S M Saiful Islam Badhon

Research Interests

Machine learning, health informatics, data science, and explainable AI.

Publications

Current Research:

Badhon, S. M. S. I., et al. “Temporal Concept Tracing: Interpretable Deep Learning for ICU Acute Kidney Injury Prediction.” AAAI Fall Symposium, 2025.
Badhon, S. M. S. I., et al. “RenalTransLSTM: Multi-Horizon Prediction of Acute Kidney Injury in ICU Patients Using a Hybrid LSTM-Transformer Architecture”, In Review.
Badhon, S. M. S. I., et al. “Explainable AI for Skin Disease Classification Using Grad-CAM and Transfer Learning to Identify Contours," Digital Health.
Badhon, S. M. S. I., et al., “Low-Resource Diabetic Retinopathy Screening via AUM-ST with Vision Transformer Networks”, In Review.

Published Research:

Journal Articles:
1. Badhon, S. M. S. I., Khushbu, S. A., Shaqib, S. M., Ali, M. A., Anik, A. H., & Hossain, K. S. M. T. Explainable AI for skin disease classification using gradient-weighted class activation mapping and transfer learning in digital health to identify contours. Digital Health, 11, 20552076251404523. (2025)

2. Akash, R. S., Islam, R., Badhon, S. M. S. I., & Hossain, K. S. M. T. CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities. Digital Health, 10, 20552076241295440. (2024)

3. Jidan, O. J., Susmoy, P., Roy, A., Khushbu, S. A., Islam, M., & Badhon, S. M. S. I. A comprehensive study of DCNN-based transfer learning for human eye cataract detection. International Journal of Advanced Computer Science and Applications, 14(6). (2023)

Conference Papers:
4. Badhon, S. M. S. I., Bozdag, S., Adibuzzaman, M., Cleveland, A. D., Ding, J., et al. Temporal Concept Tracing: Making Deep Learning Predictions Interpretable and Actionable for ICU Acute Kidney Injury Prevention. AAAI Fall Symposium Series (FSS-25), 7(1), 448-455. (2025)

5. Masum, A. K. M., Badhon, N., Badhon, S. M. S. I., Ria, N. J., Abujar, S., Syed, M. M., et al. Comparative evaluation of transfer learning for classification of brain tumor using MRI. International Conference on Machine Learning and Applications (ICMLA). (2023)

6. Topu, T. A., Siddique, S., Masum, A. K. M., Khushbu, S. A., Badhon, S. M. S. I., & Abujar, S. Bengali continuous speech voice-based gender classification. International Conference on Computing, Communication and Networking Technologies (ICCCNT). (2021)

7. Abujar, S., Badhon, S. M. S. I., & Duraisamy, P. Handwritten text recognition for non-Latin languages using deep learning (Bangla). International Conference on Computing, Communication and Networking Technologies (ICCCNT). (2021)

8. Ria, N. J., Badhon, S. M. S. I., Khushbu, S. A., Akter, S., & Hossain, S. A. State-of-the-art research in edible and poisonous mushroom recognition. International Conference on Computing, Communication and Networking Technologies (ICCCNT). (2021)

9. Badhon, S. M. S. I., Rahaman, M. H., Rupon, F. R., & Abujar, S. State-of-the-art research in Bengali speech recognition. International Conference on Computing, Communication and Networking Technologies (ICCCNT). (2020)

10. Badhon, S. M. S. I., Rahaman, M. H., & Rupon, F. R. A machine learning approach to automating Bengali voice-based gender classification. International Conference on System Modeling and Advancement in Research Trends (SMART). (2019)

Book Chapters:
11. Badhon, S. M. S. I., Rupon, F. R., Rahaman, M. H., & Abujar, S. A language-independent speech data collection and preprocessing technique. Emerging Technologies in Data Mining and Information Security. (2021)

12. Badhon, S. M. S. I., Rahaman, H., Rupon, F. R., & Abujar, S. Bengali accent classification from speech using machine learning and deep learning techniques. Soft Computing Techniques and Applications. (2020)