant contribution to the field of neural-machine interfaces. In this study, Khan developed a method using eight-channel surface electromyography to acquire signals from the forearm, enabling precise, individual finger control of a robotic prosthetic hand across ten subjects. This work addresses a critical challenge in prosthetics—achieving dexterous, intuitive control—and has laid groundwork for more natural bionic limbs. More recently, Khan has expanded into AI-driven emergency medicine with his 2024 narrative review on the "Multi-faceted role of artificial intelligence in cardiopulmonary resuscitation (CPR)." This forward-looking synthesis explores how machine learning can enhance CPR decision-making, real-time feedback, and outcomes. Though early in his career, Khan’s research demonstrates a clear trajectory from fundamental bio-signal processing to life-saving AI applications, positioning him as a promising voice in both rehabilitation engineering and critical care innovation.