Research & Publication

Md Reazul Islam, Khondokar Oliullah, Dr. Rajarshi Roy Chowdhury, Shaikat Das Joy, and M M Fazle Rabbi(2025), IntelligentGuard: Smart Doorbell with Deep Learning for Secure User Recognition and Instant Notifications. IJEER 13(2), 353-363. DOI: 10.37391/IJEER.130220. (Q3, Scopus) Download  

Oliullah, K., Whaiduzzaman, M., Mahi, M. J. N., Jan, T., & Barros, A. (2025). A machine learning based authentication and intrusion detection scheme for IoT users anonymity preservation in fog environment. PloS one, 20(6), e0323954. (Q1, IF: 2.9) Download 

Oliullah, K., Islam, M. R., Babar, J. I., Quraishi, M. N., Rahman, M. M., Mahbub-Or-Rashid, M., & Bhuiyan, T. A. U. H. (2025). FruVeg_MultiNet: A hybrid deep learning-enabled IoT system for fresh fruit and vegetable identification with web interface and customized blind glasses for visually impaired individuals. Journal of Agriculture and Food Research, 101623. (Q1, IF: 4.8) Download

Ghose, P., Oliullah, K., Mahbub, M. K., Biswas, M., Uddin, K. N., & Jamil, H. M. (2024). Explainable AI assisted heart disease diagnosis through effective feature engineering and stacked ensemble learning. Expert Systems with Applications, 125928. https://doi.org/10.1016/j.eswa.2024.125928 (Q1, IF: 7.5) Download 

Islam, M.R., Oliullah, K., Kabir, M. et al. Machine learning-driven IoT device for women’s safety: a real-time sexual harassment prevention system. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-20228-5 (Q1, IF: 2.9) Download 

Islam, M. R., Oliullah, K., Kabir, M. M., Alom, M., & Mridha, M. F. (2023). Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation. Journal of Agriculture and Food Research, 100880. doi:10.1016/j.jafr.2023.100880 (Q1, IF: 2.8) Download 

Oliullah, K., Rasel, M.H., Islam, M.M. et al. A stacked ensemble machine learning approach for the prediction of diabetes. Journal of Diabetes and Metabolic Disorders (2023). https://doi.org/10.1007/s40200-023-01321-2 (Q2, IF:2.4) Download 

Oliullah, K., Sarker, M.M., Arif, A.S., & Khan, M.A. (2022). Customer satisfaction of mobile users in the Covid- 19 situation: A bangladesh perspective survey. Business Studies Journal, 14(3), 1-14. Download 

Islam, Md Reazul, Arman Hossain, Sayefa Arafah, MM Fazle Rabbi, and Khondokar Oliullah. "A Portable Diagnostic and Medication System for Rural Areas Using IoT." In International Conference on Trends in Electronics and Health Informatics, pp. 671-685. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-97-3937-0_46  (Download) 

Oliullah, Khondokar, Alistair Barros, and Md Whaiduzzaman. "Analyzing the Effectiveness of Several Machine Learning Methods for Heart Attack Prediction." In Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering: TCCE 2022, pp. 225-236. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-19-9483-8_19  (Download) 

Whaiduzzaman, Md, Khondokar Oliullah, Md Julkar Nayeen Mahi, and Alistair Barros. "AUASF: An Anonymous Users Authentication Scheme for Fog-IoT Environment." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-7. IEEE, 2020.  https://doi.org/10.1109/ICCCNT49239.2020.9225632 (Download) 

Sagar S.P., Oliullah K., Sohan K., Patwary M.F.K. (2021) PRCMLA: Product Review Classification Using Machine Learning Algorithms. In: Kaiser M.S., Bandyopadhyay A., Mahmud M., Ray K. (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Advances in Intelligent Systems and Computing, vol 1309. Springer, Singapore. https://doi.org/10.1007/978-981-33-4673-4_6  (Download) 

Khondokar Oliullah, Shipon Tarafdar, Md Whaiduzzaman (2020). Fog Computing And Iot Based Modern Agricultural System. Topics in Intelligent Computing and Industry Design, 2(1): 88-92. http://doi.org/10.26480/cic.01.2020.88.92 (Download) 

MethodsX (ScienceDirect): Serving as the reviewer for MethodsX Journal in IoT-ML discipline. URL 

Cluster Computing: Serving as the reviewer for Cluster Computing Journal (springer) in IoT-ML discipline. Springer (Certificate)