Tauheed Khan Mohd

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About

Tauheed Khan Mohd is a researcher whose work sits at the dynamic intersection of human-machine interaction, multi-modal data fusion, and robotic control systems. His research addresses one of the most compelling challenges in modern robotics: developing interaction systems that closely mirror natural human-to-human communication. Through his survey on multi-modal data fusion in human-machine interaction for robotic applications (2022, 10 citations), Mohd has provided the research community with a comprehensive synthesis of emerging methodologies and directions in this rapidly evolving field. His earlier work on fusing voice and electromyography (EMG) data for robotic control (2017, 4 citations) demonstrated a practical and innovative approach to leveraging wearable technology, combining physiological and muscular signals to enable more intuitive and responsive machine control. This foundational contribution highlighted the potential of integrating diverse sensory inputs to bridge the gap between human intention and robotic execution. Mohd's body of work reflects a consistent commitment to advancing wearable electronics and intelligent interaction frameworks, making his research particularly relevant for students and engineers working on next-generation assistive robotics, prosthetics, and human-centered automation systems.