 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2026). Designing Federated Learning Marketplaces: Incentives, Network Dynamics, and Decentralized Learning. IEEE Transactions on Network Science and Engineering, 18 pages. External link
Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2025). A Two-Level Dirichlet Framework for Heterogeneous Federated Network. IEEE Transactions on Network Science and Engineering. External link
Arisdakessian, S., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2022). A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions. IEEE Internet of Things Journal, 10(5), 4059-4092. External link
Filali, A., Abouaomar, A., Cherkaoui, S., Kobbane, A., & Guizani, M. (2020). Multi-Access Edge Computing: A Survey. IEEE Access, 8, 197017-197046. External link
Mao, T., Xu, L., Karabulut Kurt, G., Mourad, A., Xiao, Y., & Guizani, M. (2026). Emerging Technologies Regarding Spectrum Usage and System Design in a New Study Cycle—Part 2. IEEE Network, 40(1), 76-78. External link
Mao, T., Xu, L., Karabulut Kurt, G., Mourad, A., Xiao, Y., & Guizani, M. (2025). Emerging Technologies Regarding Spectrum Usage and System Design in a New Study Cycle. IEEE Network, 39(6), 109-111. External link
Mumtaz, S., Cherkaoui, S., Guizani, M., Rodrigues, J. J. P. C., El Saddik, A., Maharjan, S., Xiao, Y., & Ashraf, I. (2023). Guest Editorial Digital Twins for Mobile Networks-Part II. Ieee Journal on Selected Areas in Communications, 41(11), 3349-3354. External link
Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Wahab, O. A., Mizouni, R., Bentahar, J., Talhi, C., Dziong, Z., Damiani, E., & Guizani, M. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys and Tutorials, 3392642 (49 pages). External link
Salahuddin, M. A., Al-Fuqaha, A., Guizani, M., & Cherkaoui, S. (2014, December). RSU cloud and its resource management in support of enhanced vehicular applications [Paper]. Globecom Workshops 2014, Austin, TX, USA. External link
Wehbi, O., Arisdakessian, S., Guizani, M., Wahab, O. A., Mourad, A., Otrok, H., Khzaimi, H. A., & Ouni, B. (2024). Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. IEEE Internet of Things Journal, 1-1. External link
Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Otrok, H., Otoum, S., Mourad, A., & Guizani, M. (2023). FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. IEEE Internet of Things Journal, 15 pages. External link
Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., Alkhzaimi, H., & Guizani, M. (2023, June). Towards Mutual Trust-Based Matching For Federated Learning Client Selection [Paper]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. External link
