Journals
Ali, M.S., Motin, M.A., Bipro, S.S., Syfullah, M.K., Kabir, S., Kumar, D., Detection of Mental Stress from Photoplethysmography for Under-Resourced Healthcare Systems. (IEEE Sensors Journal, Published, 2025). DOI: https://doi.org/10.1109/JSEN.2025.3649586
Ali, M.S., Bipro, S.S., Motin, M.A., Kabir, S., Sharma, M., Chowdhury, M.E.H., TEANet: A Transpose-Enhanced Autoencoder Network for Wearable Stress Monitoring. (IEEE Access, Published, 2025). DOI: https://doi.org/10.1109/ACCESS.2025.3644400
Ali, M.S., Motin, M.A., Kabir, S., ReTeNet: A Transformer Encoder and Residual Encoder Network for Stress Monitoring from Wearable Device. (IEEE Signal Processing Letters, Published, 2025). https://doi.org/10.1109/LSP.2025.3607767
Motin, M.A.*, Ali, M.S.*, Bipro, S.S.*, Nuha, M.J., Hasan, A., Kabir, S., A Multi-modal Wearable Dataset for Cognitive Attention and Task-based Stress Analysis. (Elsevier Data in Brief, Published, 2025). https://doi.org/10.1016/j.dib.2025.112295 (*Jointly first author)
Bipro, S.S., Motin, M.A., Ali, M.S., Hasanuzzaman, G.K.M., Wang, S., Kabir, S., Mahmud, M., An Attention Driven Deep Learning Architecture for Stress Monitoring Using Single Channel Electrocardiogram Signal. (IEEE Transactions on Consumer Electronics, Under Review, 2025).
Conference Proceedings
International
M. S. Ali, M. Mahmud, E. S. M. El-Alfy, and M. A. Motin, A Hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory Approach for PPG-Based Stress Monitoring from Wrist-Worn Wearables. in Proc. of the 32nd International Conference on Neural Information Processing (ICONIP), Japan, 2025. (Published) https://doi.org/10.1007/978-981-95-4384-7_33
Ali, M.S., Motin, M.A., and Mahmud, M., A Dual Path Hybrid Convolutional Neural Network and Bidirectional Long-Short Term Memory Approach for PPG-Based Stress Monitoring. in Proc. 4th Muslims in ML Workshop co-located with ICML, Vancouver, British Columbia, Canada, 2025. (Published) [Online]. Available: https://openreview.net/forum?id=AeE3I9YPEs
Mim, M.R., Ali, M.S., and Motin, M.A., A Dual-Branch Convolutional Neural Network with Gated Recurrent Units Network for Enhanced Multimodal Stress Monitoring from Wearable Physiological Signals. in Proc. 5th Muslims in ML Workshop co-located with NeurIPS, San Diego, USA, 2025. (Published) [Online]. https://openreview.net/forum?id=rpFqLrnJww
Ali, M.S., Motin, M.A., and Mahmud, M., StressBVPNet: An Explainable Deep Learning Model for Stress Monitoring from BVP Signals. in Proc. 24th IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, London, UK, Accepted, 2025. (Presented and Received Best Paper Award)
Local (Bangladeshi)
Syfullah, M.K., Ali, M.S., Hossain, M.M., Federated Learning for Autism Spectrum Disorder Detection. 4th International Conference on Machine Intelligence and Emerging Technologies, Noakhali, Bangladesh, 2024 (Published) https://doi.org/10.1007/978-981-96-2721-9_10
Syfullah, M.K., Ali, M.S., Oishy, A.M., Hossain, M.S., Towards Early Dengue Diagnosis in Bangladesh: A Non-invasive Prediction Model based on Symptoms and Local Trends. 2nd International Conference on Power, Electrical, Electronics, and Industrial Applications, Rajshahi, Bangladesh, 2024 (Published) https://doi.org/10.1109/PEEIACON63629.2024.10800244
Ali, M.S., Mim, M.R., Motin, M.A. and Kabir, S., A Shallow Deep Learning Model for Stress Monitoring from Photoplethysmography Signals. in Proc. 4th IEEE International Conference on Signal Processing, Information, Communication and Systems, Rajshahi, Bangladesh , 2025. (Accepted).
Mim, M.R., Ali, M.S., and Motin, M.A., A Convolutional Neural Network with Bidirectional Gated Recurrent Units Architecture for Enhanced Stress Monitoring from Wearable Signals. in Proc. 4th IEEE International Conference on Signal Processing, Information, Communication and Systems, Rajshahi, Bangladesh , 2025. (Accepted).