Md. Faysal Ahamed

According to our database, Md. Faysal Ahamed authored at least 28 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A comprehensive review of convolutional neural networks: foundations, enhancements and applications.

Md. Himel Reza, Md. Noman Biswas Sibly, Shaikh Golam Rabbani, Shafayetul Huda Sadi, Md. Faysal Ahamed, Fariya Bintay Shafi, Rusab Sarmun, Muhammad E. H. Chowdhury

Neural Comput. Appl., February, 2026

ED-Net: A hybrid deep learning framework for precise polyp segmentation integrating EfficientNetB0 with Double U-Net architecture and Atrous Spatial Pyramid Pooling with test-time augmentation.

Rahul Kumar Kundu, Hafsa Binte Kibria, Md. Faysal Ahamed, Muhammad E. H. Chowdhury

Biomed. Signal Process. Control., 2026

Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation.

Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Rabiul Islam, Md. Fahmidun Nabi, Julfikar Haider

Artif. Intell. Medicine, 2026

Fusion-driven EEG reconstruction and cognitive workload recognition using conditional diffusion and graph-based learning.

Fariya Bintay Shafi, Md. Faysal Ahamed, Amith Khandakar, Mohamed Arselene Ayari, Shahriar Islam Siyam

Adv. Eng. Informatics, 2026

PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO₂-Injected Porous Media.

Nafisa Binte Ghulam Kibria, Amith Khandakar, Md. Faysal Ahamed, Hafsa Binte Kibria, Mohammad Azizur Rahman, Mohamed Arselene Ayari

IEEE Access, 2026

2025

Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh.

Md Safayet Islam, Md Shafiuzzaman, Golam Mahmud, Nabila Nowshin, Parisa Reza, Jahid Hasan, Md. Faysal Ahamed, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar

Neural Comput. Appl., November, 2025

RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis.

Amith Khandakar, David G. Michelson, Shaikh Golam Rabbani, Fariya Bintay Shafi, Md. Faysal Ahamed, Khondokar Radwanur Rahman, Md. Abidur Rahman, Md. Fahmidun Nabi, Mohamed Arselene Ayari, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan

CoRR, October, 2025

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images.

Ovi Sarkar, Md Shafiuzzaman, Md. Faysal Ahamed, Golam Mahmud, Muhammad E. H. Chowdhury

CoRR, October, 2025

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization.

Sumaiya Tabassum, Md. Faysal Ahamed, Hafsa Binte Kibria, Md. Nahiduzzaman, Julfikar Haider, Muhammad E. H. Chowdhury, Mohammad Tariqul Islam

CoRR, September, 2025

CBAM Integrated Attention Driven Model For Betel Leaf Diseases Classification With Explainable AI.

Sumaiya Tabassum, Md. Faysal Ahamed

CoRR, September, 2025

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability.

Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider

Knowl. Based Syst., 2025

PLDs-CNN-ridge-ELM: Interpretable lightweight waste classification framework.

Mansura Naznine, Md. Nahiduzzaman, Md. Jawadul Karim, Md. Faysal Ahamed, Abdus Salam, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider

Eng. Appl. Artif. Intell., 2025

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI.

Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar

Comput. Biol. Medicine, 2025

Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review.

Md. Rakibul Islam, Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Mominul Ahsan

Biomed. Signal Process. Control., 2025

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI.

Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md. Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

IEEE Access, 2025

UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data.

Wasi Ahmad, Md. Faysal Ahamed, Amith Khandakar, SM Ashfaq Uz Zaman, Mohamed Arselene Ayari

IEEE Access, 2025

2024

Streamlining plant disease diagnosis with convolutional neural networks and edge devices.

Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, Mohammad Abdullah-Al-Wadud, S. M. Riazul Islam

Neural Comput. Appl., October, 2024

Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation.

Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan

Hum. Centric Intell. Syst., June, 2024

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.

Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider

Expert Syst. Appl., 2024

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI.

Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar

IEEE Access, 2024

Denoising autoencoder-based soft K-medoid clustering for single-cell RNA sequence data.

Zobaer Al Khalil Zihad, Md. Faysal Ahamed, Rabiul Islam

Proceedings of the 3rd International Conference on Computing Advancements, 2024

Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans.

Dia Zafrin, Md. Faysal Ahamed, Md. Rabiul Islam

Proceedings of the 3rd International Conference on Computing Advancements, 2024

Bangla Speech Emotion Recognition Based on Audio Features Using CNN and LSTM.

Plabon Talukder, Md. Faysal Ahamed, Md. Rabiul Islam

Proceedings of the 3rd International Conference on Computing Advancements, 2024

Efficient Self-Attention and Co-Attention within the Modified Graph Matching Attention Network for Visual Question Answering.

Md. Fakhrul Islam, Md. Faysal Ahamed, Md. Rabiul Islam

Proceedings of the 3rd International Conference on Computing Advancements, 2024

2023

A review on brain tumor segmentation based on deep learning methods with federated learning techniques.

Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider

Comput. Medical Imaging Graph., December, 2023

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

Sensors, September, 2023

Multi-label Bengali Abusive Comments Classification using Problem Transformation Method.

Tahsin Tasnia Khan, Abid Hassan, Md. Faysal Ahamed, Samiul Islam

Proceedings of the 20th International Conference on Electrical Engineering, 2023

2021

Low Cost Remotely Operated Underwater Vehicle.

Md. Faysal Ahamed, Syed Mahdi Mahi, Joyanta Mondal, Shovasis Kumar Biswas

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021