MD ISTAKIAK ADNAN PALASH
Lecturer
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Department of Information and Communication Technology
Faculty of Science & Technology (FST)
adnan@bup.edu.bd
BANGLADESH UNIVERSITY OF
PROFESSIONALS
Mirpur Cantonment, Dhaka-1216
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Overview
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Education
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Publication
Research Activites
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Awards
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Course Taught
Education
S.S.C, BAF Shaheen College Jashore
H.S.C, BAF Shaheen College Dhaka
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
H.S.C, BAF Shaheen College Dhaka
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
Last Updated: 17 Feb 2026
Journal Publication
1.
Sheikh Bahauddin Arnab; Md Istakiak Adnan Palash; Rakibul Islam, Hemal Hossain Ovi; Mohammad
Abu Yousuf; Md Zia Uddin, “Analysis of Different Modality of Data to Diagnose Parkinson’s Disease
Using Machine Learning and Deep Learning Approaches: A Review”, Expert Systems, Wiley, Volume 42,
Issue 2, February 2025. DOI: https://doi.org/10.1111/exsy.13790
2.
Tapotosh Ghosh; Md Istakiak Adnan Palash; Mohammad Abu Yousuf; Md. Abdul Hamid; Muham-
mad Mostafa Monowar; Madini O. Alassaf, “A Robust Distributed Deep Learning Approach to Detect
Alzheimer’s Disease from MRI Images”, Mathematics, MDPI (Q1), Volume 11, Issue 12, June 2023.
DOI: https://doi.org/10.3390/math11122633
3.
Md Istakiak Adnan Palash; Arijit Diganto; Osama Nazmul Fatan; Kazi Abu Taher; and Md Jaber Al
Nahian, “Detection of Fake Job Postings on Online using Convolutional Neural Network,” Journal of
FST, Bangladesh University of Professionals, Volume 01, Issue 01, Jul. 2022, pp. 207-217.
Last Updated: 16 Feb 2026
Conference Papers
1.
Md Istakiak Adnan Palash, Muntarin Rahman, Mohammad Abu Yousuf, and Mohammad Ali Moni,
“Explainable AI-based heart attack prediction model using various machine learning and ensemble
learning approaches,” in Applied Intelligence for Healthcare Informatics, pp. 1–13, CRC Press, 2025.
2.
Md Istakiak Adnan Palash and Mohammad Abu Yousuf, “A Federated Learning-based Model for the
Detection of Lung Cancer from CT Scan Images,” in 2024 6th International Conference on Electrical
Engineering and Information & Communication Technology (ICEEICT), pp. 741–745, IEEE, 2024.
3.
Md Istakiak Adnan Palash, Sana Ulla, A. K. M. Mohaiminul Islam, Sabbir Ahamed Mridha, Md Jaber
Al Nahian, and M. Shamim Kaiser, “VC-IDS: An Ensemble Learning Method based on Voting Classifier
for Intrusion Detection System using Machine Learning Algorithms,” in 2023 International Conference
on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 26–30,
IEEE, 2023.
4.
Muntarin Rahman, Md Istakiak Adnan Palash, Marufa Sultana Sumi, Muntasir Rahman, Md Jaber
Al Nahian, “Using Ensemble Approaches and Different Sampling Techniques to Handle Class Imbalance
Challenges in Coronary Heart Disease Prediction,” in 2023 International Conference on Information and
Communication Technology for Sustainable Development (ICICT4SD), pp. 31–35, IEEE, 2023.
5.
Sana Ulla, Elmeeh Hasan Shipra, Mohammad Ahnaf Tahmeed, Pallab Saha, Md Istakiak Adnan
Palash, and Md. Hossam-E-Haider, “Satnet: A lightweight satellite image classification model using
deep convolutional neural network,” in 2023 IEEE International Conference on Telecommunications and
Photonics (ICTP), pp. 01–05, IEEE, 2023.
6.
Md. Appel Mahmud Pranto; Nafiz Al Asad; Md Istakiak Adnan Palash; A. K. M. Mohaiminul Islam;
and M. Shamim Kaiser; ”Covid-19 Chest X-Ray Classification with Augmented GAN”, in Proceedings of
International Conference on Fourth Industrial Revolution and Beyond 2021, Springer, 2022, pp. 125–139.
Last Updated: 16 Feb 2026
Researchs
1. Machine Learning
2. Deep Learning
3. Computer Vision
4. Biomedical Image Processing
5. Natural Language Processing
Last Updated: 16 Feb 2026
Awards
1.
Achieved the Best Paper Award in the IEEE 2023 International Conference on Information and Communication
Technology for Sustainable Development (ICICT4SD)
Last Updated: 16 Feb 2026
Courses
1.
