Journals

2025 (2)
  1. Federated learning with adaptive regularization for efficient edge data corruption detection in edge intelligence. M. R. Islam, P. Uddin, Y. Xiang, K.-H. Yeh, L. Liu, J. Kua. IEEE Transactions on Cloud Computing, Oct. 2025. (Q1) 📄Read paper 🧾bibtex
  2. Multiple edge data integrity verification with multi-vendor and multi-server in mobile edge computing. M. R. Islam, Y. Xiang, P. Uddin, Y. Zhao, J. Kua, L. Gao. IEEE Transactions on Mobile Computing, June 2025. (Q1) 📄Read paper 🧾bibtex
2024 (5)
  1. Towards privacy-preserving Alzheimer’s disease classification: Federated learning on T1-weighted MRI data M. A. Sahid, M. P. Uddin, H. Saha, and M. R. Islam Digital Health, November, 2024. (Q2) 📄Read paper 🧾bibtex
  2. Improving hyperspectral image classification with compact multi-branch deep learning M. R. Islam, M. T. Islam, P. Uddin, and A. Ulhaq Remote Sensing, June, 2024. (Q1) 📄Read paper 🧾bibtex
  3. Advancing hyperspectral image classification with dual branch networks and informative feature extraction M. T. Islam, M. R. Islam, and M. A. Al Mamun Journal of Spatial Science, May, 2024. (Q2) 📄Read paper 🧾bibtex
  4. Spectrally segmented-enhanced neural network for precise land cover object classification in hyperspectral imagery M. T. Islam, M. R. Islam, P. Uddin, and A. Ulhaq Remote Sensing, February, 2024.(Q1) 📄Read paper 🧾bibtex
  5. Advanced masked face recognition using a robust and lightweight deep learning model M. O. Faruque, M. R. Islam, and M. T. Islam International Journal of Computer Applications, January, 2024. 📄Read paper 🧾bibtex
2023 (4)
  1. A deep learning-based hyperspectral object classification approach via imbalanced training samples handling M. T. Islam, M. R. Islam, M. P. Uddin, and A. Ulhaq Remote Sensing, Jul, 2023. (Q1) 📄Read paper 🧾bibtex
  2. Mutual information-driven feature reduction for hyperspectral image classification M. R. Islam, B. Ahmed, M. A. Hossain, and M. P. Uddin Sensors, 2023. (Q1) 📄Read paper 🧾bibtex
  3. Improving hyperspectral image classification through spectral–spatial feature reduction with a hybrid approach and deep learning M. R. Islam, M. T. Islam, and M. P. Uddin Journal of Spatial Science, 2023. (Q2) 📄Read paper 🧾bibtex
  4. Hyperspectral image classification via information theoretic dimension reduction M. R. Islam, A. Siddiqa, M. I. Afjal, M. P. Uddin, and A. Ulhaq Remote Sensing, 2023. (Q1) 📄Read paper 🧾bibtex
2022 (2)
  1. Spectral segmentation-based dimension reduction for hyperspectral image classification A. Siddiqa, M. R. Islam, and M. I. Afjal Journal of Spatial Science, 2022. (Q2) 📄Read paper 🧾bibtex
  2. Hybrid 3DNet: Hyperspectral image classification with spectral–spatial dimension reduction using 3D CNN Z. B. Zakaria and M. R. Islam International Journal of Computer Applications, 2022. 📄Read paper 🧾bibtex
2021 (1)
  1. An efficient dimensionality reduction method for the classification of satellite remote sensing hyperspectral images M. R. Islam, A. Siddiqa, and N. Tasnim International Journal of Computer Applications, 2021. 📄Read paper 🧾bibtex
2020 (2)
  1. Feature reduction of hyperspectral image for classification M. R. Islam, B. Ahmed, and A. Hossain Journal of Spatial Science, 2020. (Q2) 📄Read paper 🧾bibtex
  2. A modified LSB image steganography method using filtering algorithm and stream of password M. R. Islam, T. Tanni, S. Parvin, M. Sultana, and A. Siddiqa Information Security Journal: A Global Perspective, 2020. (Q2) 📄Read paper 🧾bibtex
2018 (2)
  1. A modified blind steganalysis method based on the moments of characteristic function P. Basak, L. Arjuman, A. M. Nitu, and M. R. Islam Advancement in Software Engineering and Testing, 2018. 📄Read paper 🧾bibtex
  2. A modified filtering approach of LSB image steganography using stream builder along with AES encryption S. Sultana, A. Khanam, M. R. Islam, et al. Recent Trends in Information Technology and its Applications, 2018. 📄Read paper 🧾bibtex
2017 (1)
  1. Bengali consonants voice-to-text conversion using machine learning tools S. K. Roy, A. K. Ghosh, A. S. Asa, M. P. Uddin, M. R. Islam, and M. I. Afjal International Journal of Research in Computer Engineering and Electronics, 2017. 📄Read paper 🧾bibtex
2015 (1)
  1. Android-based walking assistant for blind and low-vision people suggesting the shortest path using Floyd–Warshall algorithm M. Sohrawordi, M. Hossen, M. P. Uddin, A. M. Nitu, and M. R. Islam Journal of Innovation and Development Strategy, 2015. 📄Read paper 🧾bibtex
2014 (1)
  1. Cross-user source-based data deduplication in distributed systems without violating data privacy of individual users M. Nadim, S. M. Billah, M. S. Alam, A. K. Mandal, M. P. Uddin, and M. R. Islam International Journal of Research in Computer Engineering and Electronics, 2014. 📄Read paper 🧾bibtex

