• MSc in Computer Science & Engineering, Jagannath University, Dhaka, Bangladesh.
• BSc in Computer Science & Engineering, Jagannath University, Dhaka, Bangladesh.

1.  (2021)  NST Research Fellowship

National Science & Technology Ministry, Bangladesh

2. (2025) Special Research Grant

National Science & Technology Ministry, Bangladesh

Conference Papers:

1. F. Hossain, M. Akter and M. N. Uddin, "Cyber Attack Detection Model (CADM) Based on Machine Learning Approach," 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), DHAKA, Bangladesh, 2021, pp. 567-572, doi: 10.1109/ICREST51555.2021.9331094.
2. F. Hossain, M. N. Uddin and R. K. Halder, "Analysis of Optimized Machine Learning and Deep Learning Techniques for Spam Detection," 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2021, pp. 1-7, doi: 10.1109/IEMTRONICS52119.2021.9422508.
3. F. Hossain, M. Uddin and R. Halder, "An Ensemble Method-Based Machine Learning Approach Using Text Mining to Identify Semantic Fake News", Lecture Notes on Data Engineering and Communications Technologies, pp. 733-744, 2021. Available: 10.1007/978-981-16-6636-0_55.
4. F. Hossain, L. Islam and M. N. Uddin, " PhishRescue: A Stacked Ensemble Model to Identify Phishing Website Using Lexical Features," accepted for presentation at the fifth International Conference of Computer and Informatics Engineering (The 5th IC2IE) and for publication in IEEE Xplore.
5. Murshid, M., Uddin, M.N. and Hossain, F. (2023) ‘Stackedphish: A stacked ensemble framework for identification of phishing website’, 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) [Preprint]. doi:10.1109/wiecon-ece60392.2023.10456518.
6. Bello, A., Farid, F. and Hossain, F. (2024) ‘An assessment of the cyber security challenges and issues associated with Cyber-Physical Power Systems’, Proceedings of the Second International Conference on Advances in Computing Research (ACR’24), pp. 318–333. doi:10.1007/978-3-031-56950-0_27.

7. Fahima Hossain, Palash Saha, Ismail Hossain Adnan, and Mashiur Rahman, "Leveraging NLP and ML for Sentiment Analysis of In-formal Bangla Text: A Social Media Comment Analysis Tool for Page Owners", accepted for oral presentation in ICDMIS 2024 and publication in Springer LNNS series.

8. Fahima Hossain, Palash Saha, Moshiur Rahman, and Mumtahina Mehjabin, "Integrating IoT and Machine Learning for Real-Time Disease Prediction Through Air Quality Monitoring ", accepted for oral presentation in ICDMIS 2024 and publication in Springer LNNS series.

9. Fahima Hossain, Palash Saha, Musa Khan, and Md. Hanjala, " Deep Reinforcement Learning for Enhanced Stock Market Prediction with Fine-tuned Technical Indicators", accepted for poster presentation in International Conference on Computing, Applications and Systems (COMPAS) and publication in IEEE Xplore.

10. Farid, F., Bello, A., Ahamed, F., Hossain, F., Sabrina, F., & Sohail, S. (2024). AI technologies in Reducing Hospital Readmission for Chronic Diseases: A Recommended Framework. 2024 IEEE International Conference on Future Machine Learning and Data Science (FMLDS), 63–68. https://doi.org/10.1109/fmlds63805.2024.00022

11. Saha, P., Hossain, F., Shuvo, R., Hossain, N., Asif, M., & Saha, A. (2025, July 31). Truthshield: A machine learning approach to fake news detection. 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 1–6. https://doi.org/10.1109/qpain66474.2025.11172113

12. Saha, A., Shuvo, M. R. H., Majumder, S., & Hossain, F. (2025, July 31–August 2). Blockchain-driven identity management for IoT: Enhancing security and scalability with multi-factor authentication. 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). IEEE. https://doi.org/10.1109/QPAIN66474.2025.11172185

13. Hossain, F., Datta, A., & Saha, A. (2026, January 29–31). Segmentation-driven deep learning for explainable and automated vocal fold disorder classification accepted for oral presentation at 2026 IEEE International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh.

14. Hossain, F., Akter, S., Aich, E., Akter, M. R., & Datta, A. (2026, January 29–31). Clinically interpretable deep learning for genomic-based glioma subtyping using SHAP accepted for oral presentation at 2026 IEEE International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh.

15. Supty, T. F., Hossain, F., Aich, E., Datta, A., & Tanim, M. S. H. (2026, May). A two-stage explainable framework for infant cry classification with RL-based feature fusion accepted for oral presentation at 11th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2026), Thailand.

Journal Papers:

1. Hossain, F., Halder, R. K., & Uddin, M. N. (2025a). An integrated machine learning based adaptive error minimization framework for alzheimer’s stage identification. Intelligence-Based Medicine, 100243. https://doi.org/10.1016/j.ibmed.2025.100243

2. Halder, R.K.; Uddin, M.N.; Uddin, M.A.; Aryal, S.; Islam, M.A.; Hossain, F.; Jahan, N.; Khraisat, A.; Alazab, A. A Grid Search-Based Multilayer Dynamic Ensemble System to Identify DNA N4—Methylcytosine Using Deep Learning Approach. Genes 2023, 14, 582. https://doi.org/10.3390/genes14030582.

