Mohamed W. Moufaddal

Egypt-Japan University of Science and Technology

Papers

Total Citations

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About

Mohamed W. Moufaddal is a pioneering researcher at the intersection of neural engineering and assistive robotics, with a primary focus on brain-computer interfaces (BCIs) for motor rehabilitation. His most cited work introduces a wireless BCI-controlled robotic arm designed specifically for individuals with Amyotrophic Lateral Sclerosis (ALS) or spinal cord injuries—a population often underserved by conventional prosthetics. By translating electroencephalography (EEG) signals into real-time robotic commands, Moufaddal’s system bypasses damaged neural pathways, offering a non-invasive, intuitive solution for restoring upper-limb function. Though his seminal 2024 paper has garnered 2 citations in its early stage, its conceptual impact is already evident in its potential to reduce caregiver dependency and improve quality of life for paralyzed patients. Moufaddal’s contribution lies not only in the technical integration of wireless EEG headsets with robotic actuators but also in his user-centered design approach, which prioritizes affordability and ease of use. His work bridges a critical gap between neuroscience research and practical, low-cost assistive technology, positioning him as an emerging voice in the field of neuroprosthetics.