Conference Proceedings

2024 (2)
  1. Seeing the world in dots: A machine learning adventure in colour-blind perception S. R. Rahman, M. R. Islam, and A. Chakrabortty IEEE International Conference on Computing, Applications and Systems (COMPAS), 2024. 📄Read paper 🧾bibtex
  2. Enhancing parallelism in cross-silo federated learning for brain disease classification M. A. Sahid, H. Saha, M. R. Islam, and M. P. Uddin IEEE International Conference on Computing, Applications and Systems (COMPAS), 2024. 📄Read paper 🧾bibtex
2023 (6)
  1. An efficient feature optimisation approach with machine learning for detection of major depressive disorder using EEG signals A. Bhuyain, J. Ferdouse, M. Babar, M. Sohrawordi, M. R. Islam, and E. Ali 26th International Conference on Computer and Information Technology (ICCIT), 2023. 📄Read paper 🧾bibtex
  2. A machine learning algorithm to detect Alzheimer’s disease using MRI images A. Chakrabortty, S. R. Rahman, M. T. Islam, M. R. Islam, and M. A. Al Mamun 6th International Conference on Electrical Information and Communication Technology (EICT), 2023. 📄Read paper 🧾bibtex
  3. Segmentation-based dimensionality reduction for hyperspectral image classification T. Hasan, M. L. Ali Liton, M. H. Rahman, M. T. Islam, and M. R. Islam 6th International Conference on Electrical Information and Communication Technology (EICT), 2023. 📄Read paper 🧾bibtex
  4. Crossover dimensionality reduction and multi-branch deep learning for enhanced hyperspectral image classification M. T. Islam and M. R. Islam 6th International Conference on Electrical Information and Communication Technology (EICT), 2023. 📄Read paper 🧾bibtex
  5. Selective HybridNet: Spectral–spatial dimensionality reduction for HSI classification M. R. Islam, M. T. Islam, and M. Sohrawordi International Conference on Electrical, Computer and Communication Engineering (ECCE), 2023. 📄Read paper 🧾bibtex
  6. Enhanced brain tumour classification from MRI images using deep learning model A. B. Rahman, M. T. Islam, M. R. Islam, M. Sohrawordi, and M. N. Sultan 26th International Conference on Computer and Information Technology (ICCIT), 2023. 📄Read paper 🧾bibtex
2022 (4)
  1. MC-Net: Spectral–spatial feature reduction for hyperspectral image classification with optimised technique series M. T. Islam, M. Kumar, and M. R. Islam International Conference on Electrical, Computer and Telecommunication Engineering (ICECTE), 2022. 📄Read paper 🧾bibtex
  2. Spectral–spatial feature reduction for hyperspectral image classification with optimised technique series M. T. Islam, M. Kumar, M. R. Islam, and M. Sohrawordi International Conference on Electrical and Computer Engineering (ICECE), 2022. 📄Read paper 🧾bibtex
  3. Sub-grouping-based NMF with imbalanced class handling for hyperspectral image classification M. T. Islam, M. Kumar, M. R. Islam, and M. Sohrawordi International Conference on Computer and Information Technology (ICCIT), 2022. 📄Read paper 🧾bibtex
  4. Spectral–spatial dimensionality reduction for hyperspectral image classification M. R. Islam and B. Ahmed International Conference on Computer and Information Technology (ICCIT), 2022. 📄Read paper 🧾bibtex
2019 (3)
  1. Analysis of PCA-based feature extraction methods for classification of hyperspectral image U. A. M. E. Ali, M. A. Hossain, and M. R. Islam International Conference on Innovation in Engineering and Technology (ICIET), 2019. 📄Read paper 🧾bibtex
  2. Feature reduction based on segmented principal component analysis for hyperspectral image classification M. R. Islam, B. Ahmed, and M. A. Hossain International Conference on Electrical, Computer and Communication Engineering (ECCE), 2019. 📄Read paper 🧾bibtex
  3. Spectral subset detection for hyperspectral image classification A. Siddiqa, M. Ibn Afzal, M. R. Islam, and A. Mahjabin Nitu International Conference on Innovation in Engineering and Technology (ICIET), 2019. 📄Read paper 🧾bibtex
2014 (1)
  1. An efficient filtering-based approach improving LSB image steganography using status bit along with AES cryptography M. R. Islam, A. Siddiqa, M. P. Uddin, A. K. Mandal, and M. D. Hossain International Conference on Informatics, Electronics and Vision (ICIEV), 2014. 📄Read paper 🧾bibtex

Book Chapter

  1. Hybrid-2D NET: Spectral-Spatial Feature Reduction for Hyperspectral Image Classification.
    M. T. Islam, M. Kumar and M. R. Islam, in 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, Cham. https://doi.org/10.1007/978-3-031-34622-4_45
  2. Improved Subspace Detection Based on Minimum Noise Fraction and Mutual Information for Hyperspectral Image Classification.
    M. R. Islam, M. A. Hossain and B. Ahmed, in In: Uddin M., Bansal J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_53