Dr Fernando E. Casado works as a Research Associate at the Personal Robotics Lab (PRL) since March 2023. He 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.
Fernando's current research interests involve multi-robot and multi-user machine learning to model, adapt and personalise robotic behaviours for trustworthy human-robot interaction. More information about Fernando can be found on his personal web page.
Publications
Journal Papers
- Quesada, R. C., Casado, F. E., & Demiris, Y. An Integrated 3D Eye-Gaze Tracking Framework for Assessing Trust in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction. Just Accepted.
- Casado, F. E., Lema, D., Iglesias, R., Regueiro, C. V., & Barro, S. (2023). Ensemble and continual federated learning for classification tasks. Machine Learning, 1-41.
- Criado, M. F., Casado, F. E., Iglesias, R., Regueiro, C. V., & Barro, S. (2022). Non-IID data and Continual Learning processes in Federated Learning: A long road ahead. Information Fusion, 88, 263-280.
- Casado, F. E., Lema, D., Criado, M. F., Iglesias, R., Regueiro, C. V., & Barro, S. (2022). Concept drift detection and adaptation for federated and continual learning. Multimedia Tools and Applications, 1-23.
- Casado, F. E., Rodríguez, G., Iglesias, R., Regueiro, C. V., Barro, S., & Canedo-Rodríguez, A. (2020). Walking recognition in mobile devices. Sensors, 20(4), 1189.
Conference Papers
- Gandhi, R., Casado, F. E., & Demiris, Y. (2025, August). Toward Shared Control for Mobile Bimanual Manipulation on a Robotic Wheelchair. In 2025 34th IEEE International Conference on Robot and Human Interactive Communication (ROMAN) . IEEE.
- Luo, H., Quesada, R. C., Casado, F. E., Lingg, N., & Demiris, Y. (2025, May). Interface Matters: Comparing First and Third-Person Perspective Interfaces for Bi-Manual Robot Behavioural Cloning. In 2025 IEEE International Conference on Robotics and Automation (ICRA) (pp. 7385-7391). IEEE.
- Quesada, R. C., Casado, F. E., & Demiris, Y. (2024, August). On the Effect of Augmented-Reality Multi-User Interfaces and Shared Mental Models on Human-Robot Trust. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) (pp. 1316-1322). IEEE.
- Casado, F. E., & Demiris, Y. (2022, October). Federated Learning from Demonstration for Active Assistance to Smart Wheelchair Users. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 9326-9331). IEEE.
