Research & Publication

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. 

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. 

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 

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

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

Oliullah, K., Rasel, M.H., Islam, M.M. et al. A stacked ensemble machine learning approach for the prediction of diabetes. J Diabetes Metab Disord (2023). https://doi.org/10.1007/s40200-023-01321-2 

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.