Md. Sazzadul Islam Prottasha
Lecturer
Department of Information and Communication Technology
Faculty of Science & Technology (FST)
sazzadulislamprottasha@gmail.com
BANGLADESH UNIVERSITY OF
PROFESSIONALS
Mirpur Cantonment, Dhaka-1216
Biography
Last Updated: 19 Dec 2024
Education
H.S.C, Gurudayal Govt. College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
Last Updated: 19 Dec 2024
Journal Publication
1.
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
Last Updated: 19 Dec 2024
Conference Papers
1.
1. Alam, M., Sultana, M.,Shihab, T. I., Ahmed, S., Prottasha, M. S. I., & Mazumder, R. (2023). An Autism Detection Architecture with Fusion of Feature Extraction and Classification in 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).https://doi.org/10.1109/icict4sd59951.2023.10303542
2. Farin, S. M., Prottasha, M. S. I., & Reza, S. (2023). COVID-19 detection using lightweight CNN architecture on chest X-ray images in 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC),India. https://doi.org/10.1109/isacc56298.2023.10084139
Last Updated: 19 Dec 2024
Books
1.
Book Chapter (2023)
Prottasha, M. S. I., Farin, S. M., Ahmed, B., Rahman, M. Z., Hossain, A., & Kaiser, M. S. (2023). Deep Learning-Based Skin Disease Detection Using Convolutional Neural Networks (CNN). In Lecture notes in electrical engineering (pp. 551–564).https://doi.org/10.1007/978-981-19-8032-9_39
Last Updated: 19 Dec 2024
Researchs
1. Application of Machine Learning
2. Deep Learning
3. Image Processing
4. Computer Vision
5. Natural Language Processing
Last Updated: 19 Dec 2024
Awards
1. 1. Research Fellowship 2020-2021 from ICT Division, Bangladesh
2. 2. BUP Scholarship (2016-2020)
3. 3. Dean's Appreciation Letter
Last Updated: 19 Dec 2024
Courses
1.
2. Operating System (ICE 3103)
3. Database Management System Lab (ICE-2206)
4. Operating System Lab (ICE 3104)
5. Data Communication & Computer Networks Lab (ICE 2108)
6. Data Structure Lab (ICE 2204)
7. Digital Logic Design Lab (ICE 2106)
8. Artificial Intelligence (ICE 3201)
9. Artificial Intelligence Lab (ICE 3202)
Last Updated: 19 Dec 2024
H.S.C, Gurudayal Govt. College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
Last Updated: 19 Dec 2024
1.
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
Last Updated: 19 Dec 2024
1.
1. Alam, M., Sultana, M.,Shihab, T. I., Ahmed, S., Prottasha, M. S. I., & Mazumder, R. (2023). An Autism Detection Architecture with Fusion of Feature Extraction and Classification in 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).https://doi.org/10.1109/icict4sd59951.2023.10303542
2. Farin, S. M., Prottasha, M. S. I., & Reza, S. (2023). COVID-19 detection using lightweight CNN architecture on chest X-ray images in 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC),India. https://doi.org/10.1109/isacc56298.2023.10084139
Last Updated: 19 Dec 2024
1.
Book Chapter (2023)
Prottasha, M. S. I., Farin, S. M., Ahmed, B., Rahman, M. Z., Hossain, A., & Kaiser, M. S. (2023). Deep Learning-Based Skin Disease Detection Using Convolutional Neural Networks (CNN). In Lecture notes in electrical engineering (pp. 551–564).https://doi.org/10.1007/978-981-19-8032-9_39
Last Updated: 19 Dec 2024
Last Updated: 19 Dec 2024
Last Updated: 19 Dec 2024
Last Updated: 19 Dec 2024