| 2026 | ACL | SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs. | Mohamed Shaaban, Mohamed Elmahallawy |
| 2026 | MDM | RL-MINDS: Reinforcement Learning for Mobility-Induced Duty-Cycles in WSN for Underground Mines. | Manish Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong |
| 2026 | PAKDD | Region-Level Black-Box Defense Against Stealthy Embedding-Space Backdoors in CLIP. | Ahmed Abdel-Naby, Mohamed Elmahallawy |
| 2026 | PAKDD | Prototype Fusion: A Training-Free Multi-layer Approach to OOD Detection. | Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy, Sanjay Madria |
| 2026 | PAKDD | Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting. | Nur Afsa Syeda, Mohamed Elmahallawy, John Miller, Luis Fernando de la Torre |
| 2026 | WACV | Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters. | Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong |
| 2025 | ECAI | When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks. | Mohamed Elmahallawy, Tie Luo |
| 2025 | MASS | Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations. | Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong |
| 2025 | PAKDD | Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. | Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo |
| 2025 | SAC | Predicting Battery Levels of Sensor Nodes Using Reinforcement Learning in Harsh Underground Mining Environments. | Manish Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong |
| 2024 | PERCOM | Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. | Mohamed Elmahallawy, Tie Luo |
| 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 | MDM | One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. | Mohamed Elmahallawy, Tie Luo |