Omar Abdel Wahab

Polytechnique Montréal — Canada

Computer Science · Physical Sciences

31h-index3.4kcitations77works4.52yr avg
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Research Topics

Privacy-Preserving Technologies in Data(25), Blockchain Technology Applications and Security(16), Network Security and Intrusion Detection(13), Cloud Computing and Resource Management(12), Cryptography and Data Security(8)

Publications77 total

A Two-Level Dirichlet Framework for Heterogeneous Federated Network
IEEE Transactions on Network Science and Engineering·2025
Improving Class-Level Fairness Under Non-IID Data Distributions in Federated Learning
2025
An End-to-End Framework for Multi-Agent Motion Planning with Deep Reinforcement Learning and Transformers
SSRN Electronic Journal·2025Open Access
Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework
IEEE Transactions on Artificial Intelligence·2025· 1 cited
Dynamic Threat Intelligence Coalitions for Improved Cyber Defense Capabilities
2024
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
IEEE Internet of Things Journal·2024· 7 cited
Detecting Free-Riders in Federated Learning Using an Ensemble of Similarity Distance Metrics
2024
Trustworthy Hierarchical Federated Learning for Digital Healthcare
2024
Offline and Real-Time Policy-based Management for Virtualized Services: Conflict and Redundancy Detection, and Automated Resolution
Journal of Network and Systems Management·2024· 1 cited
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities
arXiv (Cornell University)·2024Open Access
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
IEEE Communications Surveys & Tutorials·2024· 40 cited
A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning
2023
Axiomatization multisets: a comparative analysis
Dutse Journal of Pure and Applied Sciences·2023Open Access
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning
2023· 10 cited
Towards Mutual Trust-Based Matching For Federated Learning Client Selection
2023· 3 cited
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices
IEEE Internet of Things Journal·2023· 28 cited
A Survey on Explainable Artificial Intelligence for Cybersecurity
IEEE Transactions on Network and Service Management·2023· 79 cited
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
arXiv (Cornell University)·2023· 4 citedOpen Access
A Survey on Explainable Artificial Intelligence for Cybersecurity
arXiv (Cornell University)·2023· 7 citedOpen Access
Coalitional Federated Learning: Improving Communication and Training on Non-IID Data With Selfish Clients
IEEE Transactions on Services Computing·2023· 25 cited
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Frequent Co-authors

Azzam Mourad(26), Hadi Otrok(26), Jamal Bentahar(25), Gaith Rjoub(13), Sarhad Arisdakessian(7), Ahmed Saleh Bataineh(7), Adel Abusitta(5), Talal Halabi(4), Robin Cohen(4), Mohsen Guizani(3), Benjamin C. M. Fung(3), Nadjia Kara(3), Rabeb Mizouni(3), Ahmad Hammoud(3), Osama Wehbi(3), Saja Al Mamoori(2), Claes Edstrom(2), Yves Lemieux(2), Mohammad Zulkernine(2), Safa Otoum(2)