Department of Computer Science and Engineering
Mr. Md. Monarul Islam  Lecturer
Name :
Mr. Md. Monarul Islam
Designation
Lecturer  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/monarul.html
E-mail
monarul.cse@diu.edu.bd
Phone
+8809617901233
Cell-Phone
+88 01796950211
  • M.Sc in CSE from Bangladesh University of Engineering and Technology(Ongoing)
  • B.Sc Engineering in CSE from Khulna University Of Engineering & Technology(KUET)
  1. Training on Professional Behaviour for New Teachers HRDI, Daffodil International University (DIU) in 2023.
  2.  Outcome-Based Learning Training Program 2022-IQAC-Dhaka International University (2022)
  3. Training a session on “exploring tools for unlocking AI potential in teaching and research 2024”
  4. Research Training for Teachers
    Organized by the Division of Research (DoR), Daffodil International University (DIU), 2026

Structured Programming, Data Structure and Algorithm, Object Oriented Programming, Machine Learning(ML),Deep Learning, Natural Language processing(NLP), Digital Image Processing& Computer Vision, Data Mining, Artificial Intelligence(AI), Compiler Design, Theory Of Computing, Computer Networks & Security, Bioinformatics, Advanced Human Computer Interaction, Microprocessor and Interfacing.

Journal:

  1. Bijoy, M. H. I., Ayman, U., & Islam, M. M. (2025). BanglaTense: A large-scale dataset of Bangla sentences categorized by tense: Past, present, and future. Data in Brief, 59, Article 111400. https://doi.org/10.1016/j.dib.2025.111400

 

Conferences:

  1. N. Hasan, M. Monarul Islam, R. Azim and J. Biswas, “YouTube Spam Comment Detection using Transfer Learning and Machine Learning algorithms,” in 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE, 2025, DOI:10.1109/ecce64574.2025.11013288.
  2. Md. N. Hasan, R. Azim, M. Hasan and M. M. Islam, “A stacked ensemble model to identify Bangla religious hate comments,” in Proc. 2024 IEEE 3rd Conference on Information Technology and Data Science (CITDS 2024), 2024, pp. 1–6, doi:10.1109/citds62610.2024.10791360.
  3. S. Marjan, A. K. Bristy, A. K. Ghosh, D. Bhowmik, R. A. Nayeem, and M. M. Islam Mithu, “Lightweight Graph Attention Network-Based Framework for Intelligent Frangipani Leaf Disease Classification,” in Proc. 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, Jan. 29–31, 2026, doi: 10.1109/ICECTE69292.2026.11429347.
  4. Ghosh, A. K., Akther, M. H., Marjan, S., & Mithu, M. M. I. (2026). High-Accuracy 3-Class Cerebral Stroke Detection Using ConvNeXt: An End-to-End Vision Pipeline. In Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025) (pp. 133–144). Atlantis Press. https://doi.org/10.2991/978-94-6239-664-7_11
  5. XCLBoost: Soft Voting Ensemble and Explainable AI for Modeling Student AI Adoption” is accepted in “3rd International Conference on Big Data, IoT, and Machine Learning (BIM 2025)”, held at Dhaka International University (DIU) in Bangladesh.
  6. SapoLeafNet: A Lightweight Graph Attention Network for Automated Detection of Sapodilla Leaf Diseases” is accepted in “ International Conference on Intelligent Data Analysis and Applications (IDAA 2025)” Daffodil International University, Dhaka, Bangladesh.
  7. A Neuro-Fuzzy Hybrid Graph Neural Network for Automated Disease Detection in Mangrove Apple (Sonneratia caseolaris)” is accepted in “ International Conference on Intelligent Data Analysis and Applications (IDAA 2025)” Daffodil International University, Dhaka, Bangladesh.
  8. Dual-Branch Deep Learning with Explainable AI for Mangrove Leaf Species Classification in the Sundarban Ecosystem. Accepted at the International Conference on Computing, Applications and Systems (COMPAS 2026), University of Dhaka, Dhaka, Bangladesh.

Deep learning, Machine Learning, Advanced Artificial Intelligence, Data Mining, Natural language Processing(NLP).

  • Dean's Award under the faculty of Electrical and Electronics Engineering, KUET
  • Lecturer(Full Time), Dhaka International University, Department of CSE  [2022-2023]