Deakin University, Geelong, VIC 3220, Australia (Melbourne Burwood Campus)

Rajshahi University of Engineering & Technology (RUET), Rajshahi-6204, Bangladesh

Hajee Mohammad Danesh Science and Technology University, Dinajpur-5200, Bangladesh

Jharbari Degree College, Jharbari, Birganj, Dinajpur, Bangladesh

Jharbari Dwi-Mukhi High School, Jharbari, Birganj, Dinajpur, Bangladesh

August 18, 2021 to Present

August 18, 2016 to August 17, 2021

August 18, 2013 to August 17, 2016

May 20, 2013 to August 17, 2013

Shadman Sobhan, Kazi Abrar Mahmud, Abduz Zami, Mohiuddin Ahmed, and Md Palash Uddin*, “MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification”, Biomedical Signal Processing and Control (IF = 4.9, Q1), 2025

Shantanu Pal, Geeta Yadav, Zahra Jadidi, Ahsan Habib, Md Palash Uddin, Chandan Karmakar, and Sandeep Shukla, “Vulnerabilities in Machine Learning for Cybersecurity: Current Trends and Future Research Directions”, Journal of Information Security and Applications (IF= 3.7, Q1), 2025.

Md Rashedul Islam, Md Palash Uddin*, Yong Xiang, Kuo-Hui Yeh, Lu Liu, and Jonathan Kua, “Federated Learning with Adaptive Regularization for Efficient Edge Data Corruption Detection in Edge Intelligence”, IEEE Transactions on Cloud Computing (IF = 5.0, Q1), 2025.

Md Palash Uddin*, Yong Xiang, Mahmudul Hasan, Yao Zhao, Youyang Qu, and Longxiang Gao, “Fast Convergent Federated Learning via Decaying SGD Updates”, IEEE Transactions on Big Data (IF = 5.7, Q1), 2025.

Md Jahid Hasan, Mahmudul Hasan, Sumya Akter, Abu Bakar Siddique Mahi, and Md Palash Uddin*, “Enhancing Brain Tumor Classification with a Novel Attention Based Explainable Deep Learning Framework”, Biomedical Signal Processing and Control (IF = 4.9, Q1), 2025.

Al Mahmud Siam, Pankaj Bhowmik, and Md Palash Uddin*, “Hybrid Feature Selection Framework for Enhanced Credit Card Fraud Detection Using Machine Learning Models”, Plos One (IF = 3.7, Q1), 2025.

Zeseya Sharmin, Yong Xiang, Md Palash Uddin, Feifei Chen, Yushu Zhang, and Jine Tang, "Federated TSRN-Enabled GANs for Effective Cyber Attack Detection in Edge Computing", IEEE Transactions on Network Science and Engineering (IF = 6.7, Q1), 2025.

Md Amir Hamja, Mahmudul Hasan, Md Ziaul Hasan, Md Palash Uddin, and Md Jahangir Alam Siddikee, “An Explainable Machine Learning-Based Employee Attrition Predictive System”, Annals of Data Science (IF = 3.11, Q1), 2025.

Md Minhazul Islam, S. M. Mahedy Hasan, Md. Rakib Hossain, Md Palash Uddin*, and Md Al Mamun, “Towards sustainable solutions: effective waste classification framework via enhanced deep convolutional neural networks”, Plos One (IF = 3.7, Q1), 2025.

Zihao Zheng, Borui Cai, Yong Xiang, Yao Zhao, Md Palash Uddin, and Keshav Sood, “A Federated Compositional Knowledge Graph Embedding for Communication Efficiency”, Knowledge‑Based Systems (IF = 7.2, Q1), 2025.

Anjir Chowdhury, S M Hasan Mahmud, Md Palash Uddin, Seifedine Kadry, Jung‑Yeon Kim, and Yunyoung Nam, “Nuclei Segmentation and Classification from Histopathology Images using Federated Learning for End-Edge Platform”, Plos One (IF = 3.7, Q1), 2025.

Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Jun Bai, Yao Zhao, and Longxiang Gao, “A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions”, ACM Computing Surveys (Impact Factor = 23.8; JCR Q1; SCImago Q1), 2025.

Tanver Likhon, Adiba Mahjabin Nitu, Masud Ibn Afjal, Md Abdulla Al Mamun, and Md Palash Uddin, “Segmentation-based Deep 2D-3D Multibranch Learning Approach for Effective Hyperspectral Image Classification”, PLOS One (Impact Factor = 2.9; SCImago Q1), 2025.

