Towards Optimized IoT-based Context-aware Video Content Analysis Framework. - Gad Gad; Eyad Gad; Bassem Mokhtar (WF-IoT, 2021)

A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features. - Eyad Gad; Aya Gamal; Mustafa A. Elattar; Sahar Selim (MEDI, 2022)

Liver Disease Diagnosis using Tree-Based Machine Learning Algorithms. - Eyad Gad; Mustafa Abou Khatwa; Seif Soliman; M. Saeed Darweesh (NILES, 2022)

Advancing Brain Tumor Segmentation via Attention-Based 3D U-Net Architecture and Digital Image Processing. - Eyad Gad; Seif Soliman; M. Saeed Darweesh (MEDI, 2023)

A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx. - Eyad Gad; Mustafa Abou Khatwa; Mustafa A. Elattar; Sahar Selim (MIUA, 2023)

A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under Non-IID Challenges. - Eyad Gad; Zubair Md Fadlullah; Mostafa M. Fouda (SmartNets, 2024)

Communication-Efficient and Privacy-Preserving Federated Learning via Joint Knowledge Distillation and Differential Privacy in Bandwidth-Constrained Networks. - Gad Gad; Eyad Gad; Zubair Md Fadlullah; Mostafa M. Fouda; Nei Kato (IEEE Trans. Veh. Technol., 2024)

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks. - Eyad Gad; Gad Gad; Mostafa M. Fouda; Mohamed I. Ibrahem; Muhammad Ismail 001; Zubair Md Fadlullah (CoRR, 2025)