3. Azad, M. M., Hossain, M. I., Hossain, F., Amin, M. B., Karim, M. R., Imam, H., Hossain, M. A., Oláh, J. (2023). Impact of facebook in social and economic aspects on the students of Hamdard University Bangladesh. Journal of Hunan University Natural Sciences, 50(2). https://doi.org/10.55463/issn.1674- 2974.50.2.18.

4. Rahaman, M. A., Hossain, F., Mahmud, H., Sabbir, M. H., & Hasan, M. M. (2023). Classification and Evaluation of Free-Hand Sketches Using Image Processing and Deep Learning Techniques. International Journal of Artificial Intelligence and Expert Systems (IJAE), 12(1), 1–16.

5. Azad, M. M., Hossain, F., Hossain, Z., Hosen, M. S., Badhan, A. E., & Yesmin, S. (2023). Detection of multiple diseases from chest X-ray using machine learning and deep learning approaches. Journal of Hunan University Natural Sciences, 50(4). https://doi.org/10.55463/issn.1674-2974.50.4.23.

6. Hossain, F., Walid, Md. A. A., Akter, R., Galib, S. M. S., & Azad, M. M. (2023). Early Prediction of Epileptic Seizure Using EEG Spectral Features and Machine Learning Approaches. International Journal of Electrical and Computer Engineering (IJECE), 42(5), 113–122. https://doi.org/10.17605/OSF.IO/GQFVH.

7. Hossain, F., Jahan, N. and Abadin, J. (2023) ‘SENTIMENT ANALYSIS OF BANGLA-ENGLISH CODE-MIXED AND TRANSLITERATED SOCIAL MEDIA COMMENTS USING MACHINE LEARNING’, Journal of Tianjin University Science and Technology, 56(11), pp. 1–13.

8. Fahima Hossain, Abu Siddik Suman, Sunzida Islam, “Web Server Log Anomaly Detection with Machine Learning for Time Series Dataset" has been accepted for publication in the International Journal of Advanced Computer Science and Applications (IJACSA) - November 2023.

9. Hossain, F., & Tanim, M. S. H. (2026). IoT-enabled digital twin model for real-time agricultural field monitoring. Journal of Future Sustainability, 6(2), 123–136. https://doi.org/10.5267/j.jfs.2026.3.005.

10. Hossain, F., Saha, A., Mim, R. H., & Prodhan, S. (2026). Enhancing Parkinson's disease prediction: A multi-layer model integrating random forest, XGBoost, and SVM. Healthcare Engineering, 2(3), 129–140. https://doi.org/10.5267/j.he.2026.4.001

11. Hossain, F., Sumon, A. S., & Hossain, M. M. (2026). Automated stress classification using machine learning: A feature engineering perspective. Healthcare Engineering, 2(4), 141–154. https://doi.org/10.5267/j.he.2026.4.002

1. Automatic Car Number Plate Detection & Character Recognition Using Transfer Learning & OCR filtering

Student: Mehedi Hasan (ID: 315181016) & Mahadi Hassan Shova (ID: 315181027)

Batch: 14th 

2. Epileptic Seizure Detection Using Machine Learning Approaches

Student: Rokeya Akter (ID: 315182004)

Batch: 15th 

3. Detection of Multiple Diseases from Chest X-Ray Using Machine Learning and Deep Learning Approaches

Student: Sabina Yesmin (ID: 315182005) & Azadia Yasmin Badhan (ID: 315182010)

Batch: 15th 

4. Web Server Log Anomaly Detection with Machine Learning for Time Series Dataset

Student: Sunzida Islam (ID: 315191005) & Abu Siddik Sumon (ID: 315191020)

Batch: 16th 

5. Sentiment Analysis of Bangla-English Code-Mixed and Transliterated Social Media Comments Using Machine Learning

Student: Joyreya Abadin (ID: 315191006) & Nusrat Jahan (ID: 315191014)

Batch: 16th

6. TruthShield: A Machine Learning Approach to Fake News Detection

Student: MD. Asif (ID: 315192011) & Niaz Hossain (ID: 315192026)

Batch: 17th

7. Breast Cancer Detection Using Machine Learning Algorithm

Student: Siam Mahmud (ID: 315192009) & Atiqur Rahman (ID: 315192016)

Batch: 17th

8. Integrating IoT for Disease Prediction Using Machine Learning Based on Real-Time Air Quality

Student: Moshiur Rahman (ID: 315201002) & Mumtahina Mehjabin (ID: 315201052)

Batch: 18th

9. Leveraging NLP and ML Techniques for Sentiment Analysis on Informal Bangla Text

Student: Ismail Hossain Adnan (ID:315201047) & Mashiur Rahman (ID:315201034)

Batch: 18th

10. Reinforcement Learning-Based Stock Prediction with Hyper-tuned Indicators

Md. Hanjala (ID: 315201041) & Musa Khan (ID: 315201055)

Batch: 18th

11. Parkinson Disease Prediction Using Non-Linear Feature Engineering and Ensemble Classifiers

Rahela Akter Mim (ID: 315211004) & Md. Sayem (ID: 315211016)

Batch: 20th

Research Interest

Machine Learning, Deep Learning, Cyber Security, Natural Language Processing