Yao Zhao, Yong Xiang, Md Palash Uddin, Yushu Zhang, Lu Liu, Yansong Liu, and Longxiang Gao, “AirDIV: Over‑the‑Air Cloud‑Fog Data Integrity Verification Scheme for Industrial Cyber‑Physical Systems”, IEEE Journal on Selected Areas in Communications (IF = 13.8, Q1), 2025.

Md Mamunur Rashid, Yong Xiang, Md Palash Uddin, Jine Tang, Keshav Sood, and Longxiang Gao, “Trustworthy and Fair Federated Learning via Reputation-Based Consensus and Adaptive Incentives”, IEEE Transactions on Information Forensics & Security (IF= 6.3, Q1, A*), 2025.

Priyanka Roy, Mahmudul Hasan, Md Rashedul Islam, and Md Palash Uddin*, “Interpretable artificial intelligence (AI) for cervical cancer risk analysis leveraging stacking ensemble and expert knowledge”, Digital Health (IF = 3.9, Q2), 2025.

Md Rashedul Islam, Yong Xiang, Md Palash Uddin, Yao Zhao, Jonathan Kua, and Longxiang Gao, “Multiple Edge Data Integrity Verification with Multi‑Vendors and Multi‑Servers in Mobile Edge Computing”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 2025.

Anwar Hossain Efat, S. M. Mahedy Hasan, Md Palash Uddin, and  Faysal Hossain Emon, “ Inverse Gini Indexed Averaging: A Multi-Levelled Ensemble Approach for Skin Lesion Classification Using Attention-Integrated Customized ResNet Variants”, Digital Health (IF = 3.9, Q2), 2024.

Mohammad Sakif Alam, Anwar Hossain Efat, S. M. Mahedy Hasan, and Md Palash Uddin, “Refining Breast Cancer Classification: Customized Attention Integration Approaches with Dense and Residual Networks for Enhanced Detection”, Digital Health (IF = 3.9, Q2), 2024.

Md Palash Uddin, Yong Xiang, Yao Zhao, Mumtaz Ali, Yushu Zhang, and Longxiang Gao, “Adaptive Regularization and Resilient Estimation in Federated Learning”, IEEE Transactions on Services Computing (IF = 5.5, Q1, A*), 17(4): 1369 – 1381, 2023.

Md Palash Uddin, Yong Xiang, Xuequan Lu, John Yearwood, and Longxiang Gao, “Adaptive and Robust Federated Learning”, IEEE Transactions on Mobile Computing (IF = 7.7, Q1, A*), 25(5): 5401 - 5417, 2023.

Muhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin, Kamran Siddique, Zahid Akhtar and Sadia Waheed, “Federated Learning for Analysis of Medical Images: A Survey”, Journal of Computer Science (SJR IF= 0.2, Q4), 20(12):  1610-1621, 2024.

Mahmudul Hasan, Md. Fazle Rabbi, Md. Nahid Sultan, Adiba Mahjabin Nitu, and Md Palash Uddin, “A Novel Data Balancing Technique via Resampling Majority and Minority Classes Toward Effective Classification”, TELKOMNIKA (Telecommunication Computing Electronics and Control) (SJR IF= 0.26, Q3), 21(6), 2023. 

Meer Hazar Khan, Muhammad Imran Sharif, Mehwish Mehmood, Fernaz Narin Nur, Md Palash Uddin, Zahid Akhtar, “Enhancing Semantic Web Retrieval Through Ontology‑Driven Feature Extraction: A Novel Proposition”, Journal of Computer Science (SJR IF= 0.2, Q4), 20(5): 487‑494, 2024. 

Md. Rashedul Islam, Adiba Mahjabin Nitu, Md. Abdulla Al Mamun, Md. Abu Marjan, Md Palash Uddin, and Masud Ibn Afjal, “An Educational Data Mining System for Predicting Students’ Programming Performance”, Journal of Information Hiding and Multimedia Signal Processing (SJR IF= 0.4, Q3), 14(3), 2023.

Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Md Palash Uddin, and Longxiang Gao, “Winning at the Starting Line: Unreliable Data Replica Selection for Edge Data Integrity Verification”, IEEE Transactions on Services Computing (IF =5.5, Q1, A*), 2024.

Yao Zhao, Youyang Qu, Yong Xiang, Md Palash Uddin, Dezhong Peng, and Longxiang Gao, “A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends”, ACM Computing Surveys (IF= 23.8, Q1), 2024.

