Bruno Chatras (Orange) 
Nicolas Pioch (Cloudmark/Cnam) 
Safia Kedad (Cnam) 
Françoise Sailhan (Cnam) 
Tristan Crolard (Cnam) 
Stefano Secci (Cnam) 
Pierre Paradinas (Orange) 
Dominique Verchere (Nokia) 
Stéphane Rovedakis (Cnam) 
Samia Bouzefrane (Cnam) 
Pierre Courtieu (Cnam) 
Matthias Puech (Cnam) 
Sami Taktak (Cnam) 
William Diego Maza (Orange) 
Selma Boumerdassi (Cnam) 
Stéphane Bortzmeyer (AFNIC) 
Pierre Sweid (Cnam/Bouygtelecom) 
Aymeric Weinbach (ZeCloud) 
Eric Gressier-Soudan (Cnam) 
Cédric Bentz (Cnam) 
Kamel Barkaoui (Cnam) 
Jean-Michel Douin (Cnam)
Publications récentes
- Scalable Load Balancing scheme for wireless distributed controllers in SDDC
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Comment se rassembler (avec certitude) quand on est confus et désorienté
- Deterministic Color-optimal Self-stabilizing Semi-synchronous Gathering: a Certified Algorithm
- 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
- E2E demonstrator definition describing all network elements and modules
- DREAM: Dual foREcAsting Model for Network Anomaly Detection
- GNN graph structures in network anomaly detection
- Pactole
- On flexible association and placement in disaggregated RAN designs
- Line-rate Botnet Detection with SmartNIC-Embedded Feature Extraction
- PSBA-XG: A Publish/subscribe Service-Based Architecture for Beyond 5G Systems
- FLADxG: Federated Learning Based Anomaly Detection Framework for xG Systems
- Analyzing encrypted traffic using AI models
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
