Claudio is Research Assistant Professor and a Ramón y Cajal Fellow at IMDEA Networks Institute, Madrid, Spain. He currently leads the Resilient AI Networking lab. He obtained his Ph.D. degree at the University of Luxembourg in November 2016,  the Master Degree in Computer and Communication Networks Engineering in 2012, and the Bachelor Degree in Ingegneria Telematica in 2010 both from Politecnico di Torino. Claudio also holds the 2016 SmartICT Certificate on standardization for business innovation from the joint program of University of Luxembourg and ILNAS, the National Standardization Agency. Claudio was a Visiting Ph.D. Student at Clarkson University, Potsdam, NY, US in 2016 and a José Castillejo/Fulbright visiting researcher at Northeastern University, Boston, MA, US in 2022.
Claudio has been awarded with the Spanish Ramón y Cajal Fellowship (5 years of funding), Juan de la Cierva grants (Formación and Incorporación – for a total of 5 years of funding), the Best Paper Awards in IEEE Cloudnet 2016, in ACM WiNTECH 2018, IEEE GLOBECOM 2019, the Best Student Paper Award at IEEE NFV-SDN 2022, the Best Paper Runner-Up Award at ACM WiNTECH 2023, and the Best Paper Award at IEEE INFOCOM 2024. He is member of IEEE and ACM, regularly serves in the Technical Program Committee (TPC) of several international conferences and has held multiple roles in the organization of events since the early stage of its Ph.D. He was Publication and Web Chair at IEEE CloudNet 2014, Publicity Chair at ACM/IEEE ANCS 2018, leading Workshop Co-Chair at MoCS 2019, Registration Chair at IEEE ICNP 2020, TPC Co-Chair at IEEE CAMAD 2019, 2021, TPC Co-Chair at IEEE ICC 2023, and demo chair at ACM WiNTECH 2023. Claudio is member of the Editorial Board team of IEEE Networking Letters and has served as the Chair of the IEEE ComSoc EMEA Awards Committee for 2022 and 2023. His primary research interests include explainable and robust AI in 5G/6G networks, performance characterization of 5G networks with measurements in the wild, and of 5G core network functions, and mobile crowdsensing.