Md. Abdus Sahid, Md Palash Uddin*, Hasi Saha, and Md Rashedul Islam, “Towards Privacy‑Preserving Alzheimer’s Disease Classification: Federated Learning on T1‑weighted MRI Data”, Digital Health (IF = 3.9, Q2), 2024.

Md Moshiur Rahman, Md. Abu Marjan, Md Rashedul Islam, Md Palash Uddin* and Masud Ibn Afjal, “Segmented‑Truncated‑SVD for Effective Feature Extraction in Hyperspectral Image Classification”, International Journal of Remote Sensing (IF = 3.4, Q1), 2024.

Mohammed Diykh, Mehdi Jamei, Shahab Abdulla, Md Palash Uddin, Aitazaz A. Farooque, Abdulhaleem H. Labban, Hussein Alabdally, and Mumtaz Ali “Empirical Curvelet Transform Based Deep DenseNet Model to Predict NDVI Using RGB Drone Imagery Data”, Computers and Electronics in Agriculture (IF= 7.7, Q1), 2024. 

Anwar Hossain Efat, S.M. Mahedy Hasan, Md Palash Uddin*, and Md Al Mamun, “A Multi‑level Ensemble Approach for Skin Lesion Classification using Customized Transfer Learning with Triple Attention”, Plos One (IF = 2.9, Q1), 2024.

Md. Abdus Sahid, Mozaddid Ul Hoque Babar, and Md Palash Uddin*, “Predictive modeling of multi‑class diabetes mellitus using machine learning and filtering iraqi diabetes data dynamics”, Plos One (IF = 2.9, Q1), 19(5), 2024.

Mahmudul Hasan, Md. Abdus Sahid and Md Palash Uddin*, Md Abu Marjan, Seifedine Kardy, and Jungeun Kim, “Performance Discrepancy Mitigation in Heart Disease Prediction for Multisensory Inter‑Datasets”, PeerJ Computer Science (IF= 3.5, Q1), 2024.  

Md Rashedul Islam, Adiba Mahjabin Nitu, Md Abu Marjan, Md Palash Uddin*, Masud Ibn Afjal, and Md Abdulla Al Mamun, “Enhancing Tertiary Students’ Programming Skills with an Explainable Educational Data Mining Approach”, Plos One (IF = 2.9, Q1), 2024.  

Md. Touhid Islam, Md. Rashedul Islam, Md Palash Uddin, Anwaar Ulhaq, “Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery”, Remote Sensing (IF= 4.2, Q1), 2024.

Md. Rashedul Islam, Md. Touhid Islam, Md Palash Uddin, Anwaar Ulhaq, “Improving Hyperspectral Image Classification with Compact Multi‑Branch Deep Learning”, Remote Sensing (IF= 4.2, Q1), 2024. 

Sadi Md. Redwan, Md Palash Uddin, Anwaar Ulhaq and Muhammad Imran Sharif,” Power Spectral Density‑Based Resting‑ State EEG Classification of First‑Episode Psychosis”, Scientific Reports (IF= 3.8, Q1), 2024.   

Mahmudul Hasan, Tanver Ahmed, Md Rashedul Islam, and Md Palash Uddin*, “Leveraging Textual Information for Social Media News Categorization and Sentiment Analysis”, Plos One (IF = 3.7, Q1), 2024.    

Mostarina Mitu, S. M. Mahedy Hasan, Md Palash Uddin, Md Al Mamun, Venkatesan Rajinikanth, and Seifedine Kadry, “A stroke prediction framework using explainable ensemble learning”, Computer Methods in Biomechanics and Biomedical Engineering (IF= 1.7, Q2), 2024.

Mahmudul Hasan, Md Abu Marjan, Md Palash Uddin*, Masud Ibn Afjal, Seifedine Kardy, Shaoqi Ma, and Yunyoung Nam, “Ensemble machine learning‑based recommendation system for effective prediction of suitable agricultural crop cultivation”, Frontiers in Plant Science (IF= 4.1, Q1), 2023. 

Md. Touhid Islam, Md. Rashedul Islam, Md Palash Uddin and Anwaar Ulhaq, “A Deep Learning‑based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling”, Remote Sensing (IF= 4.2, Q1), 2023.

