In my research, I explore how artificial intelligence can be used to improve cybersecurity and decentralize architectures. I am particularly interested in federated learning, a type of machine learning that allows multiple devices to train models on data while keeping that data private. I believe that this approach has great potential for improving both security and privacy in many applications.
In parallel, I study the application of Brain-Computer Interfaces (BCIs) to control remote devices. This work has the potential to provide people with disabilities greater independence and control over their environment.
Currently, I am part of the CyberDataLab (Cybersecurity and Data Science Lab) at the University of Murcia. This lab "encompasses a group of skilled and motivated scientists and researchers with a strong commitment for quality research and developments around the two main topics of the lab: cybersecurity and data science. It is worth mentioning the value created in the intersection of both fields, with a strong projection onto international R&D programs such as Horizon Europe, European Defence Agency R&T or National Science Foundation, amongst others".