I completed my Bachelor of Science degree from BRAC University in 2020, majoring in Electrical and Electronic Engineering and minoring in Computer Science. I am pursuing my Master's in Computer Science and Engineering at BRAC University.
I am focused on my research work, and I am currently involved in multiple projects. My research interests include Biomedical Engineering, Artificial Intelligence, Applied Machine Learning, Deep Learning, and Natural Language Processing.
Announcement:
New Funding Updates:
I am thrilled to announce that my project, 'Brain-Computer Interface Driven Neural Rehabilitation for Motor Dysfunction Patients with Soft Robotic Gloves,' has secured funding of 55K BDT through the University Innovation Hub Program!
I am also happy to share that my project, 'Brain-Computer Interface Driven Neural Rehabilitation for Motor Dysfunction Patients with Soft Robotic Gloves,' has secured funding of 80K BDT from the Ministry of Science and Technology, Bangladesh Government!
Accepted Papers:
F. A. Nafis, N. Akib, M. Hossain, M. Z. Farasha, M. Jobayer, and M. M. H. Shawon, “CNN and Transfer Learning-Based Deep Learning Architectures for Alzheimer's Disease Detection from MRI Scan: A Comparative Analysis,” in 2024 3rd IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), *Accepted, 2024.
A. S. Das, A. H. Fahad, F. R. Sahill, et al., “Real-Time Object Detection and Distance Measurement for the Patients with Visual-Spatial Agnosia,” in 2024 3rd IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), *Accepted, 2024.
I. Mahbub, S. F. Sabik, S. T. Rezwan, A. I. Mahi, and M. M. H. Shawon, “infraCrackNet: Automated Crack Detection in Infrastructure Using U-Net with Dataset Preparation, Manual Labeling, and Segmentation Performance,” in 14th International Conference on Educational and Information Technology, *accepted, 2024.
Under Review (pre-print):
Jobayer, M., Shawon, M. M. H., Hasan, M. R., Ghosh, S., Gedeon, T., & Hossain, M. Z. (2024). Funnelnet: An end-to-end deep learning framework to monitor digital heart murmur in real-time (arXiv:2405.09570). arXiv. https://doi.org/10.48550/arXiv.2405.09570
Jobayer, M., Shawon, M. M. H., Mahmud, T., Antor, M. B. U., & Chowdhury, A. M. (2024). Attdicnn: Attentive dilated convolutional neural network for automatic sleep staging using visibility graph and force-directed layout (arXiv:2409.01962). arXiv. https://doi.org/10.48550/arXiv.2409.01962
Wara, Tayab Uddin, Ababil Hossain Fahad, Adri Shankar Das, and Md Mehedi Hasan Shawon. “A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence” arXiv, September 4, 2024. https://doi.org/10.48550/arXiv.2405.11008
M. F. S. Naznin, A. I. Faruq, M. R. Tazwar, M. Jobayer, M. M. H. Shawon, and M. R. Hasan, “CSTRL: Context-driven sequential transfer learning for abstractive radiology report summarization,” *in review, 2024. https://arxiv.org/abs/2503.05750
Md. Abrar Hasnat, Md. Mehedi Hasan Shawon, Md. Jobayer and Dr. Md. Golam Rabiul Alam, 'Interpretability of Machine Learning Models in Medical Image: Analysis A Study Using the RSNA Pneumonia Dataset', *in review, 2025. https://doi.org/10.36227/techrxiv.174163894.47259671/v1