mohammad Ariful Islam

I am currently pursuing a Doctor of Philosophy (PhD) in Information Systems at the University of Melbourne.

My research interests include Mental Health Management, Social Media Analysis, and Sports Journalism.

I have experience as a Teaching Assistant at the University of Liberal Arts Bangladesh (ULAB), which helped my teaching and mentoring skills. I also worked as a Manager at cricfrenzy.com. Outside of academia and work, I am dedicated to community service and research, aiming to make a positive impact on society while growing both personally and professionally.

EDUCATION

PhD from February 2025

University of Melbourne

PUBLICATIONS

Q1 Journal Paper

M. A. I. Rafi, M. S. Hassan, I.-U. Rashid, M. M. Hasan, J. A. Chowdhury, M. R. Sohan, N. A. Jahan, and M. M. Hossain, “Techno-Economic and Environmental Analysis of Solar PV System at Sher-e-Bangla National Cricket Stadium: A Comprehensive Case Study,” in IEEE Access, vol. 13, pp. 52658-52682, 2025, doi: 10.1109/ACCESS.2025.3553636.

M. A. I. Rafi, T. Islam, G. Hossain and M. M. Hossain, “Psychological Impact of Internet Blackouts: A Case Study with Machine Learning-Based Stress Analysis,” in IEEE Access, vol. 13, pp. 83505-83527, 2025, doi: 10.1109/ACCESS.2025.3568434.

Islam, M. A., Marx, J., Liu, L., and Turel, O. 2026, “The Technology Preparedness Paradox during Natural Disasters: A Qualitative Meta-Analysis,” Journal of Management Information Systems, (Submitted).

Conference Paper

M. A. I. Rafi, M. R. Sohan, A. Jawad, H. R. Sourid, and M. M. Hossain, “Sound Pollution Monitoring System and Awareness Creation in Modern Cities: A Case Study,” 2023 International Conference on Advances in Electronics, Communication, Computing, and Intelligent Information Systems (ICAECIS), Bangalore, India, 2023, pp. 637–642, doi: 10.1109/ICAECIS58353.2023.10170378.

M. A. I. Rafi, M. R. Sohan, M. H. Nadid, T. S. Rafa, and A. Jawad, “Enhancing Power Transmission Line Fault Detection with a Hybrid ANN-SVM Machine Learning Model: A Comparative Study,” 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh, 2024, pp. 1-6, doi: 10.1109/iCACCESS61735.2024.10499518.

M. A. I. Rafi, M. R. Sohan, S. Hassan, T. S. Rafa, and A. Jawad, “Exploring Classification of Vehicles Using Horn Sound Analysis: A Deep Learning Based Approach,” 2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia and Herzegovina, 2024, pp. 1-6, doi: 10.1109/INFOTEH60418.2024.10496018.

M. A. I. Rafi and M. R. Sohan, “Enhanced Solar Radiation Prediction with Machine Learning: A Comprehensive Analysis of Meteorological Data Using Random Forest,” 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India, 2024, pp. 1-6, doi: 10.1109/ICCCNT61001.2024.10725976.

M. A. I. Rafi and T. Islam, “Mental Health Evaluation During Internet Blackouts: A Case Study of Bangladesh Quota Movement,” ITM Web of Conferences, vol. 72, pp. 1-18, Jan. 2025, doi: 10.1051/itmconf/20257202004.

M. A. I. Rafi, M. R. Sohan, G. J. Rayhan, M. S. I. Khairul, A. A. Noman, and M. H. Nadid, "Air Pollution Prediction and Classification with a Hybrid ANN-LSTM Model in Modern Cities: A Comparative Study," International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2024), Online Conference, Iskandar Puteri, Malaysia, 2024, pp. 580-585, doi: 10.1049/icp.2025.0313.

M. T. Islam, T. Islam, M. A. I. Rafi, and T. R. Sakib, "Mental Health Evaluation During Internet Blackouts: A Machine Learning Approach," International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2024), Online Conference, Iskandar Puteri, Malaysia, 2024, pp. 541-547, doi: 10.1049/icp.2025.0306.

M. A. Islam, J. Marx, L. Liu and O. Turel, "Digital Mental Health Resilience During Natural Disasters: A Scoping Review and Research Agenda," The 36th Australasian Conference on Information Systems (ACIS 2025), Queensland, Australia, 2025.

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