On The Use of Software Defined Wireless Network in Vehicular Fog Computing Environments. - Joseph Khoury; Hani Sami; Haïdar Safa; Wassim El-Hajj (IWCMC, 2019)

FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning. - Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar (IWCMC, 2020)

AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions. - Ahmad Hammoud; Hani Sami; Azzam Mourad; Hadi Otrok; Rabeb Mizouni; Jamal Bentahar (IEEE Internet Things Mag., 2020)

Reinforcement R-learning model for time scheduling of on-demand fog placement. - Peter Farhat; Hani Sami; Azzam Mourad (J. Supercomput., 2020)

Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment. - Hani Sami; Azzam Mourad (IEEE Trans. Netw. Serv. Manag., 2020)

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services. - Hani Sami; Azzam Mourad; Wassim El-Hajj (IEEE/ACM Trans. Netw., 2020)

AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach. - Hani Sami; Hadi Otrok; Jamal Bentahar; Azzam Mourad (IEEE Trans. Netw. Serv. Manag., 2021)

Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing. - Anahita Mazloomi; Hani Sami; Jamal Bentahar; Hadi Otrok; Azzam Mourad (CoRR, 2022)

ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (CoRR, 2022)

Graph convolutional recurrent networks for reward shaping in reinforcement learning. - Hani Sami; Jamal Bentahar; Azzam Mourad; Hadi Otrok; Ernesto Damiani (Inf. Sci., 2022)

Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement. - Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar (IEEE Trans. Serv. Comput., 2022)

Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning. - Mario Chahoud; Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IWCMC, 2023)

Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing. - Anahita Mazloomi; Hani Sami; Jamal Bentahar; Hadi Otrok; Azzam Mourad (IEEE Internet Things J., 2023)

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. - Mario Chahoud; Hani Sami; Azzam Mourad; Safa Otoum; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IEEE Internet Things J., 2023)

Opportunistic UAV Deployment for Intelligent On-Demand IoV Service Management. - Hani Sami; Reem Saado; Ahmad El Saoudi; Azzam Mourad; Hadi Otrok; Jamal Bentahar (IEEE Trans. Netw. Serv. Manag., 2023)

Reward shaping using convolutional neural network. - Hani Sami; Hadi Otrok; Jamal Bentahar; Azzam Mourad; Ernesto Damiani (Inf. Sci., 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)

A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions. - Gordon Owusu Boateng; Hani Sami; Ahmed Alagha; Hanae Elmekki; Ahmad Hammoud; Rabeb Mizouni; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Sami Muhaidat; Chamseddine Talhi; Zbigniew Dziong; et al. (CoRR, 2024)

CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication. - Mohamad Wazzeh; Mohamad Arafeh; Hani Sami; Hakima Ould-Slimane; Chamseddine Talhi; Azzam Mourad; Hadi Otrok (J. Netw. Comput. Appl., 2024)

LearnChain: Transparent and cooperative reinforcement learning on Blockchain. - Hani Sami; Rabeb Mizouni; Hadi Otrok; Shakti Singh; Jamal Bentahar; Azzam Mourad (Future Gener. Comput. Syst., 2024)

Privacy-Preserving Continuous User Authentication Using Federated Learning. - Oussama Bouldjedri; Mohamad Wazzeh; Hani Sami; Chamseddine Talhi; Hakima Ould-Slimane (IWCMC, 2025)

Multi-Agent Deep Reinforcement Learning for Resource Management in On-Demand Environments. - Mario Chahoud; Hani Sami; Rabeb Mizouni; Hadi Otrok; Jamal Bentahar; Azzam Mourad; Chamseddine Talhi (IWCMC, 2025)

CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning. - Hanae Elmekki; Ahmed Alagha; Hani Sami; Amanda Spilkin; Antonela Zanuttini; Ehsan Zakeri; Jamal Bentahar; Lyes Kadem; Wen-Fang Xie; Philippe Pibarot; Rabeb Mizouni; Hadi Otrok; et al. (Comput. Biol. Medicine, 2025)

Reward shaping in DRL: A novel framework for adaptive resource management in dynamic environments. - Mario Chahoud; Hani Sami; Rabeb Mizouni; Jamal Bentahar; Azzam Mourad; Hadi Otrok; Chamseddine Talhi (Inf. Sci., 2025)

Efficient privacy-preserving ML for IoT: Cluster-based split federated learning scheme for non-IID data. - Mohamad Arafeh; Mohamad Wazzeh; Hani Sami; Hakima Ould-Slimane; Chamseddine Talhi; Azzam Mourad; Hadi Otrok (J. Netw. Comput. Appl., 2025)

On-Demand Model and Client Deployment in Federated Learning With Deep Reinforcement Learning. - Mario Chahoud; Hani Sami; Azzam Mourad; Hadi Otrok; Jamal Bentahar; Mohsen Guizani (IEEE Internet Things J., 2025)

Comprehensive review of reinforcement learning for medical ultrasound imaging. - Hanae Elmekki; Saidul Islam; Ahmed Alagha; Hani Sami; Amanda Spilkin; Ehsan Zakeri; Antonela Mariel Zanuttini; Jamal Bentahar; Lyes Kadem; Wen-Fang Xie; Philippe Pibarot; Rabeb Mizouni; et al. (Artif. Intell. Rev., 2025)