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: 12 Jun 2024

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: 12 Jun 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 Science28(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: 12 Jun 2024

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: 12 Jun 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: 12 Jun 2024

Researchs

1. Application of Machine Learning


2.  Deep Learning


3. Image Processing


4. Computer Vision


5. Natural Language Processing


Last Updated: 12 Jun 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: 12 Jun 2024

Courses

1.

Database Management System (ICE-2205)

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: 12 Jun 2024

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: 12 Jun 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 Science28(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: 12 Jun 2024

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: 12 Jun 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: 12 Jun 2024

Application of Machine Learning

 Deep Learning

Image Processing

Computer Vision

Natural Language Processing

Last Updated: 12 Jun 2024

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

2. BUP Scholarship (2016-2020)

3. Dean's Appreciation Letter

Last Updated: 12 Jun 2024

Database Management System (ICE-2205)

Operating System (ICE 3103)

Database Management System Lab (ICE-2206)

Operating System Lab (ICE 3104)

Data Communication & Computer Networks Lab (ICE 2108)

Data Structure Lab (ICE 2204)

Digital Logic Design Lab (ICE 2106)

Artificial Intelligence (ICE 3201)

Artificial Intelligence Lab (ICE 3202)

Last Updated: 12 Jun 2024