Md. Humaun Kabir | Computer Science and Engineering | Editorial Board Member
Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University | Bangladesh
Md. Humaun Kabir is an accomplished academic in computer science and engineering whose work bridges advanced computing and biomedical intelligence. He began his academic journey in applied physics and electronic engineering at a leading national university before advancing into graduate study in the same field and later joining a prestigious Japanese institution as a doctoral research fellow. His professional experience includes serving as an assistant professor on study leave at Jamalpur Science and Technology University, where he previously held key administrative roles such as department chair and additional director of the ICT cell. His research interests span biomedical signal and image processing, bioinformatics, brain–computer interfaces, machine learning, and deep learning, with a strong record of publications in national and international venues. He possesses skills in algorithm development, data modeling, neural network design, statistical learning, digital imaging techniques, and computational intelligence. His contributions have earned recognition through academic responsibilities, research achievements, and active involvement in scientific communities. He continues to collaborate globally, contributing to interdisciplinary advancements that support healthcare analytics and intelligent systems. Overall, he is a committed researcher and educator whose work reflects dedication to scientific progress, innovation, and the development of impactful computational technologies.
Profile: Googlescholar
Featured Publications
Islam, M. R., Mojumder, M. R. H., Moshwan, R., Jannatul Islam, A. S. M., Islam, M. A., Rahman, M. S., & Kabir, M. H. (2022). Strain-Driven Optical, Electronic, and Mechanical Properties of Inorganic Halide Perovskite CsGeBr₃. ECS Journal of Solid State Science and Technology, 11(3), 033001
Kabir, M. H., Mahmood, S., Al Shiam, A., Musa Miah, A. S., Shin, J., & Molla, M. K. I. (2023). Investigating Feature Selection Techniques to Enhance the Performance of EEG-Based Motor Imagery Tasks Classification. Mathematics, 11(8), 1921.
Shin, J., Musa Miah, A. S., Kabir, M. H., Rahim, M. A., & Al Shiam, A. (2024). A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities. IEEE Access.