Co-Principal Investigator of the IGNNITION project (H2020 NGI POINTER); main organizer of the GNNet challenge 2020-2022, co-organized with ITU-T (United Nations).
Research Experience
Currently an Applied AI Research Scientist at Telefónica Innovación Digital since 2022. Former postdoctoral researcher at Barcelona Neural Networking center (BNN-UPC) between 2020 and 2022. Actively collaborates with researchers from academic institutions and research centers, and participates in several EU-funded projects aimed at developing AI-driven technologies for future networks.
Education
Ph.D. in Computer Architecture from Universitat Politècnica de Catalunya (UPC), 2020; B.Sc and M.Sc. degrees in Telecommunication Engineering from Universidad de Granada (UGR).
Background
Applied AI Research Scientist focusing on the application of Artificial Intelligence (AI) to communication networks and digital services. This includes research and innovation efforts in AI-based network optimization, privacy-preserving AI algorithms, anomaly detection, and network data science.
Miscellany
Research interests: AI/ML applied to Communication Networks, Multivariate Time Series Analysis & Anomaly Detection, Time Series Foundation Models for Networks, Geospatial Data Analysis & Modeling, GenAI for Privacy-Preserving Mobility Data Generation, Graph-based Deep Learning / Geometric Deep Learning, Deep Reinforcement Learning