Webmail UCAM BUP Admission website Certificate Verification Certificate Application NOC Academic Calendar 2026 Alumni Suggestion Freshers' Corner Contact

Md. Sazzadul Islam Prottasha

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

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. 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 in 2020.

Last Updated: 02 Apr 2026

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

Last Updated: 02 Apr 2026

Journal Publication

1.

2025

1. Prottasha, M. S. I., & Rafi, N. W. (2025). MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images, Journal of Machine Learning and Deep Learning (JMLDL), 2(3), pp. 1-9. https://doi.org/10.64820/AEPJMLDL.22.1.9.122025



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 (IJEECS), 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 (IJCDS), 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 (IJRRR), 8(4), pp. 16-21. https://doi.org/10.5281/zenodo.5760273

Last Updated: 02 Apr 2026

Conference Papers

1.

2023

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


2021
1. Prottasha, M. S. I., Tasnim, Z., Reza, S., & Hossain, D. A. (2021). A Lightweight CNN Architecture to Identify Various Rice Plant Diseases in Bangladesh. in 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) , https://doi.org/10.1109/icict4sd50815.2021.9396927

Last Updated: 02 Apr 2026

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: 02 Apr 2026

Researchs

1. Application of AI and Machine Learning


2. Deep Learning


3. Image Processing


4. Computer Vision


5. Natural Language Processing


6. Smart Grid and Power System

Last Updated: 02 Apr 2026

Awards

1. Research Fellowship  2020-2021 from ICT Division, Bangladesh


2. BUP Scholarship (2016-2020)


3. Dean's Letter of Appreciation


Last Updated: 02 Apr 2026

Courses

1. Artificial Intelligence(Theory + Lab)

2. Software & Requirements Engineering (Theory + Lab)

3. Operating System (Theory + Lab)

4. Database Management System (Theory + Lab)

5. Data Communication & Computer Networks Lab

6. Data Structure Lab

7. Digital Logic Design Lab

8. Software Testing Lab

Last Updated: 02 Apr 2026

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

Last Updated: 02 Apr 2026

1.

2025

1. Prottasha, M. S. I., & Rafi, N. W. (2025). MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images, Journal of Machine Learning and Deep Learning (JMLDL), 2(3), pp. 1-9. https://doi.org/10.64820/AEPJMLDL.22.1.9.122025



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 (IJEECS), 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 (IJCDS), 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 (IJRRR), 8(4), pp. 16-21. https://doi.org/10.5281/zenodo.5760273

Last Updated: 02 Apr 2026

1.

2023

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


2021
1. Prottasha, M. S. I., Tasnim, Z., Reza, S., & Hossain, D. A. (2021). A Lightweight CNN Architecture to Identify Various Rice Plant Diseases in Bangladesh. in 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) , https://doi.org/10.1109/icict4sd50815.2021.9396927

Last Updated: 02 Apr 2026

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: 02 Apr 2026

Application of AI and Machine Learning

Deep Learning

Image Processing

Computer Vision

Natural Language Processing

Smart Grid and Power System

Last Updated: 02 Apr 2026

Research Fellowship  2020-2021 from ICT Division, Bangladesh

BUP Scholarship (2016-2020)

Dean's Letter of Appreciation

Last Updated: 02 Apr 2026

Artificial Intelligence(Theory + Lab) Software & Requirements Engineering (Theory + Lab) Operating System (Theory + Lab) Database Management System (Theory + Lab) Data Communication & Computer Networks Lab Data Structure Lab Digital Logic Design Lab Software Testing Lab

Last Updated: 02 Apr 2026