Md. Rashedul Islam, Md. Touhid Islam, and Md Palash Uddin, “Improving hyperspectral image classification through spectral-spatial feature reduction with a hybrid approach and deep learning “, Journal of Spatial Science (IF= 1.84, Q1), 2023

Md Rashedul Islam, Ayasha Siddiqa, Masud Ibn Afjal, Md Palash Uddin and Anwaar Ulhaq, "Hyperspectral Image Classification via Information Theoretic Dimension Reduction”, Remote Sensing (Impact Factor= 5.349, SCIE Indexing, SCImago Quartile#1: Q1), 2023

Md. Saifur Rahman, Md Palash Uddin, and Sikyung Kim, "An IoT-enabled Ground Loop Detection System: Design, Implementation and Testing", Journal of Circuits, Systems and Computers (Impact Factor= 1.278, SCIE Indexing, SCImago Quartile\#3: Q3), 2023.

Md Palash Uddin, Yong Xiang, Xuequan Lu, John Yearwood, and Longxiang Gao, "Federated Learning via Disentangled Information Bottleneck", IEEE Transactions on Services Computing (Impact Factor= 11.019, SCIE Indexing, SCImago Quartile#1: Q1, Core Ranking: A*), 2022.

Youyang Qu, Md Palash Uddin, Chenquan Gan, Yong Xiang, Longxiang Gao, and John Yearwood, "Blockchain-enabled Federated Learning: A Survey", ACM Computing Surveys (Impact Factor= 10.282, SCIE Indexing, SCImago Quartile#1: Q1, Core Ranking: A*), 2022.

Md Rashedul Islam, Boshir Ahmed, Md Ali Hossain, and Md Palash Uddin, "Mutual Information Driven Feature Reduction for Hyperspectral Image Classification'', Sensors (Impact Factor= 3.847, SCIE Indexing, SCImago Quartile#1: Q1), 2023.

S. M. Mahedy Hasan, Md Palash Uddin, Md Al Mamun, Muhammad Imran Sharif, and Anwaar Ulhaq, "A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders'', IEEE Access (Impact Factor= 3.476, SCIE Indexing, SCImago Quartile#1: Q1), 2022.

Md Rakibul Haque, Sadia Zaman Mishu, Md. Palash Uddin, and Md. Al Mamun, "A lightweight 3D-2D convolutional neural network for spectral-spatial classification of hyperspectral image", IOP Journal of Intelligent & Fuzzy Systems (Impact Factor= 1.851, SCIE Indexing, SCImago Quartile#2: Q2), 2022.

Md Palash Uddin, Yong Xiang, John Yearwood, and Longxiang Gao, “Robust Federated Averaging via Outlier Pruning,” IEEE Signal Processing Letters (IF= 3.109, SCIE, Q1), 2021

Md. Abu Marjan, Md. Palash Uddin, and Masud Ibn Afjal, “An Educational Data Mining System for Predicting and Enhancing Tertiary Students’ Programming Skill,” The Computer Journal (IF= 1.494, SCIE, Q2), 2021

Md. Palash Uddin, Md. Al Mamun, Md. Ali Hossain, and Masud Ibn Afjal, “Improved Folded-PCA for Efficient Remote Sensing Hyperspectral Image Classification,” Geocarto International (IF= 4.889, SCIE, Q1), 2021

M. P. Uddin, Y. Xiang, X. Lu, J. Yearwood, and L. Gao, "Mutual Information Driven Federated Learning," IEEE Transactions on Parallel and Distributed Systems (Core ranking: A*; 2019 IF= 2.6, SCIE, Q1 ), Vol. 32, No. 7, pp. 1526 – 1538, 2021.

Md. Abu Marjan, Md. Rashedul Islam, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun, "PCA-based Dimensionality Reduction for Face Recognition," TELKOMNIKA (Telecommunication Computing Electronics and Control) (2020 SJR IF=0.26, Scopus, Q3), Vol. 19, No. 5, 2021.

Masud Ibn Afjal, Md. Palash Uddin, Md. Al Mamun, and Md. Abu Marjan, "An Efficient Lossless Compression Technique for Remote Sensing Images using Segmentation based Band Reordering Heuristics," International Journal of Remote Sensing (IJRS (2019 IF= 2.976, SCIE, Q1), 2020. 

Md. Palash Uddin, Md. Al Mamun, Masud Ibn Afjal, and Md. Ali Hossain, "Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification," International Journal of Remote Sensing (IJRS), (2019 IF= 2.976, SCIE, Q1), 2020.

Sadia Zaman Mishu, Boshir Ahmed, Md. Ali Hossain and Md. Palash Uddin, "Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification," International Journal of Remote Sensing (IJRS), (2019 IF= 2.976, SCIE, Q1), vol. 41, issue. 19, pp.  7541-7564, 2020.

Md. Palash Uddin, Md. Al Mamun and Md. Ali Hossain, "PCA-based Feature Reduction for Efficient Hyperspectral Image Classification," IETE Technical Review, (2019 IF= 1.845, SCIE, Q2), 2020.

