Department of Computer Science and Engineering
Mr. Md. Firoz Hasan  Lecturer (Senior Scale)
Name :
Mr. Md. Firoz Hasan
Designation
Lecturer (Senior Scale)  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/firoz.html
E-mail
firoz.cse@diu.edu.bd
Phone
+8809617901233
Cell-Phone
+88 01705726026

PhD(Ongoing) Computer Science and Engineering ,Jagannath University

Master in Information Technology Jahangirnagar University (JU)
Master in Computer Science and Engineering(CourseWork Completed)

Military Institute of Science and Technology (MIST)

Bachelor of Science in Computer Science and Engineering

Chittagong University of Engineering and Technology (CUET)

  1. Attended ‘Participatory Engaging Teaching (PET)’ Training for 12 days arranged by port city international university in 2017.
  2. Attended ‘Participatory Engaging Teaching (PET)’ Training for 7 days arranged by HRDI at Daffodil International University in 2017.
  3. ” National Mobile Application Development Program” organized by the Ministry of ICT, The Govt. of Bangladesh, Dhaka, Bangladesh (August, 2016)
  4. ”.NET Development Program” organized by LICT, The Govt. of Bangladesh, Dhaka, Bangladesh (December, 2016)

 

  • Introduction to data Science
  • Data Mining and Machine Learning
  • Artificial Intelligence
  • Data Structures
  • Computer Fundamentals
  • Natural Language Processing

Journal Paper:

  1. F. Hasan, M. Hasan, and D. M. Raza, “Enhancing parkinson’s disease diagnosis through deep learning analysis on hand-drawn patterns,” IAES International Journal of Artificial Intelligence(IJ-AI), no. 2089-3191, 2026. Q2
  2. F. Hasan, M. Hasan, and D. M. Raza, “Comparative Evaluation of Transfer Learning Models and Grad-CAM Interpretability for Brain Tumor Detection from MRI,” IAES International Journal of Artificial Intelligence (IJ-AI), no. 2089-3191, 2026. Q2
  3. F. Hasan and Hasan, Moon and Raza, Dewan Mamun, “Harmony haven: Usability evaluation of matrimonial websites for cultural sensitivity in Bangladesh," Accepted at Bulletin of Electrical Engineering and Informatics (BEEI), no. 2089-3191, 2025.Q3
  4. F. Hasan, R. Khatun, E. Salman, T. Mahmud, D. Raza, and M. A. Nahid, “Deciphering the symptom spectrum: A comprehensive analysis of migraine patterns and types,” American Journal of Data Mining and Knowledge Discovery, vol. 9, pp. 20–31, Oct. 2024. doi: 10.11648Q4
  5. F. Hasan, R. Khatun, D. M. Raza, A. H. Nahid, M. R. H. Bhuiyan, and H. Moon, “Predictive modeling of child malnutrition and factor analysis using machine learning approach for early detection and intervention,” Journal of Electrical Systems (JES), 2024. doi: 10.11648/j.ajdmkd.20240901.12Q4
  6. F. Hasan, Rubina Khatun, Mohammad Salman, Md. Abu Sayed, Anukul Chandra, Md Saiful Islam, Md Parvez kabir, “Predicting student mental health using machine learning approaches,” Journal of Electrical Systems (JES), 2024.Q4
  7. F. Hasan and M. J. Mia, “Association rules and clustering on sparse data of a leading online retailer,” International Journal of Computer Science and Information Security (IJCSIS), vol. 17, no. 4, 2019.

  8. M. Abedin, R. Das, M. S. Islam, and M. F. Hasan, “Impact of residency status on academic performance of Bangladeshi university students using machine learning and explainable AI,” in 2025 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11013908.

  9. M. E. Ahmed, H. H. Tuhin, M. J. Islam, M. A. Kayum, and F. Hasan, “Analyzing the impact of Facebook addiction on academic performance using machine learning techniques,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171627.

  10. M. A. A. Amin, M. H. Hasan, and F. Hasan, “A machine learning framework for evaluating nutritional status disparities based on income among adolescents in Bangladeshi sub-urban areas,” in 2025 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2025, pp. 1–7, doi: 10.1109/ECCE64574.2025.11013033.

  11. A. A. N. Bhuyan, M. A. A. Emon, M. A. R. Roky, and F. Hasan, “A machine learning approach for predicting student engagement with online learning platform,” in 2025 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11013151.

  12. S. Garodia, I. F. Raiyan, N. K. Mojlish, and F. Hasan, “Predicting entrepreneurial tendencies in university students of Bangladesh: A machine learning approach,” in 2025 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11014042.

  13. F. Hasan, A. Ahammed, S. A. Sajib, and R. Khatun, “Early-stage diabetes risk prediction using machine learning technique,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171955.

  14. F. Hasan, M. B. Bhuiyan, D. M. Raza, and R. Khatun, “Prediction of asthma using machine learning algorithms,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–5, doi: 10.1109/QPAIN66474.2025.11171982.

  15. F. Hasan, F. Hossain, M. K. H. Saurov, and R. Khatun, “Predicting reels addiction using machine learning,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11172082.

  16. F. Hasan, S. Howlader, H. Moon, R. Khatun, and B. I. Lab, “Plant disease detection using deep learning,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 43–47, doi: 10.52305/SCZK7425.

  17. F. Hasan, R. Khatun, D. M. Raza, J. Islam, and B. I. Lab, “Lung disease detection using transfer learning models,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 43–47, doi: 10.52305/SCZK7425.

  18. F. Hasan, R. Khatun, D. M. Raza, and H. H. Tuhin, “Hyper parameter optimization using machine learning,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 43–47, doi: 10.52305/SCZK7425.

