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: 06 Oct 2026
Journal Publication
1. Sheikh Bahauddin Arnab; Md Istakiak Adnan Palash; Rakibul Islam, Hemal Hossain Ovi; MohammadAbu Yousuf; Md Zia Uddin, “Analysis of Different Modality of Data to Diagnose Parkinson’s DiseaseUsing 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 DetectAlzheimer’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 AlNahian, “Detection of Fake Job Postings on Online using Convolutional Neural Network,” Journal ofFST, Bangladesh University of Professionals, Volume 01, Issue 01, Jul. 2022, pp. 207-217.
Last Updated: 06 Oct 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 ensemblelearning 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 theDetection of Lung Cancer from CT Scan Images,” in 2024 6th International Conference on ElectricalEngineering 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 JaberAl Nahian, and M. Shamim Kaiser, “VC-IDS: An Ensemble Learning Method based on Voting Classifierfor Intrusion Detection System using Machine Learning Algorithms,” in 2023 International Conferenceon 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 JaberAl Nahian, “Using Ensemble Approaches and Different Sampling Techniques to Handle Class ImbalanceChallenges in Coronary Heart Disease Prediction,” in 2023 International Conference on Information andCommunication Technology for Sustainable Development (ICICT4SD), pp. 31–35, IEEE, 2023.
5. Sana Ulla, Elmeeh Hasan Shipra, Mohammad Ahnaf Tahmeed, Pallab Saha, Md Istakiak AdnanPalash, and Md. Hossam-E-Haider, “Satnet: A lightweight satellite image classification model usingdeep convolutional neural network,” in 2023 IEEE International Conference on Telecommunications andPhotonics (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 ofInternational Conference on Fourth Industrial Revolution and Beyond 2021, Springer, 2022, pp. 125–139.
Last Updated: 06 Oct 2026
Researchs
Machine Learning
Deep Learning
Computer Vision
Biomedical Image Processing
Natural Language Processing
Last Updated: 06 Oct 2026
Awards
Achieved the Best Paper Award in the IEEE 2023 International Conference on Information and Communication
Technology for Sustainable Development (ICICT4SD)
Last Updated: 06 Oct 2026
Courses
CSE-2103: Object-Oriented Programming Language
CSE-2104: Object-Oriented Programming Language Laboratory
Last Updated: 06 Oct 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: 06 Oct 2026
1. Sheikh Bahauddin Arnab; Md Istakiak Adnan Palash; Rakibul Islam, Hemal Hossain Ovi; MohammadAbu Yousuf; Md Zia Uddin, “Analysis of Different Modality of Data to Diagnose Parkinson’s DiseaseUsing 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 DetectAlzheimer’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 AlNahian, “Detection of Fake Job Postings on Online using Convolutional Neural Network,” Journal ofFST, Bangladesh University of Professionals, Volume 01, Issue 01, Jul. 2022, pp. 207-217.
Last Updated: 06 Oct 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 ensemblelearning 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 theDetection of Lung Cancer from CT Scan Images,” in 2024 6th International Conference on ElectricalEngineering 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 JaberAl Nahian, and M. Shamim Kaiser, “VC-IDS: An Ensemble Learning Method based on Voting Classifierfor Intrusion Detection System using Machine Learning Algorithms,” in 2023 International Conferenceon 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 JaberAl Nahian, “Using Ensemble Approaches and Different Sampling Techniques to Handle Class ImbalanceChallenges in Coronary Heart Disease Prediction,” in 2023 International Conference on Information andCommunication Technology for Sustainable Development (ICICT4SD), pp. 31–35, IEEE, 2023.
5. Sana Ulla, Elmeeh Hasan Shipra, Mohammad Ahnaf Tahmeed, Pallab Saha, Md Istakiak AdnanPalash, and Md. Hossam-E-Haider, “Satnet: A lightweight satellite image classification model usingdeep convolutional neural network,” in 2023 IEEE International Conference on Telecommunications andPhotonics (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 ofInternational Conference on Fourth Industrial Revolution and Beyond 2021, Springer, 2022, pp. 125–139.
Last Updated: 06 Oct 2026
Last Updated:
Machine Learning
Deep Learning
Computer Vision
Biomedical Image Processing
Natural Language Processing
Last Updated: 06 Oct 2026
Achieved the Best Paper Award in the IEEE 2023 International Conference on Information and Communication
Technology for Sustainable Development (ICICT4SD)
Last Updated: 06 Oct 2026
Last Updated: 06 Oct 2026