Mohd Shawal Jadin

Universiti Malaysia Pahang Al-Sultan Abdullah

Papers

Total Citations

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About

Mohd Shawal Jadin is a researcher specializing in biomedical engineering and assistive technology, with a particular focus on brain-computer interfaces (BCIs) and rehabilitation systems. His work centers on developing practical, non-invasive solutions to enhance mobility and quality of life for individuals with severe motor disabilities. A key contribution is his study on offline EEG-based DC motor control for wheelchair applications, which demonstrates the feasibility of using electroencephalography (EEG) signals to drive assistive devices without real-time processing constraints. This foundational research, though early in its citation impact, addresses critical challenges in translating BCI technology from laboratory settings to real-world use, such as signal noise reduction and user-friendly control paradigms. Jadin’s work is part of a broader effort to create affordable, accessible neuroprosthetics, and his publications have garnered attention within the assistive technology community. His ongoing research continues to explore the integration of machine learning with EEG signal processing, aiming to improve accuracy and response times for wheelchair navigation. By bridging engineering and clinical needs, Jadin contributes to the growing field of human-machine interaction, offering hope for enhanced independence among disabled populations.