Publications

Mohamad Haj Fares, Ahmed Mohamed Saad Emam Saad (2024). Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture. NeurIPS 2024 - MusIML Workshop.

Ahmed Mohamed Saad Emam Saad (2024). Leveraging Graph Neural Networks for Botnet Detection. Springer Nature CCIS series.

Ahmed Mohamed Saad Emam Saad, Beytullah Yildiz (2023). Reinforcement Learning for Intrusion Detection. Springer Nature LNNS series.

Hisham Khalil, Ahmed Mohamed Saad Emam Saad, Uswah Khairuddin (2022). Diagnosis of Cerebellar Ataxia Based on Gait Analysis Using Human Pose Estimation: A Deep Learning Approach. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Ahmed Mohamed Saad Emam Saad (2019). A Systematical Review Study to Investigate the Use of Biometric Security Techniques in Automatic Teller Machines: Insight from the Past 15 Years. 2019 1st International Informatics and Software Engineering Conference (UBMYK).