  19. F. Hasan, H. Moon, A. Kayum, R. Khatun, and B. I. Lab, “Stock market prediction from news content using ensemble learning techniques,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 43–47, doi: 10.52305/SCZK7425.

  20. F. Hasan, M. H. Moon, S. Nasrin, and T. A. Momin, “The impact of smartphones on student learning and communication,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11172042.

  21. F. Hasan, S. M. Rahman, M. S. Rahman, and R. Khatun, “Analyzing game addiction in Bangladesh through machine learning techniques,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171979.

  22. F. Hasan, S. A. Rahman, T. R. Shuvro, and S. Nasreen, “A machine learning approach for identifying mental health risk factors among university students in Bangladesh,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171929.

  23. F. Hasan, M. A. R. Roky, M. K. R. Rabby, and D. M. Raza, “Crime rate prediction using machine learning: A case study of Bangladesh,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171643.

  24. F. Hasan, S. A. Sajib, M. S. Rahman, and M. N. I. Nahid, “Student performance prediction using machine learning,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–5, doi: 10.1109/QPAIN66474.2025.11171639.

  25. F. Hasan, P. Sarker, A. A. Bijay, and M. M. Miah, “Analyzing the preferences and career choice tendency about corporate job vs business among university students,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–7, doi: 10.1109/QPAIN66474.2025.11171872.

  26. F. Hasan, M. K. H. Saurov, M. I. Hossain, and R. Khatun, “Drug addiction analysis in Bangladesh using machine learning,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11172192.

  27. F. Hasan, T. A. Tabashom, S. S. Enami, and K. Rifat, “A machine learning approach to evaluate and identify key factors influencing user satisfaction with university e-learning websites in Bangladesh,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171772.

  28. F. Hasan et al., “Multilingual toxic comment classification using deep learning,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 37–43, doi: 10.52305/SCZK7425.

  29. M. R. Hossain, S. A. Ritu, M. Tauhid, and F. Hasan, “Exploring mental well-being based on daily routine patterns and on the impact of sleep quality,” in 2025 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2025, pp. 1–6, doi: 10.1109/ECCE64574.2025.11013979.

  30. K. A. Islam, A. A. Lithen, E. Hossain, and F. Hasan, “Regional variation of multimorbidity among under 5 children in Bangladesh: A machine learning approach,” in 2025 Int. Conf. Quantum Photonics, Artificial Intelligence, and Networking (QPAIN), 2025, pp. 1–6, doi: 10.1109/QPAIN66474.2025.11171796.

  31. K. I. I. Nashir, F. Hasan, H. Moon, R. Khatun, and B. I. Lab, “Mental health and depression analysis using machine learning in Bangladesh,” in Int. Conf. Advances in Sustainable Development, Innovation and Green Technology, 2025, pp. 43–47, doi: 10.52305/SCZK7425.

  32. S. Deb, M. S. R. Sammy, A. N. Tusher, M. R. S. Sakib, F. Hasan, and A. I. Aunik, “Predicting student dropout: A machine learning approach,” in 2024 15th Int. Conf. Computing Communication and Networking Technologies (ICCCNT), 2024, pp. 1–7, doi: 10.13140/RG.2.2.21307.84001.

  33. F. Hasan, D. M. Raza, H. Moon, and A. H. N. Nahid, “Sentiment analysis from YouTube video using Bi-LSTM-GRU classification,” in Int. Conf. Big Data, IoT and Machine Learning, 2023, pp. 303–316, doi: 10.1007/978-981-99-8937-9_21.

  34. F. Hasan, M. H. Moon, and D. M. Raza, “IoT network intrusion detection using ensemble learning approach,” in 2023 14th Int. Conf. Computing Communication and Networking Technologies (ICCCNT), 2023, pp. 1–8, doi: 10.1109/ICCCNT56998.2023.10307253.

  35. A. Islam, S. S. Sharmee, M. N. Islam, F. Hasan, and A. Aziz, “Evaluating the human-computer interaction problems with ATM interfaces,” in 2022 25th Int. Conf. Computer and Information Technology (ICCIT), 2022, pp. 506–511, doi: 10.1109/ICCIT57492.2022.10055213.

  36. Z. Tasneem, M. Afnan, F. Hasan, and N. Sharmin, “Empirical study of different machine learning techniques in classifying Aspergillus species,” in 2022 IEEE Int. Women in Engineering (WIE) Conf. Electrical and Computer Engineering (WIECON-ECE), 2022, pp. 72–77, doi: 10.1109/WIECON-ECE57977.2022.10151236.

  37. S. K. Maria, S. S. Taki, M. J. Mia, A. M. Al Amin Biswas, and F. Hasan, “Cauliflower disease recognition using machine learning and transfer learning,” in Smart Systems: Innovations in Computing (Proc. SSIC 2021), Singapore: Springer, 2022, pp. 359–375, doi: 10.1007/978-981-16-2877-1_33.

  38. D. M. Raza and F. Hasan, “Employee engagement and turnover utilizing logistic regression,” in 2021 IEEE 8th Uttar Pradesh Section Int. Conf. Electrical, Electronics and Computer Engineering (UPCON), 2021, pp. 1–6.

  39. K. I. Z. Apu, N. Mahmud, F. Hasan, and S. H. Sagar, “P2P video conferencing system based on WebRTC,” in 2017 Int. Conf. Electrical, Computer and Communication Engineering (ECCE), 2017, pp. 557–561.

  • Machine learning 
  • Deep learning
  • Medical Image Analysis 
  • Natural Language Processing (NLP)
  • Got 4 years B.Sc. Scholarship from CUET

Lecturer, Department of Computer Science and Engineering,
Daffodil International University

Lecturer, Department of Computer Science and Engineering,
Port City International University