Resume
Academic Achievements
- 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