M.Sc. in Computer Science and Engineering, Daffodil International University

B.Sc. in Computer Science and Engineering, Daffodil International University

• Teacher’s Training Program, (5 days), 2022,  arranged by HRDI, Daffodil International University.
• 12 Personal and Professional Development(PPD) Training under TAF Fellowship, 2021, arranged by HRDI, Daffodil International University.
• 32-days Mentorship & Leadership Development Training Program Under Teaching Apprentice Fellowship Selection Process.
• Early Career Researcher Training: ACU

• Algorithms
• Data Mining and Machine Learning
• Data Structure
• Discrete Mathematics

1. Hasan, M. U., Khan, F. N., Jahan, H., Zaman, Z., & Rahman, M. M. (2024, September). Predicting pancreatic cancer survival and staging: a machine learning approach. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-5). IEEE. 
2. Sohel, A., Rahman, M. M., Hasan, M. U., Islam, M. K., Rukhsara, L., & Rabeya, T. (2025). Automated tomato leaf disease recognition using deep convolutional networks. International Journal of Electrical and Computer Engineering (IJECE), 15(2), 1850-1860. 
3. Islam, M. J., Akhi, A. B., Rahman, M. M., Tuhin, H. H., Kayum, M. A., & Hasan, M. U. (2025, February). The Impact of AI and ChatGPT on Bangladeshi University Students: A Machine Learning Approach. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE. 
4. Zaman, Z., Meraz, M. H., Siddike, S., Khan, F. N., Hasan, M. U., & Rahman, M. M. (2024, September). Classifying cctv image for road accident analysis using deep learning techniques. In 2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-5). IEEE. 
5. Sohel, A., Hossain, M. R., Mostofa, Z. B., Hasan, M. U., Das, U. C., & Parvin, S. K. (2023, December). Sentiment analysis based on online course feedback using TextBlob and machine learning techniques. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. 
6. Afroz, S., Akhund, T. M. N. U., Khan, T., Hasan, M. U., Jesmin, R., & Sarker, M. M. (2023, February). Internet of Sensing Things-based machine learning approach to predict Parkinson. In International Congress on Information and Communication Technology (pp. 651-660). Singapore: Springer Nature Singapore. 
7. Sohel, A., Das, U. C., Hasan, M. U., Islam, O., Karim, M. S., & Assaduzzaman, M. (2023, December). Prognosis the Risk of Early-Stage Diabetes Using Machine Learning Techniques. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE. 
8. Sohel, A., Hossain, S., Hasan, M. U., Islam, O., Das, U. C., & Rahman, M. M. (2023, December). A deep learning approach to detect breast cancer disease from mammogram images. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

• Machine Learning
• Deep Learning
• Artificial Intelligence
• Cyber Security

• Lecturer, Department of CSE, Daffodil International University
• Research Associate And TAF Fellow(TAF-2021), Department of CSE, Daffodil International University