Assistant Professor
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
Electrical & Computer Engineering
Rajshahi University of Engineering & Technology
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 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 | Journal |
| 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 | Journal |
| 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 | Journal |
| 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 | Journal |
| 5 | 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 | Conference |
| 6 | M. F. Ahamed et al., | Improving Malaria Diagnosis through Interpretable Customized CNNs Architectures | Scientific Report, Nature | 2025 | Journal |
| 7 | 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 | Conference |
| 8 | 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 | Journal |
| 9 | 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 | Journal |
| 10 | 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 | Book |
| 11 | 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 | Conference |
| 12 | 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 | Book |
| 13 | 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 | Journal |
| 14 | 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 | Book |
| 15 | 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 | Book |
| 16 | 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 | Journal |
| 17 | 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 | Book |
| 18 | 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 |
| 19 | 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 | Journal |
| 20 | 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 | Journal |
| 21 | 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 | Conference |
| 22 | 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 | Journal |
| 23 | 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 | Journal |
| 24 | 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 | Journal |
| 25 | 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 | Journal |
| 26 | 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 | Journal |
| 27 | 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 | Journal |
| 28 | 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 | Conference |
| 29 | 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 | Conference |
| 30 | 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 | Conference |
| 31 | 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 | Conference |
| 32 | M. F. Munwar, M. A. Ahamed et al., | A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications | Technologies, MDPI | 2024 | Journal |
| 33 | 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 | Journal |
| 34 | M. F. Ahamed, M. R. Islam et al., | Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods with Explainable AI | IEEE ACCESS | 2024 | Journal |
| 35 | 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 | Conference |
| 36 | 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 | Journal |
| 37 | 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 | Journal |
| 38 | 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 | Journal |
| 39 | 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 | Conference |
| 40 | 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 | Journal |
| 41 | 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 | Journal |
| 42 | 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 | Book Chapter |
| 43 | 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 | Book Chapter |
| 44 | 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 | Book Chapter |
| 45 | 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 | Journal |
| 46 | 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 | Conference |
| 47 | 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 | Conference |
| 48 | 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 | Conference |
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