Md. Palash Uddin, Md. Al Mamun and Md. Ali Hossain, "Effective feature extraction through segmentation-based folded-PCA for hyperspectral image classification," International Journal of Remote Sensing (IJRS), ( 2019 IF= 2.976, SCIE, Q1), vol. 40, 2019- Issue. 18, pp. 7190-7220, 2019.

Masud Ibn Afjal, Md. Al Mamun and Md. Palash Uddin, "Band Reordering Heuristics for Lossless Satellite Image Compression with 3D-CALIC and CCSDS," Journal of Visual Communication and Image Representation (JVCI), (2019 IF= 2.479, SCIE, Q1), vol. 59, pp. 514-526, 2019.

Iqbal Mahmud, Tasnim Tabassum, Md. Palash Uddin, Emran Ali, Masud Ibn Afjal, Adiba Mahjabin Nitu, "Enhancement of Single-Handed Bengali Sign Language Recognition Based on Hog Features", Journal of Theoretical and Applied Information Technology, (2019 SJR IF=0.628, Scopus, Q3), vol. 98 no. 05, pp. 743-756, 2020.

Adiba Mahjabin Nitu, Md. Palash Uddin, Priyanka Basak Tumpa, Sabina Yeasmin and Masud Ibn Afjal "An Enhanced Extractive Text Summarization Method for Multiple Documents", Journal of Theoretical and Applied Information Technology, ( 2019 SJR IF=0.628, Scopus, Q3), vol. 97 no. 23, pp. 3475-3485, 2019.

Moshiur Rahman, Iqbal Mahmud, Md. Palash Uddin, Masud Ibn Afjal, Md. Ahsan Habib and Faisal Kabir "Handwritten Bengali Character Recognition through Geometry Based Feature Extraction," Journal of Theoretical and Applied Information Technology, (2019 SJR IF=0.628, Scopus, Q3), vol. 97 no. 23, pp. 3570-3582, 2019.

U. A. Md. Ehasn Ali, Md. Shohrawordi and Md. Palash Uddin, "A Robust and Secured Image Steganography using LSB and Random Bit Substitution," American Journal of Engineering Research (AJER), vol. 8, issue. 2, pp-39-44, 2019.

Md. Abdullah Al Mamun, Md. Ariful Islam, Masud Ibn Afjal, Md. Abdulla Al Mamun, U. A. Md. Ehsan Ali and Md. Palash Uddin, "Feature Extraction Using Uniform Pattern based Standard Deviation for Face Recognition," HBRP Advancement in Image Processing and Pattern Recognition, vol. 1 issue. 2, pp. 32-38, 2018. 

Sharmin Sultana, Afrida Khanam, Md. Rashedul Islam, Adiba Mahjabin Nitu, Md. Palash Uddin, Masud Ibn Afjal and Md. Fazle Rabbi, "A Modified Filtering Approach of LSB Image Steganography Using Stream Builder along with AES Encryption," HBRP Recent Trends in Information Technology and its Applications, vol. 1 issue. 2, pp. 1-10, 2018

Abir Chandra Roy, Khairat Hossin, Md. Palash Uddin, Md. Abdulla Al Mamun, Masud Ibn Afjal and Adiba Mahjabin Nitu, "Detection and Classification of Geometric Shape Objects for Industrial Applications," HBRP Advancement in Image Processing and Pattern Recognition, vol. 1 issue. 2, pp. 11-19, 2018. 

Popi Basak, Laila Arjuman, Adiba Mahjabin Nitu, Masud Ibn Afjal, Md. Palash Uddin, Md. Fazle Rabbi and Md. Rashedul Islam, "A Modified Blind Steganalysis Method Based on the Moments of Characteristic Function," HBRP Advancement in Software Engineering and Testing, vol. 1, issue. 2, pp. 1-9, 2018. 

Md. Fazle Rabbi, Md. Palash Uddin, Md. Arshad Ali, Md. Faruk Kibria, Masud Ibn Afjal, Md. Safiqul Islam and Adiba Mahjabin Nitu, "Performance Evaluation of Data Mining Classification Techniques for Heart Disease Prediction," American Journal of Engineering Research (AJER), vol. 7, issue. 2, pp-278-283, 2018.

Sabina Yeasmin, Priyanka Basak Tumpa, Adiba Mahjabin Nitu, Md. Palash Uddin, Emran Ali and Masud Ibn Afjal, "Study of Abstractive Text Summarization Techniques," American Journal of Engineering Research (AJER), vol. 6, issue. 8, pp-253-260, 2017.    

