I am currently an industrial PhD student in collaboration with Ericsson France and Cnam, Paris, France, under the supervision of Prof. Stefano Secci, Prof. Stéphane Rovedakis, and Dr. Hicham Khalifé. My research focuses on developing a data-driven methodology for sustainable
Teachers' publications
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Les étoiles montantes de l'apprentissage distribué
- Comment se rassembler (avec certitude) quand on est confus et désorienté
- Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
- Des noeuds anonymes hissés au rang de stars
- Rendez-vous au Point-Dont-On-Ne-Doit-Pas-Calculer-Les-Coordonnées
- Energy Optimization for Multi-Band Cellular Networks: A Traffic Prediction-Based Strategy
- Comparative E2E Performance Analysis of O-RAN Designs in a 5G Standalone Testbed
- Data-driven Energy Optimization in Mobile Networks with User Experience Guarantees
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Timing of inversion of the Weald–Boulonnais basin inferred from calcite U–Pb geochronology of brittle structures along the Opal Coast, northern France
- Molecular diagnosis of kidney allograft rejection based on the Banff Human Organ Transplant gene panel: a multicenter international study
- HEAL: Resilient and Self-* Hub-Based Learning
- Timing of Contractional Stress Propagation, From the Pyrenean Orogen to the Intraplate Domain, Evidenced by U‐Pb Dating of Syn‐Kinematic Calcite
- Pactole
- On flexible association and placement in disaggregated RAN designs
- The PLATO Mission
- HEAL: Resilient and Self-* Hub-based Learning
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- HEAL: Resilient and Self-* Hub-based Learning
- Les vivants et les morts dans la Vallée de la Cèze (Gard) : Projet Collectif de Recherche sur les dynamiques d’occupation humaine à la fin du Néolithique et au début de l’âge du Bronze
- PSBA-XG: A Publish/subscribe Service-Based Architecture for Beyond 5G Systems
- FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
- Energy Savings on the Uplink thanks to OFDM Cyclic Prefix Suppression
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- Brief Announcement: A Self-* and Persistent Hub Sampling Service
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols
- Towards an Efficient Navigation Solution for Visually Impaired Individuals: Concepts and Constraints
- Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data
- Comprehensive Survey on Vehicular Communication Security
- Supervised Machine Learning for Matchmaking in Digital Business Ecosystems and Platforms
- ABD-HFL: Byzantine-resistant Decentralized Hierarchical Federated Learning
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- DiNATrAX : a Network Anomalies Detection Framework
- Challenger: Blockchain-based Massively Multiplayer Online Game Architecture
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
- Routing Edge-Cloud Requests via Multi-Objective Reinforcement Learning
