Md. Sazzadul Islam Prottasha serves as a lecturer at the Department of Information and  Communication Technology at Bangladesh University of Professionals. He was born in Bangladesh, in 1995. He received his M. Sc. and B.Sc. degree in Information and Communication Engineering (ICE) from the Department of ICT at Bangladesh University of Professionals, Dhaka, in 2019 and 2020, respectively. He is a research enthusiast and many of his papers have been published in international journals and conferences. His research interests include Image Processing, the application of AI and ML, Computer Vision, and Time-series analysis. Mr. Prottasha has been awarded the prestigious ICT Fellowship from the Information and Communications Technology (ICT) Division of the Government of the People's Republic of Bangladesh for 2020.

S.S.C, Kishoreganj Govt. Boys High School
H.S.C, Gurudayal Govt. College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals

2022

1. Prottasha, M. S. I., & Reza, S. M. S. (2022). A classification model based on depthwise separable convolutional neural network to identify rice plant diseases, International Journal of Electrical and Computer Engineering (IJECE), 12(4), pp. 3642-3652. https://doi.org/10.11591/ijece.v12i4.pp3642-3654

2. Prottasha, M. S. I., Rahman, M. Z., Hossain, A. K., Mou, S. F., Ahmed, M. B., & Kaiser, M. S. (2022). Vote algorithm based probabilistic model for phishing website detection, Indonesian Journal of Electrical Engineering and Computer Science, 28(3), pp. 1582-1591. https://doi.org/10.11591/ijeecs.v28.i3.pp1582-1591

2021

1. Prottasha, M. S. I., Rahman, M. Z., Hossain, A. K., Reza, S. M. S. & Hossain, D. A. (2021). Identification of Various Rice Plant Diseases Using Optimized Convolutional Neural Network. International Journal of Computing and Digital System, 12(1), pp. 1539-1551. https://dx.doi.org/10.12785/ijcds/1201124

2020

1. Khan, M. T. I., Prottasha, M. S. I, Nasim,  T. A., Mehedi, A. A., Pranto, A. M. & Asad, N. A.  (2020). Performance Analysis of Various Machine Learning Classifiers on Reduced Chronic Kidney Disease Dataset. International Journal of Recent Research and Review, 8(4), pp. 16-21. https://doi.org/10.5281/zenodo.5760273