Performance enhancement of UWA-OFDM communication systems based on FWHT. - Mohamed El-Mahallawy; Adly S. Tag Eldien (Int. J. Commun. Syst., 2019)

Performance Enhancement of Underwater Acoustic OFDM Communication Systems. - Mohamed El-Mahallawy; Adly S. Tag Eldien; Salah S. Elagooz (Wirel. Pers. Commun., 2019)

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. - Mohamed Elmahallawy; Tie Luo 001 (IEEE Big Data, 2022)

FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs. - Mohamed Elmahallawy; Tie Luo 001 (WCSP, 2022)

A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction. - Mohamed Elmahallawy; Tarek Elfouly; Ali Alouani; Ahmed M. Massoud (IEEE Access, 2022)

Federated learning for LEO constellations via inter-HAP links. - Mohamed Elmahallawy; Tony T. Luo (CoRR, 2022)

Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. - Mohamed Elmahallawy; Tie Luo 001; Mohamed I. Ibrahem (GLOBECOM, 2023)

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. - Mohamed Elmahallawy; Tie Luo 001 (ICC, 2023)

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. - Mohamed Elmahallawy; Tie Luo 001 (MDM, 2023)

A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001; Seif Eldawlatly (MetroXRAINE, 2023)

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training. - Shreen Gul; Mohamed Elmahallawy; Sanjay Madria; Ardhendu Tripathy (IEEE Big Data, 2024)

FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information. - Shreen Gul; Mohamed Elmahallawy; Sanjay Madria; Ardhendu Tripathy (IEEE Big Data, 2024)

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines. - Mizanur Rahman Jewel; Mohamed Elmahallawy; Sanjay Madria; Samuel Frimpong (IEEE Big Data, 2024)

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001 (IEEE Big Data, 2024)

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. - Mohamed Elmahallawy; Tie Luo 001 (PerCom, 2024)

CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks. - Md Sazedur Rahman; Mohamed Elmahallawy; Sanjay Madria; Samuel Frimpong (CoRR, 2024)

Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM. - Mohamed Elmahallawy; Tie Luo 001; Khaled Ramadan (IEEE J. Sel. Areas Commun., 2024)

Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. - Yasmine Mustafa; Mohamed Elmahallawy; Tie Luo 001 (PAKDD (Workshops), 2025)

Predicting Battery Levels of Sensor Nodes Using Reinforcement Learning in Harsh Underground Mining Environments. - Manish Yadav; Mohamed Elmahallawy; Sanjay Madria; Samuel Frimpong (SAC, 2025)