Master of Science, Biomedical Engineering, Khulna University of Engineering and Technology
Bachelor of Science, Biomedical Engineering, Khulna University of Engineering and Technology
Dutta, A., Hasan, M.K., Ahmad, M., Awal, M.A., Islam, M.A., Masud, M., & Meshref, H. (2022). Early Prediction of Diabetes Using an Ensemble of Machine Learning Models. Int J Environ Res Public Health, 19(19).MDPI. doi: 10.3390/ijerph191912378.
Dutta, A., Kamrul Hasan, M., & Ahmad, M. (2021). Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition. In Proceedings of International Joint Conference on Advances in Computational Intelligence. (pp. 55-66).Springer Nature. doi: 10.1007/978-981-16-0586-4_5.
Hasan, K., Alam, A., Roy, S., Dutta, A., Jawad, T., & Das, S. (2021). Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021). Informatics in Medicine Unlocked, 27, 100799.Elsevier. doi: 10.1016/j.imu.2021.100799.
Hasan, M.K., Jawad, M.T., Dutta, A., Awal, M.A., Islam, M.A., Masud, M., & Al-Amri, J.F. (2021). Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models. IEEE ACCESS, 9, 119613-119628.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ACCESS.2021.3108551.
Hasan, M.K., Roy, S., Mondal, C., Alam, M.A., Elahi, M.T.E., Dutta, A., Raju, S.M.T.U., Jawad, M.T., & Ahmad, M. (2021). Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 68.Elsevier. doi: 10.1016/j.bspc.2021.102661.
Mondal, C., Hasan, K., Ahmad, M., Awal, A., Jawad, T., Dutta, A., Islam, R., & Moni, M.A. (2021). Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images. Informatics in Medicine Unlocked, 27, 100794.Elsevier. doi: 10.1016/j.imu.2021.100794.
Riyed, T.H., Nabi, T., Dutta, A., Hasan, K., Anik, F.W., & Ornob, A. (2023). Gestational Diabetes Prediction in Pregnancy: A Machine Learning and Data Preprocessing Approach. In 2023 26th International Conference on Computer and Information Technology (ICCIT), 00, (pp. 1-6).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/iccit60459.2023.10441112.
