Towards on Demand Road Condition Monitoring Using Mobile Phone Sensing as a Service. - Wael AlRahal AlOrabi; Sawsan Abdul Rahman; May El Barachi; Azzam Mourad (ANT/SEIT, 2016)

A novel on-demand vehicular sensing framework for traffic condition monitoring. - Sawsan Abdul Rahman; Azzam Mourad; May El Barachi; Wael Al Orabi (Veh. Commun., 2018)

An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation. - Sawsan Abdul Rahman; Azzam Mourad; May El Barachi (IEEE Access, 2019)

Internet of Things intrusion Detection: Centralized, On-Device, or Federated Learning? - Sawsan Abdul Rahman; Hanine Tout; Chamseddine Talhi; Azzam Mourad (IEEE Netw., 2020)

FedMCCS: Multicriteria Client Selection Model for Optimal IoT Federated Learning. - Sawsan Abdul Rahman; Hanine Tout; Azzam Mourad; Chamseddine Talhi (IEEE Internet Things J., 2021)

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond. - Sawsan Abdul Rahman; Hanine Tout; Hakima Ould-Slimane; Azzam Mourad; Chamseddine Talhi; Mohsen Guizani (IEEE Internet Things J., 2021)

Overcoming Resource Bottlenecks in Vehicular Federated Learning: A Cluster-Based and QoS-Aware Approach. - Sawsan AbdulRahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (GLOBECOM, 2023)

Towards Boosting Federated Learning Convergence: A Computation Offloading & Clustering Approach. - Sawsan Abdul Rahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (ICC, 2023)

Adaptive Upgrade of Client Resources for Improving the Quality of Federated Learning Model. - Sawsan Abdul Rahman; Hakima Ould-Slimane; Rasel Chowdhury; Azzam Mourad; Chamseddine Talhi; Mohsen Guizani (IEEE Internet Things J., 2023)

Management of Digital Twin-Driven IoT Using Federated Learning. - Sawsan AbdulRahman; Safa Otoum; Ouns Bouachir; Azzam Mourad (IEEE J. Sel. Areas Commun., 2023)

CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks. - Sawsan AbdulRahman; Ouns Bouachir; Safa Otoum; Azzam Mourad (Veh. Commun., 2024)

Federated learning on the go: Building stable clusters and optimizing resources on the road. - Sawsan Abdul Rahman; Safa Otoum; Ouns Bouachir (Veh. Commun., 2025)