Md Touhid Islam, Yong Xiang, Yao Zhao, Md Palash Uddin*, Trina Myers, and Ayon Chakraborty, "An Optimized Merkle Hash Tree Approach for Efficient Edge Data Integrity Verification", IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), 3-5 December 2025, Osaka, Japan

Mahmudul Hasan, Md Palash Uddin*, Yong Xiang, John Yearwood, and Longxiang Gao, “Policy Gradient–Based Reinforcement Weighted Aggregation for Efficient Federated Learning on Heterogeneous Data”, Australasian Joint Conference on Artificial Intelligence (AJCAI) (CORE B), Canberra, Australia, 2025.

Al Mahmud Siam, Pankaj Bhowmik, Hasi Saha, Md Palash Uddin, Adiba Mahjabin Nitu, “ Incorporating Feature Fusion Engineering and Ensemble Learning for Effective Credit Card Fraud Detection”,  27th IEEE International Conference on Computer and Information Technology, Bangladesh, 2024 (In Press).

Md. Abdus Sahid, Hasi Saha, and Md Rashedul Islam and Md Palash Uddin, “Enhancing Parallelism in Cross-silo Federated Learning for Brain Disease Classification”, IEEE Conference on Computing, Applications and Systems, Bangladesh, 2024   .  

Md. Hasanul Bari, Tanver Ahmed, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md Abu Marjan, “Segmented Nonnegative Matrix Factorization for Hyperspectral Image Classification”, IEEE 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE), Bangladesh, 2023. 

Md. Abu Marjan, Mahmudul Hasan, Md. Zahidul Islam, Md. Palash Uddin, Masud Ibn Afjal, "Masked Face Recognition System using Extended VGG-19", IEEE 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Bangladesh, 2022.

Md. Shahriar Haque Shemul, Md. Moshiur Rahman, Shabbir Ahmed, Md. Abu Marjan, Md. Palash Uddin and Masud Ibn Afjal, "Segmented-Sparse-PCA for Hyperspectral Image Classification",  IEEE 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Bangladesh, 2022.

Shabbir Ahmed, Md Abu Marjan, Md Moshiur Rahman, Md Shahriar Haque, Md Palash Uddin, and Masud Ibn Afjal, "Spectrally-Segmented-Incremental-PCA for Hyperspectral Image Classification", IEEE 25th International Conference on Computer and Information Technology (ICCIT 2022), Bangladesh, 2022.

Tanver Ahmed, Md. Hasanul Bari, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md. Abu Marjan, "Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification", IEEE 4th International Conference on Trends in Computational and Cognitive Engineering (TCCE-2022), Bangladesh, 2022.

Shabbir Ahmed, Md Moshiur Rahman, Md Shahriar Haque, Md Abu Marjan, Md Palash Uddin, and Masud Ibn Afjal, "Segmented-Incremental-PCA for Hyperspectral Image Classification", International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Bangladesh, 2022.

Md Moshiur Rahman, Shabbir Ahmed, Md Shahriar Haque, Md Abu Marjan, Md Palash Uddin, and Masud Ibn Afjal, "Segmented-Truncated-SVD for Effective Feature Extraction in Hyperspectral Image Classification", International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Bangladesh, 2022.

Md. Hasanul Bari, Tanver Ahmed, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md Abu Marjan, "Effective Feature extraction via Folded-Sparse-PCA for Hyperspectral Image classification", International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Bangladesh, 2022.

Md. Al Mamun, Abu Zahid Bin Aziz, Md. Palash Uddin, and Md Rahat, “Prediction of the dengue incidence in Bangladesh using machine learning,” Springer International Conference on Big Data, IoT and Machine Learning (BIM 2021), Bangladesh, 2021

Sumona Akter Shimu, Mouluda Akter, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md. Palash Uddin and  Md. Al Mamun, "NDVI Based Change Detection in Sundarban Mangrove Forest Using Remote Sensing Data,"  4th IEEE International Conference on Electrical Information and Communication Technology (EICT), Bangladesh, 2019.

Mahmudul Hasan Moon, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun, Md. Abu Marjan and Adiba Mahjabin Nitu, "A Cryptographic Algorithm Based on ASCII and Number System Conversions along with a Cyclic Mathematical Function," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2019. 

