| 2026 | WCNC | PR-EML: Physics-Respecting and Explainable Machine Learning for Proactive Multi-Band Adaptation in UAV-V2X Networks. | Omair Ahmad, Mostafa M. Fouda, Mohamed I. Ibrahem, Zubair Md Fadlullah |
| 2025 | GLOBECOM | Self-Evolving Health Monitoring with Decentralized and Privacy-Enhancing Drift-Responsive Learning. | Hussien AbdelRaouf, Mahmoud Abouyoussef, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem |
| 2025 | GLOBECOM | A Novel Secure and Efficient Approach for Heart Attack Detection with Unlinkability and Anonymity. | Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem |
| 2025 | ICPP | ZTP: A Scalable and Lightweight Privacy-Preserving Blockchain via Scale-Free Quorums and Geometric Fragmentation. | Abdullah Al-Mamun, Dongfang Zhao, Gagan Agrawal, Ahmed Aleroud, Mohamed I. Ibrahem |
| 2025 | IWCMC | Adversary-Resilient Clustered Federated Learning for Secure AI-Driven Healthcare Data Analytics. | Abdullah Melhem, Ahmed Aleroud, Abdullah Al-Mamun, George Karabatis, Mohamed I. Ibrahem |
| 2025 | VTC | Adaptive Resource Allocation for 6G Network Slicing via Hybrid CNN-LSTM Architecture. | Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah |
| 2025 | WINCOM | Combating Neural Network Adversaries in Autonomous Vehicles: A 6G-Ready Defense Framework. | Mohammad J. Akhtar, Rishabh Jain, Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Sherief Hashima, Zubair Md Fadlullah |
| 2025 | WINCOM | PFANS: An Intelligent 6G Framework for Dynamic Autonomous Vehicle Learning. | Iqra Batool, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Sherief Hashima, Zubair Md Fadlullah |
| 2024 | ICMLA | An Innovative Approach for Human Activity Recognition Based on a Multi-Head Attention Mechanism. | Hussien AbdelRaouf, Mahmoud Abouyoussef, Mohamed I. Ibrahem |
| 2023 | GLOBECOM | Moreau Envelopes-Based Personalized Asynchronous Federated Learning: Improving Practicality in Network Edge Intelligence. | Anwar Asad, Mostafa M. Fouda, Zubair Md Fadlullah, Mohamed I. Ibrahem, Nidal Nasser |
| 2023 | GLOBECOM | Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. | Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem |
| 2023 | GLOBECOM | Joint Knowledge Distillation and Local Differential Privacy for Communication-Efficient Federated Learning in Heterogeneous Systems. | Gad Gad, Zubair Md Fadlullah, Mostafa M. Fouda, Mohamed I. Ibrahem, Nidal Nasser |
| 2022 | GLOBECOM | Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector. | Mohamed I. Ibrahem, Mohamed Mahmoud, Mostafa M. Fouda, Basem M. ElHalawany, Waleed Alasmary |
| 2021 | ISNCC | Detecting Electricity Fraud in the Net-Metering System Using Deep Learning. | Mahmoud M. Badr, Mohamed I. Ibrahem, Mohamed Baza, Mohamed Mahmoud, Waleed Alasmary |
| 2021 | ISNCC | Detecting Electricity Theft Cyber-attacks in CAT AMI System Using Machine Learning. | Mohamed I. Ibrahem, Sherif Abdelfattah, Mohamed Mahmoud, Waleed Alasmary |
| 2021 | ISNCC | Countering Presence Privacy Attack in Efficient AMI Networks Using Interactive Deep-Learning. | Mohamed I. Ibrahem, Mahmoud M. Badr, Mohamed Mahmoud, Mostafa M. Fouda, Waleed Alasmary |
| 2020 | ISNCC | PMBFE: Efficient and Privacy-Preserving Monitoring and Billing Using Functional Encryption for AMI Networks. | Mohamed I. Ibrahem, Mahmoud M. Badr, Mostafa M. Fouda, Mohamed Mahmoud, Waleed Alasmary, Zubair Md Fadlullah |