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Dr. Md. Faisal Bin Abdul Aziz

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Dr. Md. Faisal Bin Abdul Aziz

Associate Professor

Comilla University
Cumilla-3506, Bangladesh

faisal@cou.ac.bd
+8801607194474

Dr. Md. Faisal Bin Abdul Aziz, a faculty member of Comilla University, Bangladesh, is currently working as an associate professor at the Department of Computer Science and Engineering. He completed his B.Sc. (Honors) and M.S. (Engg.) in the Department of Computer Science and Engineering from the well-renowned University of Chittagong, Bangladesh. He obtained his Ph.D. in Intelligent Systems from the Department of Computer Science at Universiti Putra Malaysia, Malaysia. He teaches courses at both the undergraduate and graduate levels and supervises several projects and theses at these levels. His present research interests encompass artificial intelligence, deep learning, machine learning, healthcare informatics, bioinformatics, and image processing.

Master of Science (Engg.) University of Chittagong Computer Science and Engineering 2008
Bachelor of Science (Honors) University of Chittagong Computer Science and Engineering 2007
Higher Secondary Certificate (HSC) Dhaka Board Science 2002
Ph. D. Universiti Putra Malaysia Computer Science (Intelligent Systems) 2024

Dept. of Computer Science and Engineering, Comilla University, Bangladesh
Assistant Professor
November 2016 - April 2025


Dept. of Computer Science and Engineering, Comilla University, Bangladesh
Lecturer
November 2013 - November 2013


Dept. of Computer Science and Engineering, University of Information Technology and Sciences, Bangladesh
Lecturer
September 2010 - November 2010


System Resource Ltd, Dhaka, Bangladesh
Assistant Software Engineer
February 2010 - September 2010


Dept. of Computer Science and Engineering, Comilla University, Bangladesh
Associate Professor
April 2025 - Present


  1. Nazri, A., Agbolade, O., Aziz, F., & Che, I. S. (2025). PANTUNDUDA: Explainable AI to Landmark Face Recognition using Canonical Variate Analysis. Journal of Theoretical and Applied Information Technology, 103(18).
  2. Hossain, M. M., Apu, M. J. H., Aziz, M. F. B. A., Tanjil, M. T. R., Das, L. C., Kar, A., ... & Morshed, M. M. (2025). Exploring Dolichos lablab compounds as potential inhibitors for fusion (F) protein of human metapneumovirus (HMPV): A systematic computational approach. Plos one, 20(9), e0332170.
  3. Nazri, A., Agbolade, O., & Aziz, F. (2025). Hybrid Reinforcement Learning-Active Learning Framework for Real-Data Augmentation in Imbalanced Credit Scoring. IEEE Access.
  4. Aziz, M. F. B. A., Nazri, A., Evamoni, F. Z., Yaakob, R., Aris, T. N. M., Sekawi, Z., ... & Al Arifi, M. N. (2025). SMOTE-ENN-LR: Leveraging Machine Learning for Breast Cancer Classification in Microarray Gene Expression with Explainable AI. Malaysian Journal of Computer Science, 38(2), 60-76.
  5. Datta, N., Mahmud, T., Begum, M., Aziz, M. T., Islam, D., Aziz, M. F. B. A., ... & Andersson, K. (2025). Convolutional neural network-based real-time drowsy driver detection for accident prevention. TELKOMNIKA (Telecommunication Computing Electronics and Control), 23(3), 682-693.
  6. Aziz, M. T., Mahmud, T., Aziz, M. F. B. A., Siddick, M. A. B., Sharif, M. M., Hossain, M. S., & Andersson, K. (2025). Textual and numerical data fusion for depression detection: A machine learning framework. Indonesian Journal of Electrical Engineering and Computer Science, 38(2), 1231-1244.
  7. Mahmud, T., Hossain, G. S., Ali, M. H., Hasan, T., Aziz, M. F. B. A., Aziz, M. T., ... & Andersson, K. (2025, March). A Machine Learning-Based Framework for Malicious URL Detection in Cybersecurity. In 2025 8th International Conference on Information and Computer Technologies (ICICT) (pp. 61-65). IEEE.
  8. Majumder, A., Mahmud, T., Barua, T., Jannat, N., Aziz, M. F. B. A., Islam, D., ... & Andersson, K. (2025, March). Harnessing BERT for Advanced Email Filtering in Cybersecurity. In 2025 8th International Conference on Information and Computer Technologies (ICICT) (pp. 66-71). IEEE.
  9. Rahman, T., Mahmud, T., Roy, S., Mizan, M. M. R., Islam, D., Aziz, M. F. B. A., ... & Hossain, M. S. (2025, February). Digital Twin-Enabled Intelligent IoT Healthcare Systems. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-5). IEEE.
  10.  Rahman, T., Mahmud, T., Roy, S., Chakma, R., Islam, D., Aziz, M. F. B. A., ... & Hossain, M. S. (2025, February). A Machine Learning Paradigms for Metro Interstate Traffic Volume Prediction. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-5). IEEE.
  11. Nazri, A., Agbolade, O., & Aziz, F. (2024). Personal Intelligence System UniLM: Hybrid On-Device Small Language Model and Server-Based Large Language Model for Malay Nusantara. arXiv preprint arXiv:2410.06973.
  12. Mahmud, T., Uddin, B., Akter, T., Majumder, A., Aziz, M. F. B. A., Hossain, M. S., & Andersson, K. (2024, September). Exploring transformer models for sentiment analysis in airline service reviews. In 2024 IEEE International conference on computing, applications and systems (COMPAS) (pp. 1-7). IEEE.
  13. Mahmud, T., Aziz, M. F. B. A., Uddin, B., Majumder, A., Akter, T., Sharmen, N., ... & Andersson, K. (2024). Utilizing Machine Learning for Early Detection of Chronic Kidney Disease. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). IEEE.
  14. Mahmud, T., Aziz, M. F. B. A., Majumder, A., Farid, S. M., & Akter, T. (2024). Deep Learning-Based Systems for Detecting Hate Speech and Offensive Language in Texts. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-5). IEEE.
  15. Ali, M. H., Mahmud, T., Aziz, M. T., Aziz, M. F. B. A., Hossain, M. S., & Andersson, K. (2024). Leveraging transfer learning for efficient classification of coffee leaf diseases. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
  16. Aziz, M. F. B. A., Nazri, A., Yaakob, R., Evamoni, F. Z., Aris, T. N. M., & Sekawi, Z. (2023). A Comprehensive Survey on Different Machine Learning Approaches for Breast Cancer Prediction based on Medical Imaging Modalities and Microarray Gene Expression. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), pp. 2615-2615.
  17. Mahmud, T., Tripura, S., Salma, U., Fardoush, J., Naher, S. R., Sikder, J., & Aziz, M. F. B. A. (2021). Face detection and recognition system. In Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2021 (pp. 145-155). Springer Singapore.
  18. Rahman, M. Z., Rahman, M. H. H., & Aziz, M. F. B. A. (2019). Information Extraction from WWW using Structural Approach. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). IEEE.
  19. Aziz, M. F. B. A., Uddin, M., & Islam, M. K. (2016). Scene Classification Using Localized Histogram of Oriented Gradients Method. International Journal of Computer (IJC), 20(1), 13-28.

