• Master of Science (M.Sc.) in Computer Science & Engineering.
• Bachelor of Science (B.Sc.) in Computer Science & Engineering.

1. Induction Training for Teachers, organized by the Human Resource Development Institute (HRDI).
2. Attended the training session on “Teachers as a Proctor,” facilitated by Professor Dr. Shaikh Muhammad Allayear, Professor and Proctor, DIU.
3. Attended the HRDI Teacher Training Session on “Teachers as Psychologists: Psychological Health and Wellbeing for Teachers,” facilitated by Bilkis Khanam, Psychologist, Students’ Affairs.
4. Attended the training session on “Student-Centric Classroom Design,” facilitated by Amir Hamza, Assistant Director, Learning and Knowledge Management, DIU.
5. Attended the HRDI Training Session on “Research Methodology,” facilitated by Dr. Imran Mahmud, Professor and Head of the Department of Software Engineering, DIU.
6. Attended the training session on “Andragogy and Application at the Tertiary Level,” including a design competition, facilitated by Dr. Mohammad Rokibul Kabir, Dean, Faculty of Business and Entrepreneurship, DIU..
7. Attended the training session on “Make Teaching Visible,” facilitated by Professor Dr. Ahmed Mustafa, Director, Life Science Resource Center, Purdue University Fort Wayne.
8. Attended the HRDI  Teachers’ Training Session on “Learning from Learners: Faculty Best Practices”.
9. Attended the faculty  training session on “Outcome-Based Education (OBE) and Bloom’s Taxonomy,” conducted by Mr. Md. Dara Abdus Satter, Associate Professor and Head, Department of EEE,DIU.

• Programming and Problem Solving
• Data Structure
• Algorithm
• Machine Learning
• Database Management System
• Digital Logic Design

1. T. Rahman and M. M. Rahman(2023). Evaluation of machine learning approaches for prediction of dengue fever. 5th International conference on Computer Networks and Inventive Communication Technologies (ICCNCT), (Vol. 141, pp. 165–175),Springer.  DOI:https://doi.org/10.1007/978-981-19-3035-5_13.
2. T. Rahman, A. Azad, and S. Abujar ( August, 2022) .Prediction of Type II Diabetes Using Machine Learning Approaches.6th International  Conference  on  Inventive  Systems  and   Control(ICISC),(Vol. 436, pp. 145–156),Springer.     DOI:https://doi.org/10.1007/978-981-19-1012-8_10.
3. T. Rahman and M. N . Yesmin (January, 2022). Utilization of Machine Learning Techniques for Prediction of COVID-19 Epidemic. 3rd International conference on Communication, Computing and Electronics Systems (ICCCES), (Vol. 844, pp. 735–747), Springer. DOI:https://doi.org/10.1007/978-981-16-8862-1_48.
4. M. M. Hasan, S. T. Dip, T. Rahman, M. S. Akter, and I. Salehin(November,2021). Multilabel Movie Genre Classification from Movie Subtitle: Parameter Optimized Hybrid Classifier. 4th International Symposium on Advanced Electrical and Communication Technologies(ISAECT). DOI: https://doi.org/10.1109/ISAECT53699.2021.9668427.

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

Lecturer(Contractual), Daffodil International University, Dhaka, Bangladesh.
July 2022 - December 2023.