FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Nadjia Kara (IEEE/ACM Trans. Netw., 2020)

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad (GLOBECOM, 2022)

Machine Learning Based Container Placement in On-Demand Clustered Fogs. - Peter Farhat; Sarhad Arisdakessian; Omar Abdul Wahab; Azzam Mourad; Hakima Ould-Slimane (IWCMC, 2022)

Towards Instant Clustering Approach for Federated Learning Client Selection. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok (ICNC, 2023)

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad; Mohsen Guizani (IEEE Internet Things J., 2023)

Coalitional Federated Learning: Improving Communication and Training on Non-IID Data With Selfish Clients. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok (IEEE Trans. Serv. Comput., 2023)

A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Mohsen Guizani (IEEE Internet Things J., 2023)

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. - Hani Sami; Ahmad Hammoud; Mohamad Arafeh; Mohamad Wazzeh; Sarhad Arisdakessian; Mario Chahoud; Osama Wehbi; Mohamad Ajaj; Azzam Mourad; Hadi Otrok; Omar Abdel Wahab 001; Rabeb Mizouni; et al. (IEEE Commun. Surv. Tutorials, 2024)

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. - Osama Wehbi; Sarhad Arisdakessian; Mohsen Guizani; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Bassem Ouni (IEEE Internet Things J., 2025)