Books (6)
- 1. M. F. Ahamed et al.,; "Fake News Detection Using Deep Learning and Fuzzy Logic", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
- 2. M. F. Ahamed et al.,; "Fake News Detection Using Deep Learning and Fuzzy Logic", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
- 3. M. F. Ahamed et al.,; "Image-Based Deep Learning for Freshwater Fish Disease Classification", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
- 4. M. F. Ahamed et al.,; "Riemannian Graph Attention Networks for EEG-Based Motor Imagery Classification", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
- 5. M. F. Ahamed et al.,; "Secure Color Image Encryption Using Multi-Chaotic Maps and Dynamic S-Box Based Permutation-Diffusion.", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
- 6. M. F. Ahamed et al.,; "Improving Information Quality in 6G Networks Using Semantic Auto-Encoders", 3rd International Conference on Big Data, IoT and Machine Learning (BIM 2025), 2025
Book Chapters (3)
- 1. M. F. Ahamed, M. R. Islam, T. Hossain, K. Syfullah, and O. Sarkar; "Classification and segmentation on multi-regional brain tumors using volumetric images of MRI with customized 3D U-Net Framework", Proceedings of International Conference on Information and Communication Technology for Development (ICICTD), pp. 223–234., 2023
- 2. M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, and M. E. H. Chowdhury; "Interpretible Deep Learning Model for Tuberculosis detection technique using X-ray images", Proceedings of Surveillance, prevention, and control of infectious diseases: An AI perspective –Springer, 2023
- 3. P. Chowdhury, E. M. Eumi, O. Sarkar, M. F. Ahamed; "Bangla News Classification Using GloVe Vectorization, LSTM, and CNN", Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore, 2023, 2023
Journal Articles (26)
- 1. Md Faysal Ahamed, Fariya Bintay Shafi, Md Rabiul Islam, Md Fahmidun Nabi, Julfikar Haider; "Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation", Artificial Intelligence in Medicine, Elsevier, 2026
- 2. Amith Khandakar, David G Michelson, Fariya Bintay Shafi, Md Faysal Ahamed, Mohamed Arselene Ayari, Khaled Khan, Ponnuthurai Nagaratnam Suganthan; "An Explainable Attention-Augmented LSTM Model for Robust Real-Time Detection of Driving Behavior Patterns and Road Anomalies in Smart Transportation Networks", IEEE Transactions on Instrumentation and Measurement, 2026
- 3. Fariya Bintay Shafi, Md Faysal Ahamed, Amith Khandakar, Mohamed Arselene Ayari, Shahriar Islam Siyam; "Fusion-driven EEG reconstruction and cognitive workload recognition using conditional diffusion and graph-based learning", Advanced Engineering Informatics, Elsevier, 2026
- 4. M. H. Reza, M. N. B. Sibly, S. G. Rabbani, S. H. Sadi, M. F. Ahamed, F. B. Shafi, R. Sarmun, M. E. H. Chowdhury; "Explainable Deep Learning for Rainfall Prediction: A CNN-XGBoost Hybrid Approach in the Northern Region of Bangladesh", Neural Computing and Application, Springer, 2025
- 5. Syeda Munjiba Islam, Md Shariar Hossain Sazzad, Md Faysal Ahamed, Maaz Ahmed, Sadikul Islam Nayon, Toufiq Islam, Sabrina Saniat Ayon, Julfikar Haider, M Abdullah-Al-Wadud, SM Islam; "Microscopic image dataset of fungal spores for computer vision applications in Tectona grandis and other taxa", Scientific Data, Nature, 2025
- 6. Fariya Bintay Shafi, Md. Faysal Ahamed, Md. Fahmidun Nabi b , Amith Khandakar a , Wesam Rohouma c , Mohamed Arselene Ayari d , Kevin Thomas a , Ahasanur Rahman, Mamun Bin Ibne Reaz, Fida Haq , Shady S. Refaat; "Review of sensor technologies, DC-DC converters, and power electronics for sustainable monitoring in precision livestock farming", Results in Engineering, Elsevier, 2025
- 7. W. AHMAD , M. F. AHAMED , A. Khandakar , S. A. U. ZAMAN , M. A. Ayari; "UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data", IEEE ACCESS, 2025
- 8. M. Naznine, M. Nahiduzzaman, M. J. Karim, M. F. Ahamed, M. A. Ayari, A. Khandakar, M. Ahsan, and J. Haider; "PLDs-CNN-Ridge-ELM: A parallel lightweight two stage waste classification model guided by SHAP", Engineering Application in Artificial Intelligence, Elsevier, 2025
- 9. M. H. Reza, M. N. B. Sibly, S. G. Rabbani, S. H. Sadi, M. F. Ahamed, F. B. Shafi, R. Sarmun, M. E. H. Chowdhury; "A Comprehensive Review of Convolutional Neural Networks: Foundations, Enhancements and Applications", Neural Computing and Application, Springer, 2025
- 10. F. B. Shafi, M. F. Ahamed et al.,; "Resource-Constrained Hybrid Attention-Driven Approach for Enhanced Interpretability and Scalability in Multi-Event Livestock Condition Classification and Monitoring", Results in Engineering, Elsevier, 2025
- 11. O. Jyoti, H. B. Kibria, Z. T. Pear, M. Nahiduzzaman, M. F. Ahamed, K. R. Islam, Jayakumar, M. E. H. Chowdhury; "A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning with Explainable AI", IEEE ACCESS, 2025
- 12. M. R. Islam, M. F. Ahamed, M. R. Islam , M. Nahiduzzaman, M. Ahsan; "Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review", Biomedical Signal Processing and Control, Elsevier, 2025
- 13. M. F. Ahamed et al.,; "Improving Malaria Diagnosis through Interpretable Customized CNNs Architectures", Scientific Report, Nature, 2025
