Hanadi M. Gnan

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About

Hanadi M. Gnan is a rising researcher at the forefront of neural engineering and assistive robotics, specializing in Brain-Computer Interfaces (BCI) and electromyographic (EMG) signal processing. Her work bridges the critical gap between human neural intent and machine actuation, aiming to restore autonomy for individuals with motor disabilities. In her highly cited 2021 study, “Implementation of a Brain-Computer Interface for Robotic Arm Control” (30 citations), Gnan demonstrated a groundbreaking framework linking neural signals directly to robotic manipulation, showcasing how BCI technology can revolutionize control systems for paralyzed patients. Building on this, her 2022 paper, “Real Time Classification for Robotic Arm Control Based Electromyographic Signal” (23 citations), advanced prosthetic development by enabling real-time, high-accuracy classification of muscle signals. This work directly addresses the growing demand for sophisticated, responsive prostheses among amputees and paraplegics. Gnan’s contributions are pivotal in making neural control interfaces more practical and accessible, positioning her as a key innovator in the movement toward seamless human-machine collaboration. Her research not only pushes the boundaries of signal processing but also holds profound promise for enhancing quality of life in clinical rehabilitation.