AEON-CPS will focus on the monitoring and control operated by Network Intelligence (NI) on cyber-physical systems (CPSs) relying on 5G networks and their 6G evolutions. In AEON-CPS, we will study fundamental properties of automated machine learning (AutoML) and explainable artificial intelligence (XAI) to support the prompt and automatic identification of performance anomalies of CPSs and the associated corrective actions (intelligent troubleshooting). We will use specific CPS applications for NI in CPS environments, and in particular for what concerns future solutions for intelligent transportation, i.e., assisted and automatic driving applications. The work will result in the design of novel interpretable and explainable automatic ML/AI technologies and SW tools. The validation of methodologies and tools will be carried out in realistically emulated cellular environments. AEON-CPS will benefit the society by making CPSs more controllable and optimizable in an automatic way, while at the same time offering the opportunity to support quick, precise and human-understandable troubleshooting actions.

Funded by the Ministry of  Digital Transformation and Civil Service the European Union-NextGenerationEU through the UNICO-5G R&D Program of the Spanish Recovery, Transformation and Resilience Plan.