Fernando Estévez Casado

Fernando received his BSc degree in Computer Science from the University of Santiago de Compostela (USC) in 2017, being awarded the prizes for the best academic record and thesis. In 2018, he studied for the MSc degree in Artificial Intelligence Research offered by Menéndez Pelayo International University (UIMP). In November 2022, he received his PhD at USC, obtaining the highest grade and the Cum Laude distinction. In his thesis, he developed new continual federated machine learning strategies, robust to scenarios where multiple devices or data owners collaborate over time to obtain a shared model. In particular, Fernando focused on situations involving heterogeneous and non-stationary data, as well as concept drift. The proposed algorithms were translated into different applications, including human activity recognition in smartphones and active assistance to robotic wheelchair users. 

After obtaining his PhD, Fernando worked as a substitute lecturer at USC, teaching subjects in the BSc degree in Robotics. Since March 2023, Fernando has worked as a Research Associate at the Personal Robotics Lab, Imperial College London (United Kingdom). His current research interests involve multi-robot and multi-user machine learning to model, adapt and personalise assistive robot behaviours for trustworthy human-robot interaction.