Low Cost Remotely Operated Underwater Vehicle. - Md. Faysal Ahamed; Syed Mahdi Mahi; Joyanta Mondal; Shovasis Kumar Biswas (ICCCNT, 2021)

Multi-label Bengali Abusive Comments Classification using Problem Transformation Method. - Tahsin Tasnia Khan; Abid Hassan; Md. Faysal Ahamed; Samiul Islam (CCE, 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 001; Amith Khandakar; Mohamed Arselene Ayari; Muhammad E. H. Chowdhury (Sensors, 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 001; Md. Robiul Islam 002; Mominul Ahsan; Julfikar Haider (Comput. Medical Imaging Graph., 2023)

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 001 (ICCA, 2024)

Bangla Speech Emotion Recognition Based on Audio Features Using CNN and LSTM. - Plabon Talukder; Md. Faysal Ahamed; Md. Rabiul Islam 001 (ICCA, 2024)

Lightweight CNN Approach for Multiclass Alzheimer Stage Classification from MRI Scans. - Dia Zafrin; Md. Faysal Ahamed; Md. Rabiul Islam 001 (ICCA, 2024)

Denoising autoencoder-based soft K-medoid clustering for single-cell RNA sequence data. - Zobaer Al Khalil Zihad; Md. Faysal Ahamed; Rabiul Islam (ICCA, 2024)

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. - Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Md. Jawadul Karim; Mohamed Arselene Ayari; Amith Khandakar (IEEE Access, 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 001; Mansura Naznine; Mohamed Arselene Ayari; Amith Khandakar; Julfikar Haider (Expert Syst. Appl., 2024)

Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation. - Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Muhammad E. H. Chowdhury; Abdulrahman Alqahtani; M. Murugappan (Hum. Centric Intell. Syst., 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., 2024)

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)

Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review. - Md. Rakibul Islam; Md. Faysal Ahamed; Md. Rabiul Islam 001; Md. Nahiduzzaman; Mominul Ahsan (Biomed. Signal Process. Control., 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)

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)