Gazi Abdullah Mashud
Papers
3
Total Citations
51
H-Index
2
About
Gazi Abdullah Mashud is an emerging researcher whose work sits at the dynamic intersection of robotics, rehabilitation engineering, and artificial intelligence. His scholarship focuses primarily on the development and evaluation of control techniques for rehabilitation exoskeleton robots—wearable robotic systems designed to assist individuals with motor impairments in regaining functional movement. Mashud has made notable contributions through rigorous systematic reviews that synthesize the rapidly evolving landscape of exoskeleton control methodologies, examining how precision, adaptability, and safety can be achieved in clinical and assistive contexts. A particularly significant thread of his research explores the integration of neural networks into robot-assisted rehabilitation. His work investigates how physiological signals—including surface electromyography (sEMG), EMG, and electroencephalography (EEG)—can be interpreted by intelligent systems to enable more responsive and personalized robotic assistance. This research has attracted considerable academic attention, with his most-cited paper accumulating 31 citations since 2025, reflecting strong and growing interest from the robotics and rehabilitation communities. Through his systematic reviews, Mashud provides fellow researchers and clinicians with comprehensive roadmaps of current capabilities and future directions, positioning himself as a valuable synthesizer of knowledge in an increasingly important field.
Research Focus
Key Achievements
Top Papers
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