Sadi Mohammud Syfullah, Zareen Binta Zakaria, Md. Palash Uddin, Md. Fazle Rabbi, Masud Ibn Afjal and Adiba Mahjabin Nitu, "Efficient Vector Code-book Generation using K-means and Linde-Buzo-Gray (LBG) algorithm for Bengali Voice Recognition," IEEE International Conference on Advancement in Electrical and Electronic Engineering - (ICAEEE 2018), Bangladesh, 2018.

Iqbal Mahmud, Tasnim Tabassum, Md. Palash Uddin, Emran Ali, Adiba Mahjabin Nitu and Masud Ibn Afjal, "Efficient Noise Reduction and HOG Feature Extraction for Sign Language Recognition," IEEE International Conference on Advancement in Electrical and Electronic Engineering - (ICAEEE 2018), Bangladesh, 2018.

Masud Ibn Afjal, Md. Al Mamun, Md. Palash Uddin, "Weighted-Correlation based Band Reordering Heuristics for Lossless Compression of Remote Sensing Hyperspectral Sounder Data," IEEE International Conference on Advancement in Electrical and Electronic Engineering - (ICAEEE 2018), Bangladesh, 2018. (Received Best Paper Award).

Md Farhad Mokter, Sumya Akter, Md. Palash Uddin, Masud Ibn Afjal, Md. Al Mamun and Md. Abu Marjan, "An Efficient Technique for Representation and Compression of Bengali Text," IEEE International Conference on Bangla Speech and Language Processing (ICBSLP), Bangladesh, 2018.

M. H. O. Rashid, Md. Al Mamun, Md. Ali Hossain and Md. Palash Uddin, "Brain Tumor Detection Using Anisotropic Filtering, SVM Classifier and Morphological Operation from MR Images," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2018.

Md. Rajib Mahmud, Md. Al Mamun, Md. Ali Hossain and Md. Palash Uddin, "Comparative Analysis of K-Means and Bisecting K-Means Algorithms for Brain tumor detection," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2018.

S. M. Mahedy Hasan, Md. Al Mamun, Md. Palash Uddin and Md. Ali Hossain, "Comparative Analysis of Classification Approaches for Heart Disease Prediction," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2018.

Masud Ibn Afjal, Md. Al Mamun, Md. Palash Uddin, "Band Reordering Heuristic for Lossless Satellite Image Compression with CCSDS," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2018.

Priyanka Basak Tumpa, Sabina Yeasmin, Adiba Mahjabin Nitu, Md. Palash Uddin, Masud Ibn Afjal and Md. Abdulla Al Mamun, "An Improved Extractive Summarization Technique for Bengali Text(s)," IEEE International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), Bangladesh, 2018.

Md. Palash Uddin, Md. Al Mamun and Md. Ali Hossain, "Improved Feature Extraction Using Segmented FPCA for Hyperspectral Image Classification," 2nd IEEE International Conference on Electrical & Electronic Engineering (ICEEE), Bangladesh, 2017.

Md. Palash Uddin, Md. Al Mamun and Md. Ali Hossain, "Feature Extraction for Hyperspectral Image Classification," 5th  IEEE  Region 10 Humanitarian Technology Conference (R10HTC), pp. 379-382, Bangladesh, 2017. (Received Best Paper Award).

Md. Palash Uddin, Md. Al Mamun and Md. Ali Hossain, "Segmented FPCA for Hyperspectral Image Classification," 3rd IEEE International Conference on Electrical Information and Communication Technology (EICT), Bangladesh, 2017.

Md. Abu Marjan, Md. Palash Uddin, Masud Ibn Afjal and Md. Dulal Haque, "Developing an Efficient Algorithm for Representation and Compression of Large Bengali Text," 9th IEEE International Forum on Strategic Technology, Bangladesh, 2014.

S. M. Mahedy Hasan, Md Palash Uddin, Md Al Mamun, Muhammad Imran Sharif, Mohammed Rezwanul Islam, Sami Azam, and Asif Karim, “A Generative Predictive Model for Medical Data via PCA and Iterative K-means Fusion”, In:   Nag, A.,  Hassan, M. M.,  Karim, A., Reddy C, K. K. (eds)  Generative AI in Neurodegenerative Disorders Innovations, Views, and Obstacles,  River Publishers (Taylor & Francis ), 2025.  

Priyanka Roy, Amrita Das Tipu, Mahmudul Hasan and Md Palash Uddin, “An Evidence-based Explainable AI Approach for Analyzing the Influence of CO2 Emissions on Sustainable Economic Growth”, In:  Abedin, M.Z., Yong W. (eds) Machine Learning Technologies on Energy Economics and Finance – Energy and Sustainable Analytics, Volume I & II. Springer Press. (Accepted on 11 August 2024).  

