Mohamed Elmahallawy

According to our database, Mohamed Elmahallawy authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM.

Mohamed Elmahallawy, Tie Luo, Khaled Ramadan

IEEE J. Sel. Areas Commun., May, 2024

LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training.

Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy

CoRR, 2024

DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines.

Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong

CoRR, 2024

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations.

Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo

CoRR, 2024

FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information.

Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy

CoRR, 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

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning.

Mohamed Elmahallawy, Tie Luo

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2024

2023

A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition.

Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes.

Mohamed Elmahallawy, Tie Luo

Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling.

Mohamed Elmahallawy, Tie Luo

Proceedings of the IEEE International Conference on Communications, 2023

Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation.

Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem

Proceedings of the IEEE Global Communications Conference, 2023

2022

Federated learning for LEO constellations via inter-HAP links.

Mohamed Elmahallawy, Tony T. Luo

CoRR, 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

FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs.

Mohamed Elmahallawy, Tie Luo

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms.

Mohamed Elmahallawy, Tie Luo

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Performance Enhancement of Underwater Acoustic OFDM Communication Systems.

Mohamed El-Mahallawy, Adly S. Tag Eldien, Salah S. Elagooz

Wirel. Pers. Commun., 2019

Performance enhancement of UWA-OFDM communication systems based on FWHT.

Mohamed El-Mahallawy, Adly S. Tag Eldien

Int. J. Commun. Syst., 2019