Mohamed Elmahallawy

42 papers A* 1A 1B 11Misc 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning What Can Be Picked: Active Reachability Estimation for Efficient Robotic Fruit Harvesting. CoRR Nur Afsa Syeda, Mohamed Elmahallawy, Luis Fernando de la Torre, John Miller
2026	J	`jnl`	Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection. CoRR Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy, Sanjay Madria
2026	J	`jnl`	SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs. CoRR Mohamed Shaaban, Mohamed Elmahallawy
2025	B	`conf`	Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks. IEEE Big Data Mohamed Elmahallawy, Asma Jodeiri Akbarfam
2025	J	`jnl`	Decentralized Trust for Space AI: Blockchain-Based Federated Learning Across Multi-Vendor LEO Satellite Networks. CoRR Mohamed Elmahallawy, Asma Jodeiri Akbarfam
2025	B	`conf`	Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations. MASS Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	J	`jnl`	Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations. CoRR Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	J	`jnl`	Explaining the Unseen: Multimodal Vision-Language Reasoning for Situational Awareness in Underground Mining Disasters. CoRR Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	Misc	`conf`	Predicting Battery Levels of Sensor Nodes Using Reinforcement Learning in Harsh Underground Mining Environments. SAC Manish Yadav, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	B	`conf`	Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety. IEEE Big Data Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	J	`jnl`	Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety. CoRR Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2025	—	`conf`	Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. PAKDD (Workshops) Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
2025	J	`jnl`	Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. CoRR Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
2025	A	`conf`	When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks. ECAI Mohamed Elmahallawy, Tie Luo
2025	J	`jnl`	When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks. CoRR Mohamed Elmahallawy, Tie Luo
2024	J	`jnl`	CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks. CoRR Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024	J	`jnl`	Communication-Efficient Federated Learning for LEO Constellations Integrated With HAPs Using Hybrid NOMA-OFDM. IEEE J. Sel. Areas Commun. Mohamed Elmahallawy, Tie Luo, Khaled Ramadan
2024	J	`jnl`	Communication-Efficient Federated Learning for LEO Constellations Integrated with HAPs Using Hybrid NOMA-OFDM. CoRR Mohamed Elmahallawy, Tie Luo, Khaled Ramadan
2024	B	`conf`	DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines. IEEE Big Data Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024	B	`conf`	DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines. IEEE Big Data Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024	J	`jnl`	DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines. CoRR Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria, Samuel Frimpong
2024	B	`conf`	Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations. IEEE Big Data Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
2024	J	`jnl`	Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations. CoRR Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo
2024	B	`conf`	FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information. IEEE Big Data Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024	J	`jnl`	FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information. CoRR Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024	B	`conf`	LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training. IEEE Big Data Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024	J	`jnl`	LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training. CoRR Shreen Gul, Mohamed Elmahallawy, Sanjay Madria, Ardhendu Tripathy
2024	A*	`conf`	Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. PerCom Mohamed Elmahallawy, Tie Luo
2024	J	`jnl`	Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning. CoRR Mohamed Elmahallawy, Tie Luo
2023	—	`conf`	A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. MetroXRAINE Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly
2023	J	`jnl`	A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition. CoRR Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo, Seif Eldawlatly
2023	B	`conf`	One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. MDM Mohamed Elmahallawy, Tie Luo
2023	J	`jnl`	One-Shot Federated Learning for LEO Constellations that Reduces Convergence Time from Days to 90 Minutes. CoRR Mohamed Elmahallawy, Tie Luo
2023	—	`conf`	Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. ICC Mohamed Elmahallawy, Tie Luo
2023	J	`jnl`	Optimizing Federated Learning in LEO Satellite Constellations via Intra-Plane Model Propagation and Sink Satellite Scheduling. CoRR Mohamed Elmahallawy, Tie Luo
2023	B	`conf`	Secure and Efficient Federated Learning in LEO Constellations Using Decentralized Key Generation and On-Orbit Model Aggregation. GLOBECOM Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem
2023	J	`jnl`	Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation. CoRR Mohamed Elmahallawy, Tie Luo, Mohamed I. Ibrahem
2022	J	`jnl`	A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction. IEEE Access Mohamed Elmahallawy, Tarek Elfouly, Ali Alouani, Ahmed M. Massoud
2022	B	`conf`	AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. IEEE Big Data Mohamed Elmahallawy, Tie Luo
2022	J	`jnl`	AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude Platforms. CoRR Mohamed Elmahallawy, Tie Luo
2022	—	`conf`	FedHAP: Fast Federated Learning for LEO Constellations using Collaborative HAPs. WCSP Mohamed Elmahallawy, Tie Luo
2022	J	`jnl`	Federated learning for LEO constellations via inter-HAP links. CoRR Mohamed Elmahallawy, Tony T. Luo