Amrita Das Tipu, Priyanka Roy, Md Palash Uddin and Mahmudul Hasan, “An Analysis of CO2 Emission based on Development Indicators”, In:  Abedin, M.Z., Yong W. (eds) Machine Learning Technologies on Energy Economics and Finance – Energy and Sustainable Analytics, Volume I & II. Springer Press. (Accepted on 11 August 2024).  

Mahmudul Hasan, Md Iftekhar Hossain Tushar, Most Mozakkera Jahan, Touhida Sultana Ety and Md Palash Uddin, “An Extensive Statistical Analysis of Time Series Modelling and Forecasting of Crude Oil Prices”, In:  Abedin, M.Z., Yong W. (eds) Machine Learning Technologies on Energy Economics and Finance – Energy and Sustainable Analytics, Volume I & II. Springer Press. (Accepted on 07 August 2024).  

Readion Islam, Md Tanjim, Sayed Mahmudul Haque, Md Palash Uddin and Mahmudul Hasan, “A Comparative Evaluation of Deep Neural Networks for Electricity Price Forecasting”, In:  Abedin, M.Z., Yong W. (eds) Machine Learning Technologies on Energy Economics and Finance – Energy and Sustainable Analytics, Volume I & II. Springer Press. (Accepted on 07 August 2024).

D. Subitha, Rahul S.G., and Md Palash Uddin, “Artificial Intelligence in Biometric Systems”, In:  Balasubramaniam S, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj (eds) AI Based Advancements in Biometrics and its Applications. CRC Press (Accepted on 28 December 2023).

Md. Al Mamun, Abu Zahid Bin Aziz, Md Palash Uddin, and Md Rahat, “Prediction of the dengue incidence in Bangladesh using machine learning”, In:  Siddique, N., Arefin, M.S., Kaiser, M.S., Kayes, A.S.M. (eds)  Applied Intelligence for Industry 4.0.  BIM 2021.  Chapman and Hall/CRC Press, 2023.

Md. Moshiur Rahman, Shabbir Ahmed, Md. Shahriar Haque, Md. Abu Marjan, Masud Ibn Afjal, and Md Palash Uddin, “Segmented‑Truncated‑SVD for Effective Feature Extraction in Hyperspectral Image Classification”, In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer Press, Cham., 2023.

Md. Hasanul Bari, Tanver Ahmed, Masud Ibn Afjal, Adiba Mahjabin Nitu, Md Palash Uddin, and Md. Abu Marjan, “Effective Feature extraction via Folded‑Sparse‑PCA for Hyperspectral Image classification”,  In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer Press, Cham., 2023.

Shabbir Ahmed, Md. Moshiur Rahman, Md. Shahriar Haque, Md. Abu Marjan, Md Palash Uddin, Masud Ibn Afjal, “Segmented‑Incremental‑PCA for Hyperspectral Image Classification”, In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 491. Springer Press, Cham., 2023. 

Funded by: IEEE 5th Region 10 Humanitarian Technology Conference, Bangladesh

Funded by: IEEE International Conference on Advancement in Electrical and Electronic Engineering, Bangladesh

Funded by: 2020 Annual Conference of School of IT, Deakin University, Australia

Funded by: 2021 Annual Conference of School of IT, Deakin University, Australia

Funded by: School of IT, Deakin University, Australia

Funded by: Institution of Electronics and Telecommunication Engineers (IETE), India

Funded by: Deakin University, Melbourne, Australia (2019-2022)

Funded by: UGC, Bangladesh

Funded by: HSTU, Dinajpur, Bangladesh

Funded by: 2009 Ahsanullah University of Science and Technology IUPC, Bangladesh

Funded by: 2010 ACM ICPC, Asia Regional Dhaka Site hosted by North South University, Bangladesh

Funded by: 2010 HSTU IUPC, HSTU, Bangladesh

Funded by: 2011 ACM International Collegiate Programming Contest (ICPC), Asia Regional Dhaka Site, Bangladesh

Funded by: 2012 RUET Inter University Programming Contest (IUPC), RUET, Bangladesh

Funded by: Grameen Bank, Bangladesh

Funded by: The World Bank and UGC Bangladesh

Position: Member, Sub-Project Management Team (SPMT)

Description: Higher Education Quality Enhancement Project (HEQEP) No. CPSF-2254 (Window-3) was of 50 lac Bangladesh Taka (BDT) (USD 58,600) to enrich the capability of the existing wired and wireless network infrastructures at the HSTU campus, Dinajpur, Bangladesh.

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