• Ph.D (Ongoing) in Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh
• M.Sc. in Computer Science and Engineering,Jahangirnagar University, Dhaka, Bangladesh
• B.Sc. in Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

• Participated in “Introducing Complex Engineering Problem in Final Year Design Project,” DIU.
• Participated in the “Seminar on OBE Activities,” DIU.
• Trainer Of ITEE Program 

• Machine Learning
• Algorithm
• Programming and Problem Solving
• Database Management System
• Data Mining
• Artificial Intelligence
• Research and Innovation in Technical Writing

Journal Papers:

[1] M. A. Rahman, M. Hamada, S. Sharmin, T. A. Rimi, A. S. Talukder, N. Imran, K. Kobra, M. R. Ahmed, M. Rabbi, M. M. H. Matin, and M. A. Ali, “Improving sleep disorder diagnosis through optimized machine learning approaches,” IEEE Access, vol. 13, pp. 20989–21004, 2025, doi: 10.1109/ACCESS.2025.3535535.

[2] M. A. Rahman, M. Hamada, S. Sharmin, T. A. Rimi, A. S. Talukder, N. Imran, K. Kobra, M. R. Ahmed, M. Rabbi, M. M. H. Matin, and M. A. Ali, “Enhancing early breast cancer detection through advanced data analysis,” IEEE Access, vol. 12, pp. 161941–161953, 2024, doi: 10.1109/ACCESS.2024.3483095.

[3] S. Sharmin, M. R. Rashid, T. Khatun, M. Z. Hasan, M. S. Uddin, and Marzia, “A dataset of color fundus images for the detection and classification of eye diseases,” Data in Brief, vol. 57, Art. no. 110979, 2024, doi: 10.1016/j.dib.2024.110979.

[4] E. Mahamud, M. Assaduzzaman, and S. Sharmin, “Lentil disease and quality assessment: A detailed dataset of high-resolution images for deep learning research,” Data in Brief. [Publication year, volume, article number, and DOI to be verified.]

[5] N. N. Moon, A. Mariam, S. Sharmin, M. M. Islam, F. N. Nur, and N. Debnath, “Machine learning approach to predict the depression in job sectors in Bangladesh,” Current Research in Behavioral Sciences, vol. 2, Art. no. 100058, 2021, doi: 10.1016/j.crbeha.2021.100058.

[6] M. A. S. Nirob, P. Bishshash, M. B. Ayan, T. Khatun, S. Sharmin, M. Z. Hasan, and M. S. Uddin, “A comprehensive annotated image dataset for deep learning analysis of eggplant leaf diseases,” Data in Brief, vol. 63, Art. no. 112140, 2025, doi: 10.1016/j.dib.2025.112140.

Conference Papers:

[1] T. A. Komol, R. J. Riti, P. D. Nath, S. Datta, S. Sharmin, and S. R. H. Noori, “Traditional art and craft item recognition using deep learning,” in Proc. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11013395.

[2] T. A. Komol, R. J. Riti, P. D. Nath, A. Al Noman, S. Sharmin, and S. R. H. Noori, “Bangladeshi road traffic sign detection and navigation using deep learning,” in Proc. 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11013489.

[3] F. Jerin, A. B. Akhi, M. M. Tasin, N. Sultana, M. A. Akbar, and S. Sharmin, “Accidental prone area detection in Dhaka Metropolitan City using machine learning models,” in Proc. 2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), Jamshedpur, India, 2024, pp. 553–557, doi: 10.1109/ICRTCST61793.2024.10578490.

[4] S. M. R. Islam, N. N. Moon, M. M. Islam, R. A. Hossain, S. Sharmin, and A. Mostafiz, “Prediction of migration outcome using machine learning,” in Progresses in Artificial Intelligence & Robotics: Algorithms & Applications, ICDLAIR 2021, Lecture Notes in Networks and Systems, vol. 441. Cham, Switzerland: Springer, 2022, doi: 10.1007/978-3-030-98531-8_17.

[5] A. Ahsan, N. N. Moon, S. Sharmin, M. M. Islam, R. A. Hossain, and S. Nawshin, “Machine learning approach to predict traffic accident occurrence in Bangladesh,” in Proc. 2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2021, pp. 30–33, doi: 10.1109/BECITHCON54710.2021.9893578.

[6] S. H. Khan, M. N. Hossain, S. Mozumder, S. Sharmin, and N. N. Moon, “Rose leaf disease detection using CNN,” in Proc. 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON), Dhaka, Bangladesh, 2021, pp. 37–41, doi: 10.1109/RAAICON54709.2021.9929547.

[7] N. N. Moon, M. S. Sharmin, R. A. Hossain, I. Jahan, F. N. Nur, and M. M. Rahman, “Deep learning model for detecting and diagnosing plant disease,” in Proc. 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Pune, India, 2021, pp. 1–8, doi: 10.1109/SMARTGENCON51891.2021.9645857.

[8] J. Nooder, A. Mahbuba, S. Sharmin, N. N. Moon, L. H. Poushy, S. A. Bhuiyan, et al., “Machine learning approach to find students’ best place to study: Home vs hostel,” in Proc. 2021 2nd International Conference on Innovative and Creative Information Technology (ICITech), Salatiga, Indonesia, 2021, pp. 123–129, doi: 10.1109/ICITech50181.2021.9590130.

• Machine learning 
• Deep learning
• Medical Image Analysis 
• Natural Language Processing (NLP) 

1. Research Recognition Award for Scholarly Publication in Reputed Indexed Journals, Daffodil International University (2024, 2025).

2. Recognition Award, Accenture Bangladesh Ltd., May 2016.

Senior Lecturer (September 2017 – May 2026)
Department of Computer Science & Engineering, 
Daffodil International University, Dhaka, Bangladesh.

Software Engineer Associate (May 2015 – September 2017)
Technical Operations, Accenture Bangladesh Ltd.

Jr. Software Engineer (February 2014 – April 2015)
Web Application Development, Starhost IT Ltd.