Fiche de Lydia DOUAIDI

Lydia DOUAIDI
Doctorante (Déc 2021 - Févr 2024)
Compétence SIC
Adresse : 49 rue Mademoiselle Bourgeois - 58000 Nevers
Tél. :
E-mail : Lydia.Douaidi@u-bourgogne.fr
Equipe : SIC
Fonction : Doctorant
  • Publications
Publications
Lydia Douaidi. Artificial intelligence-driven optimization of electric vehicle charging infrastructure and user-centric experience. Artificial Intelligence [cs.AI]. Université Bourgogne Europe, 2025. English. ⟨NNT : 2025UBEUK005⟩. ⟨tel-05262601⟩
Lydia Douaidi, Hamamache Kheddouci. A New Approach for Employee Attrition Prediction. 27th International Conference on Conceptual Structures (ICCS 2022), Sep 2022, Berlin, Germany. pp.115-128, ⟨10.1007/978-3-031-16663-1_9⟩. ⟨hal-05250630⟩
Lydia Douaidi, Sidi-Mohammed Senouci, Ines El Korbi, Fouzi Harrou, Ahmet Yazıcı. Federated deep learning for enhanced prediction of electric vehicle charging station availability. Cluster Computing, 2025, 28 (6), pp.364. ⟨10.1007/s10586-025-05152-z⟩. ⟨hal-05211076⟩
Lydia Douaidi. Artificial Intelligence-Driven Optimization of Electric Vehicle ChargingInfrastructure and User-Centric Experience. Artificial Intelligence [cs.AI]. Université Bourgogne Europe, 2025. English. ⟨NNT : ⟩. ⟨tel-05211075⟩
Mohamed Redha Mahamdi, Ahmed Ramzi Houalef, Lydia Douaidi, Florian Delavernhe, Sidi-Mohamed Senouci. MatchEstimate: A Robust Aggregation Method for Federated Learning, Electric Vehicles Case Study. 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), IEEE Vehicular Technology Society, Oct 2025, Chengdu, China. ⟨hal-05199232⟩
Lydia Douaidi, Sidi-Mohammed Senouci, Ines El Korbi, Fouzi Harrou. Optimizing EV Charging Recommendations Using Graph Neural Networks. VTC2024-Fall, IEEE Vehicular Technology Society, Oct 2024, Washignton DC, United States. ⟨10.1109/VTC2024-Fall63153.2024.10757447⟩. ⟨hal-04866034⟩
Lydia Douaidi, Sidi-Mohammed Senouci, Ines El Korbi, Fouzi Harrou. Predicting Electric Vehicle Charging Stations Occupancy: A Federated Deep Learning Framework. VTC2023-Spring, Jun 2023, Florence (IT), Italy. pp.1-5, ⟨10.1109/VTC2023-Spring57618.2023.10199832⟩. ⟨hal-04286114v2⟩
Lydia Douaidi, Hamamache Kheddouci. A New Approach for Employee Attrition Prediction. 28th International Conference on Conceptual Structures, Sep 2022, Berlin, France. pp.115-128, ⟨10.1007/978-3-031-16663-1_9⟩. ⟨hal-04107562⟩