CSE-2103: Object-Oriented Programming Language
2.
CSE-2104: Object-Oriented Programming Language Laboratory
Last Updated: 16 Feb 2026
S.S.C, BAF Shaheen College Jashore
H.S.C, BAF Shaheen College Dhaka
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
H.S.C, BAF Shaheen College Dhaka
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals
Last Updated: 17 Feb 2026
1.
Sheikh Bahauddin Arnab; Md Istakiak Adnan Palash; Rakibul Islam, Hemal Hossain Ovi; Mohammad
Abu Yousuf; Md Zia Uddin, “Analysis of Different Modality of Data to Diagnose Parkinson’s Disease
Using Machine Learning and Deep Learning Approaches: A Review”, Expert Systems, Wiley, Volume 42,
Issue 2, February 2025. DOI: https://doi.org/10.1111/exsy.13790
2.
Tapotosh Ghosh; Md Istakiak Adnan Palash; Mohammad Abu Yousuf; Md. Abdul Hamid; Muham-
mad Mostafa Monowar; Madini O. Alassaf, “A Robust Distributed Deep Learning Approach to Detect
Alzheimer’s Disease from MRI Images”, Mathematics, MDPI (Q1), Volume 11, Issue 12, June 2023.
DOI: https://doi.org/10.3390/math11122633
3.
Md Istakiak Adnan Palash; Arijit Diganto; Osama Nazmul Fatan; Kazi Abu Taher; and Md Jaber Al
Nahian, “Detection of Fake Job Postings on Online using Convolutional Neural Network,” Journal of
FST, Bangladesh University of Professionals, Volume 01, Issue 01, Jul. 2022, pp. 207-217.
Last Updated: 16 Feb 2026
1.
Md Istakiak Adnan Palash, Muntarin Rahman, Mohammad Abu Yousuf, and Mohammad Ali Moni,
“Explainable AI-based heart attack prediction model using various machine learning and ensemble
learning approaches,” in Applied Intelligence for Healthcare Informatics, pp. 1–13, CRC Press, 2025.
2.
Md Istakiak Adnan Palash and Mohammad Abu Yousuf, “A Federated Learning-based Model for the
Detection of Lung Cancer from CT Scan Images,” in 2024 6th International Conference on Electrical
Engineering and Information & Communication Technology (ICEEICT), pp. 741–745, IEEE, 2024.
3.
Md Istakiak Adnan Palash, Sana Ulla, A. K. M. Mohaiminul Islam, Sabbir Ahamed Mridha, Md Jaber
Al Nahian, and M. Shamim Kaiser, “VC-IDS: An Ensemble Learning Method based on Voting Classifier
for Intrusion Detection System using Machine Learning Algorithms,” in 2023 International Conference
on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 26–30,
IEEE, 2023.
4.
Muntarin Rahman, Md Istakiak Adnan Palash, Marufa Sultana Sumi, Muntasir Rahman, Md Jaber
Al Nahian, “Using Ensemble Approaches and Different Sampling Techniques to Handle Class Imbalance
Challenges in Coronary Heart Disease Prediction,” in 2023 International Conference on Information and
Communication Technology for Sustainable Development (ICICT4SD), pp. 31–35, IEEE, 2023.
5.
Sana Ulla, Elmeeh Hasan Shipra, Mohammad Ahnaf Tahmeed, Pallab Saha, Md Istakiak Adnan
Palash, and Md. Hossam-E-Haider, “Satnet: A lightweight satellite image classification model using
deep convolutional neural network,” in 2023 IEEE International Conference on Telecommunications and
Photonics (ICTP), pp. 01–05, IEEE, 2023.
6.
Md. Appel Mahmud Pranto; Nafiz Al Asad; Md Istakiak Adnan Palash; A. K. M. Mohaiminul Islam;
and M. Shamim Kaiser; ”Covid-19 Chest X-Ray Classification with Augmented GAN”, in Proceedings of
International Conference on Fourth Industrial Revolution and Beyond 2021, Springer, 2022, pp. 125–139.
Last Updated: 16 Feb 2026
Last Updated: 17 Feb 2026
Machine Learning
Deep Learning
Computer Vision
Biomedical Image Processing
Natural Language Processing
Last Updated: 16 Feb 2026
Achieved the Best Paper Award in the IEEE 2023 International Conference on Information and Communication
Technology for Sustainable Development (ICICT4SD)
Last Updated: 16 Feb 2026
CSE-2103: Object-Oriented Programming Language
CSE-2104: Object-Oriented Programming Language Laboratory
Last Updated: 16 Feb 2026