Associate Professor
Comilla University
Cumilla-3506, Bangladesh
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. 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 |
| Secondary School Certificate (HSC) | Comilla Board | Science | 1999 |
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Dept. of Computer Science and Engineering, Comilla University, Bangladesh |
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Dept. of Computer Science and Engineering, Comilla University, Bangladesh |
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Dept. of Computer Science and Engineering, University of Information Technology and Sciences, Bangladesh |
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System Resource Ltd, Dhaka, Bangladesh |
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Dept. of Computer Science and Engineering, Comilla University, Bangladesh |
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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. |
