PhD Students
Current and former doctoral students supervised or co-supervised by Roberto Santana.
Current PhD Students
Current
Imanol Echeverria
Deep learning for real-time scheduling
π Tecnalia
π₯ Co-supervised with Maialen Murua
Current
Alexander Olza
Machine learning methods for brain decoding
π₯ Co-supervised with David Soto
Current
IΓ±igo Diez
Machine learning methods for analyzing the Language Connectome
π BioGuipuzkoa Center
π₯ Co-supervised with Ileana Quinones and Usue Mori
Current
Josu Iturralde
Bayesian Physics Informed Neural Networks
π₯ Co-supervised with Joxe Aizpurua
Current
Seyma Takir
Manifold-learning methods in brain fMRI data analysis
π₯ Co-supervised with David Soto
Current
Machine learning methods for computational modeling of fluid dynamic problems
π₯ Co-supervised with Marco Ellero
Former PhD Students
Former
Adversarial examples in the audio domain; adversarial attacks in explainable ML
π₯ Co-supervised with Jose Antonio Lozano
Former
Multi-label hierarchical classification methods for NLP
π₯ Co-supervised with Jose Antonio Lozano
Former
Investigation of the properties of unconscious visual information processing in the human brain
π₯ Co-supervised with David Soto
Former
Artificial intelligence methods for smart electricity grids and energy distribution
Former
Thesis: Neural architecture search of generative and multitask models
π₯ Co-supervised with Alexander Mendiburu
Former
Thesis: Mathematical programming and machine learning techniques for problems defined on graphs
π Tecnalia
π₯ Co-supervised with Diego Galar
Former
π₯ Co-supervised with A. Mendiburu and J. A. Lozano
Former
π₯ Co-supervised with A. Mendiburu and J. A. Lozano
Interested in PhD supervision? If you are interested in pursuing a PhD in machine learning, evolutionary computation, or related areas, please contact me with a description of your research interests and a CV.