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ORCIDHani Sami
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2020 – today
- 2024
[j14]Hani Sami
, Ahmad Hammoud, Mohamad Arafeh, Mohamad Wazzeh, Sarhad Arisdakessian, Mario Chahoud, Osama Wehbi, Mohamad Ajaj, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Commun. Surv. Tutorials 26(4): 2914-2960 (2024)- [j13]Hani Sami, Rabeb Mizouni, Hadi Otrok, Shakti Singh, Jamal Bentahar, Azzam Mourad:
LearnChain: Transparent and cooperative reinforcement learning on Blockchain. Future Gener. Comput. Syst. 150: 255-271 (2024) - [j12]Mohamad Wazzeh, Mohamad Arafeh, Hani Sami, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Hadi Otrok:
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication. J. Netw. Comput. Appl. 231: 103987 (2024) - [i6]Mohamad Wazzeh, Mohamad Arafeh, Hani Sami, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Hadi Otrok:
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication. CoRR abs/2405.07174 (2024) - [i5]Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning. CoRR abs/2405.07175 (2024) - 2023
- [j11]Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multiaccess Edge Computing. IEEE Internet Things J. 10(2): 1376-1390 (2023) - [j10]Mario Chahoud, Hani Sami, Azzam Mourad, Safa Otoum, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme. IEEE Internet Things J. 10(18): 15822-15834 (2023) - [j9]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad, Ernesto Damiani:
Reward shaping using convolutional neural network. Inf. Sci. 648: 119481 (2023) - [j8]Hani Sami, Reem Saado, Ahmad El Saoudi, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
Opportunistic UAV Deployment for Intelligent On-Demand IoV Service Management. IEEE Trans. Netw. Serv. Manag. 20(3): 3428-3442 (2023) - [c3]Mario Chahoud, Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
Towards On-Demand Deployment of Multiple Clients and Heterogeneous Models in Federated Learning. IWCMC 2023: 1556-1561 - [i4]Hani Sami, Ahmad Hammoud, Mohamad Arafeh, Mohamad Wazzeh, Sarhad Arisdakessian, Mario Chahoud, Osama Wehbi, Mohamad Ajaj, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. CoRR abs/2304.09240 (2023) - 2022
- [j7]Hani Sami, Jamal Bentahar, Azzam Mourad, Hadi Otrok, Ernesto Damiani:
Graph convolutional recurrent networks for reward shaping in reinforcement learning. Inf. Sci. 608: 63-80 (2022) - [j6]Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
Demand-Driven Deep Reinforcement Learning for Scalable Fog and Service Placement. IEEE Trans. Serv. Comput. 15(5): 2671-2684 (2022) - [i3]Anahita Mazloomi, Hani Sami, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Reinforcement Learning Framework for Server Placement and Workload Allocation in Multi-Access Edge Computing. CoRR abs/2203.07998 (2022) - [i2]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad, Ernesto Damiani:
Reward Shaping Using Convolutional Neural Network. CoRR abs/2210.16956 (2022) - [i1]Mario Chahoud, Hani Sami, Azzam Mourad, Safa Otoum, Hadi Otrok, Jamal Bentahar, Mohsen Guizani:
ON-DEMAND-FL: A Dynamic and Efficient Multi-Criteria Federated Learning Client Deployment Scheme. CoRR abs/2211.02906 (2022) - 2021
- [j5]Hani Sami, Hadi Otrok, Jamal Bentahar, Azzam Mourad:
AI-Based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach. IEEE Trans. Netw. Serv. Manag. 18(3): 3527-3540 (2021) - 2020
- [j4]Ahmad Hammoud, Hani Sami, Azzam Mourad, Hadi Otrok, Rabeb Mizouni, Jamal Bentahar:
AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions. IEEE Internet Things Mag. 3(2): 68-73 (2020) - [j3]Peter Farhat, Hani Sami, Azzam Mourad:
Reinforcement R-learning model for time scheduling of on-demand fog placement. J. Supercomput. 76(1): 388-410 (2020) - [j2]Hani Sami, Azzam Mourad:
Dynamic On-Demand Fog Formation Offering On-the-Fly IoT Service Deployment. IEEE Trans. Netw. Serv. Manag. 17(2): 1026-1039 (2020) - [j1]Hani Sami, Azzam Mourad, Wassim El-Hajj:
Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Aware Deployment of Containerized Micro-Services. IEEE/ACM Trans. Netw. 28(2): 778-790 (2020) - [c2]Hani Sami, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
FScaler: Automatic Resource Scaling of Containers in Fog Clusters Using Reinforcement Learning. IWCMC 2020: 1824-1829
2010 – 2019
- 2019
- [c1]Joseph Khoury, Hani Sami, Haïdar Safa, Wassim El-Hajj:
On The Use of Software Defined Wireless Network in Vehicular Fog Computing Environments. IWCMC 2019: 1198-1203
Coauthor Index
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