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,” Accepted in ACL Findings, 2025. https://arxiv.org/abs/2503.05750.
U. M. Muna, M. M. H. Shawon, M. Jobayer, S. Akter, and S. R. Sabuj, “SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification,” (arXiv:2504.13220). arXiv. https://doi: 10.48550/arXiv.2504.13220.
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.
I. Mahbub, S. F. Sabik, S. T. Rezwan, A. I. Mahi and M. M. Hasan Shawon, "infraCrackNet: Automated Crack Detection in Infrastructure Using U-Net with Dataset Preparation, Manual Labeling, and Segmentation Performance," 2025 14th International Conference on Educational and Information Technology (ICEIT), Guangzhou, China, 2025, pp. 21-26, doi: 10.1109/ICEIT64364.2025.10976043.
S. Wazed et al., "Deep Learning-Based Arrhythmia Detection Using Convolutional Neural Network," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: 10.1109/I2CT61223.2024.10543561.
M. M. Meshkat et al., "Analysis and Demonstration of Vision Driven Lane Changing System of Self-Driving Car in CARLA Simulator," 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499558.
A. S. Das et al., "Real-time Object Detection and Distance Measurement for the Patients with Visual-Spatial Agnosia," 2024 IEEE 3rd International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), Dhaka, Bangladesh, 2024, pp. 65-69, doi: 10.1109/RAAICON64172.2024.10928694.
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," 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2024, pp. 61-66, doi: 10.1109/BECITHCON64160.2024.10962572.
F. Y. Nipa et al., "Prosthetic Exo-Leg: A Functional Robotic Leg Suit to Assist Patients with Transfemoral Amputation," TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 954-959, doi: 10.1109/TENCON58879.2023.10322482.
M. F. Wafiq et al., "An IoT-Based Bed Fall Prediction System Using Force Sensitive Resistor," 2023 IEEE Region 10 Symposium (TENSYMP), Canberra, Australia, 2023, pp. 1-6, doi: 10.1109/TENSYMP55890.2023.10223481.
T. M. Mahim, A. Miah, A. H. M. A. Rahim, M. R. Hasan, M. M. H. Shawon and T. Mahmud, "Experimental Evaluation of the Performance: A Novel Bi-Facial PV Panel," 2023 IEEE Region 10 Symposium (TENSYMP), Canberra, Australia, 2023, pp. 1-6, doi: 10.1109/TENSYMP55890.2023.10223485.
Pre-print:
Zulkarnain, Imam Mohammad, Shayekh Bin Islam, Md Zami Al Zunaed Farabe, Md Mehedi Hasan Shawon, Jawaril Munshad Abedin, Beig Rajibul Hasan, Marsia Haque, et al. “bbOCR: An Open-Source Multi-Domain OCR Pipeline for Bengali Documents.” arXiv, August 21, 2023. https://doi.org/10.48550/arXiv.2308.10647.
M. M. Hasan Shawon, S. Akter, M. K. Islam, S. Ahmed and M. M. Rahman, "Forecasting PV Panel Output Using Prophet Time Series Machine Learning Model," 2020 IEEE REGION 10 CONFERENCE (TENCON), Osaka, Japan, 2020, pp. 1141-1144, doi: 10.1109/TENCON50793.2020.9293751.
S. Akter, M. M. H. Shawon, M. K. Islam, S. Ahmed and M. M. Rahman, "Degradation of PV Module Performance Due to Dust Accumulation on the High-rise Buildings," 2020 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE), Bhubaneswar, India, 2020, pp. 239-242, doi: 10.1109/WIECON-ECE52138.2020.9398017.
M. K. Islam, M. M. H. Shawon, S. Akter, and S. Ahmed, “Outdoor performance analysis and prediction of photovoltaic modules using machine learning algorithm,” Thesis, Brac University, 2020. Accessed: Nov. 02, 2023. [Online]. Available: http://dspace.bracu.ac.bd/xmlui/handle/10361/15727.
M. Islam, M. M. Hasan Shawon, S. Akter, A. Chowdhury, S. I. Khan and M. M. Rahman, "Performance Investigation of Poly Si and Mono Si PV Modules: A Comparative Study," 2019 International Conference on Energy and Power Engineering (ICEPE), Dhaka, Bangladesh, 2019, pp. 1-5, doi: 10.1109/CEPE.2019.8726598.