- 14. M. Nahiduzzaman; L. F. Abdulrazak; H. B. Kibria; A. Khandakar; M. A. Ayari; M. F. Ahamed; M. Ahsan; M. A. Moni; "A Hybrid Explainable Model Based on Advanced Machine Learning and Deep Learning Models for Classifying Brain Tumors Using MRI Images", Scientific Report, Nature, 2025
- 15. M. Nahiduzzaman; M. F. Ahamed et al.; "An Automated Waste Classification System Using Deep Learning Techniques: Toward Efficient Waste Recycling and Environmental Sustainability", Knowledge-Based Systems, Elsevier, 2025
- 16. Md. Faysal Ahamed et al.; "Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI", Computers in Biology and Medicine, Elsevier, 2024
- 17. K. Thomas , M.A. Rahman ,W. Rohouma ,M.F. Ahamed ,F. Shafi ,M. Nahiduzzaman; "Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection", Scientific Data, Nature, 2024
- 18. N. Aman, M.R. Islam, M.F. Ahamed, and M. Ahsan; "Performance evaluation of various deep learning models in gait recognition using the CASIA-B dataset", Technologies, MDPI, 2024
- 19. M. F. Munwar, M. A. Ahamed et al.,; "A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications", Technologies, MDPI, 2024
- 20. M. F. Ahamed et al.,; "Detection of various Gastrointestinal Tract Diseases through Deep Learning method with Ensemble ELM and Explainable AI", Expert Systems with Applications, Elsevier, 2024
- 21. M. F. Ahamed, M. R. Islam et al.,; "Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods with Explainable AI", IEEE ACCESS, 2024
- 22. M. F. Ahamed et al.; "Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation", Human-Centric Intelligent Systems (HCIN), Springer, 2024
- 23. M. F. Ahamed, A. Salam, M. Nahiduzzaman, M. A. Al-Wadud, S. M. R Islam; "Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices", Neural Computing & Application, Springer, 2024
- 24. M. F. Ahamed et al.,; "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques", Sensors, MDPI, 2023
- 25. O. Sarkar, M. R. Islam, M. K. Syfullah, M. T. Islam, M. F. Ahamed, M. Ahsan, and J. Haider; "An Empirical Multi-Classification Approach of Classifying Lung Affected Diseases Utilizing Multi-Scale CNN Model", Technologies, MDPI, 2023
- 26. M. F. Ahamed et al.,; "A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques", Computerized Medical Imaging and Graphics, Elsevier, 2023
Conference Papers (13)
- 1. Maaz, M. F. Ahamed et al.,; "Deep Learning Based Smart Bin for Efficient Sorting of Recyclable, Non-Recyclable, and Compostable Materials", International Conference on Computer and Information Technology (25th ICCIT), 2025
- 2. Md. Momenul Islam, Md. Rabiul Islam, Md. Faysal Ahamed et al.,; "D3Net: An Adam-Based Ensemble Voting Method for Bangla Handwritten Digit Recognition Using Multi-CNN Architectures", International Conference on Electrical, Computer and Communication Engineering (ECCE), 2025, 2025
- 3. Momenul, Md. Faysal Ahamed et al.,; "SondhiNet: A CNN-Classifiers Framework for Enhanced Bangla Handwritten Character Recognition with Ensemble Integration", 2nd INTERNATIONAL CONFERENCE ON NEXT-GENERATION COMPUTING, IoT AND MACHINE LEARNING (NCIM 2025), 2025
- 4. Sumaiya, M. F. Ahamed; "CBAM integrated attention driven model for betel leaf diseases classification with Explainable AI", 2nd IEEE Conference on Computing Applications and Systems (COMPAS 2025), 2025
- 5. M. F. Ahamed et al.; "Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation", 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), Dhaka, Bangladesh, 2024
- 6. Z. A. K. Zihad, M. R. Islam, and M.F. Ahamed; "Denoising autoencoder-based soft K-medoid clustering for single-cell RNA sequence data", International Conference on Computing Advancements (ICCA 2024), 2024
- 7. D. Zafrin, M.F. Ahamed, and M. R. Islam; "Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans", International Conference on Computing Advancements (ICCA 2024), 2024
- 8. P. Talukder, M. R. Islam, M.F. Ahamed, and S. Ghosh; "Bangla Speech Emotion Recognition Based on Audio Features Using CNN and LSTM", International Conference on Computing Advancements (ICCA 2024), 2024
- 9. M.F. Islam, M.R. Islam, and M.F. Ahamed; "Efficient Self-Attention and Co-Attention within the Modified Graph Matching Attention Network for Visual Question Answering", International Conference on Computing Advancements (ICCA 2024), 2024
- 10. T. T. Khan, A. Hassan, M. F. Ahamed, and S. Islam; "Multi-label Bengali Abusive Comments Classification using Problem Transformation Method", 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Mexico City, Mexico., 2023
- 11. O. Sarkar, M. F. Ahamed, T. T. Khan, M. K. Ghosh, and M. R. Islam; "An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM", 2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-6, 2021
- 12. O. Sarkar, M. F. Ahamed, and P. Chowdhury; "Forecasting & Severity Analysis of COVID-19 Using Machine Learning Approach with Advanced Data Visualization", 2020 23rd International Conference on Computer and Information Technology (ICCIT)), Dhaka, Bangladesh, 2020, pp. 1-6, 2020
- 13. M. F. Ahamed, O. Sarkar, and A. Matin; "Instance Segmentation of Visible Cloud Images Based on Mask R-CNN Applying Transfer Learning Approach", 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 257-262, 2020