The course was held in Valdevimbre (León) from 25 to 27 June 2025 and examined core and advanced topics in Artificial Intelligence, Machine Learning, and Manifold Learning, with a particular focus on applications in cybersecurity and healthcare. Across three days, participants engaged with both conceptual foundations and applied case studies, combining lectures with practical laboratory sessions based on real data.
The opening session included institutional representatives from INCIBE and the Valdevimbre City Council, followed by an introductory lecture on the evolution and current impact of AI delivered by Manel Martínez Ramón (University of New Mexico). A theoretical and practical overview of manifold learning and dimensionality reduction techniques was presented by José Luis Rojo Álvarez (Universidad Rey Juan Carlos), addressing their relevance in modern data-driven applications.
Cybersecurity challenges in IoT and Industrial IoT environments were discussed by Francisco Manuel Melgarejo Meseguer (Universidad Rey Juan Carlos) and Juan R. Feijoo (Red Eléctrica Española), focusing on intrusion detection and system protection. The programme also included hands-on laboratory sessions led by researchers from Universidad Rey Juan Carlos, centred on preprocessing and analysing IoT and IIoT data.
The second day expanded towards biomedical and legal perspectives. Luis Bote (Universidad Rey Juan Carlos) presented case studies on machine learning in genomics, while Tamara Álvarez (Universidad de León) addressed current national and European regulatory challenges in cybersecurity. Miguel Cabañas Monseco (Persei Vivarium) discussed cloud security in healthcare environments, and Víctor González Castro (Universidad de León) introduced advanced techniques in natural language processing. A second laboratory session focused on practical ML and manifold learning applications for anomaly detection and critical system improvement in health and cybersecurity contexts.
On the final day, Juan Ignacio Godino (Universidad Politécnica de Madrid) analysed structural biases in biomedical engineering applications, including speech analysis for Parkinson’s disease and radiological image screening for pneumonia. Applications of generative AI in healthcare and cybersecurity were presented by Javier García (Google Cloud), highlighting current deployments and future developments. The course concluded with a closing lecture by Manel Martínez Ramón reflecting on present challenges and emerging directions in AI and Machine Learning.
The course was organised by José Luis Rojo Álvarez and Francisco Manuel Melgarejo Meseguer, both from Universidad Rey Juan Carlos. Their research backgrounds in statistical learning theory, digital signal processing, and biomedical data analysis shaped the scientific focus of the programme.
Thanks to the sponsorship of the CyberFold project and the support of the Valdevimbre City Council (León) and the start-up DilemmaLab SL (URJC), the costs of tuition, accommodation, and meals were largely covered..
Further information about the programme is available at the following link.