Md. Tariq Hasan

Papers

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About

Md. Tariq Hasan is a researcher advancing the frontiers of biomedical engineering and assistive robotics. His primary research areas include surface electromyography (sEMG) signal processing, human-machine interaction, and computer vision applications for assistive devices. Hasan’s most significant contribution lies in his work on finger movement classification, where he developed novel methods for extracting statistical and frequency features from sEMG signals. His 2019 paper on this topic, which has garnered 15 citations, provides foundational techniques for building more natural and responsive prosthetic limbs, aiming to replicate the dexterity of human hand gestures. In a more recent applied project, Hasan designed a smart, human-following baby stroller using computer vision, addressing mobility challenges for caregivers, particularly the elderly. This work, though early in its citation impact, demonstrates his commitment to creating practical, user-centered technologies. Through his research, Hasan bridges the gap between complex biomedical signal analysis and real-world assistive solutions, contributing to the development of intuitive prostheses and intelligent mobility aids that enhance quality of life.