The CNAM-CEDRIC Networks and IoT Systems research group hires between 3 and 4 Ph.D. candidates and/or postdoc in the following topics. Master thesis/internship on these topics can also start with the possibility to continue in a PhD. Topics Low-Earth Orbit
Recent publications
- Intent-Based Qualification of Industry 4.0 Components
- Function Placement for In-network Federated Learning
- Data Pipeline System Designs for In-network Learning
- The complexity of the perfect matching‐cut problem
- Experiences with disaggregated RAN integrations
- Comprehensive Survey on Vehicular Communication Security
- A Fuzzy-Based Greedy Behaviour Attack Detection Approach in VANETs
- Towards the Intent-based Configuration of I4.0 Components
- Reinforcement Learning to Personalize User eXperience within Digital Business Ecosystems
- Vers l’automatisation de la détection d’anomalies réseaux
- Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN
- DiNATrAX : a Network Anomalies Detection Framework
- Ecosystème d'Affaires Numériques : Modele organisationnel, roles et gouvernance pour la flexibilité
- Grubbs Test Based Algorithms to Improve the Efficiency of Blockchain Oracles