6. Mahmud, T., Uddin, B., Akter, T., Majumder, A., Aziz, M. F. B. A., Hossain, M. S., & Andersson, K. (2024). Exploring Transformer Models for Sentiment Analysis in Airline Service Reviews. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-7). 25-26 September 2024, Cox's Bazar, Bangladesh.

5. Mahmud, T., Aziz, M. F. B. A., Uddin, B., Majumder, A., Akter, T., Sharmen, N., ... & Andersson, K. (2024). Utilizing Machine Learning for Early Detection of Chronic Kidney Disease. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). 25-26 September 2024, Cox's Bazar, Bangladesh.

4. Mahmud, T., Aziz, M. F. B. A., Majumder, A., Farid, S. M., & Akter, T. (2024, September). Deep Learning-Based Systems for Detecting Hate Speech and Offensive Language in Texts. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-5). IEEE.

3. Ali, M. H., Mahmud, T., Aziz, M. T., Aziz, M. F. B. A., Hossain, M. S., & Andersson, K. (2024, June). Leveraging transfer learning for efficient classification of coffee leaf diseases. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), (pp. 1-6). Kamand, India, 2024. doi: 10.1109/ICCCNT61001.2024.10725973.

2. Mahmud, T., Tripura, S., Salma, U., Fardoush, J., Naher, S. R., Sikder, J., & Aziz, M. F. B. A. (2021). Face detection and recognition system. In Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2021 (pp. 145-155). Springer Singapore.

1. Rahman, M. Z., Rahman, M. H. H., & Aziz, M. F. B. A. (2019, December), "Information Extraction from WWW using Structural Approach," 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, Bangladesh, 2019, pp. 1-5, doi: 10.1109/STI47673.2019.9068080.


  • Artificial Intelligence, Deep Learning, Machine Learning, Health Informatics, Image Processing, Computer Vision, Bioinformatics, and Data Mining.  
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