Research in Machine Learning, Evolutionary Computation & AI

I am a tenured researcher and lecturer at the University of the Basque Country (UPV/EHU), working on machine learning, probabilistic graphical models, evolutionary algorithms, and their applications to optimization and neuroscience.

Research Areas

🧠
Machine Learning
Probabilistic graphical models, neural networks, NLP, classification, adversarial ML, and data augmentation.
🧬
Evolutionary Computation
Estimation of distribution algorithms, genetic programming, neuroevolution, and evolutionary multi-objective optimization.
📐
Optimization
Fitness landscapes, multi-objective optimization, combinatorial problems, and reinforcement learning for scheduling.
🔬
Neuroscience
Brain-computer interfaces, unconscious visual processing, decoded neurofeedback, and computational neuroscience.

Recent Publications (2025)

Echeverria, I., Murua, M., & Santana, R.
Leveraging constraint programming in a deep learning approach for dynamically solving the flexible job-shop scheduling problem
Expert Systems with Applications, 265, 125895 (2025)  Journal
DOI
Vadillo, J., Santana, R., & Lozano, J. A.
Adversarial attacks in explainable machine learning: A survey of threats against models and humans
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 15(1), e1567 (2025)  Journal
DOI
Olza, A., Soto, D., & Santana, R.
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery
Brain Informatics, 12(1), 1–17 (2025)  Journal
DOI
Garcia, I., Santana, R., & Gonzalez, J.
DNkS: A distance-based neighborhood k-search algorithm for determining meter–transformer connectivity in low-voltage grids
Sustainable Energy, Grids and Networks, 42, 101707 (2025)  Journal
DOI

→ View all publications (1996–2025)

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