Real-Time Mastitis Detection in Livestock using Deep Learning and Machine Learning Leveraging Edge Devices. - Kawshik Kumar Ghosh; Md. Fahim Ul Islam; Abrar Ahsan Efaz; Amitabha Chakrabarty; Shahriar Hossain (ISMICT, 2023)

Enhancing Intrusion Detection: A Robust Ensemble Learning Approach with Explainable AI and Strategic Fused Voting-Stacking Mechanism. - Nafiz Imtiaz Rafin; Swattic Ghose; Ahsanul Islam; Md. Fahim Ul Islam; Md. Golam Rabiul Alam; Amitabha Chakrabarty (ICCA, 2024)

A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning. - Md. Fahim Ul Islam; Amitabha Chakrabarty; Sarder Tanvir Ahmed; Rafeed Rahman; Hyun-Han Kwon; Md. Jalil Piran (IEEE Access, 2024)

Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis. - Tasnim Sakib Apon; Md. Fahim Ul Islam; Nafiz Imtiaz Rafin; Joya Akter; Md. Golam Rabiul Alam (CoRR, 2024)

An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification. - Amitabha Chakrabarty; Sarder Tanvir Ahmed; Md. Fahim Ul Islam; Syed Mahfuzul Aziz; Siti Sarah Maidin (Ecol. Informatics, 2024)

Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique. - Md. Fahim Ul Islam; Noshin Tabassum; Amitabha Chakrabarty; Syed Mahfuzul Aziz; Mahdieh Shirmohammadi; Nasim Khonsari; Hyun-Han Kwon; Md. Jalil Piran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Resource-Efficient Federated Learning Framework for Intrusion Detection in IoMT Networks. - Md. Fahim Ul Islam; Amitabha Chakrabarty; Md. Golam Rabiul Alam; Siti Sarah Maidin (IEEE Trans. Consumer Electron., 2025)