Full professors


Concha Bielza

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Research interests: probabilistic graphical models (Bayesian networks and influence diagrams), decision analysis, data mining, classification models, regression via regularization, metaheuristics for optimization, and real applications, like biomedicine, bioinformatics and neuroscience.

Pedro Larrañaga

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Research interests: Bayesian networks, estimation of distribution algorithms, multi-label classification, regularization, data streams, bioinformatics, biomedicine, neuroscience, bibliometry.

Associate professors

Juan A. Fernández del Pozo

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Research interests: Decision analysis and intelligent decision support systems based on influence diagrams and bayesian networks that perform knowledge acquisition in huge decision tables, knowledge discovery and data mining on models output for explanation synthesis and sensitivity analysis.

PhD students


David Atienza

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Research interests: Machine learning, Anomaly Detection, Probabilistic graphical models, Bayesian networks and its applications to Industrie4.0.


Marco Benjumeda

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Research interests: Probabilistic graphical models, Bayesian networks, thin models, multidimensional Bayesian classifiers, deep models.

Irene Córdoba-Sánchez

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Research interests: Probabilistic graphical models learning, Gaussian Bayesian networks, concentration and covariance graphs, with applications to Big Data.


Javier Díaz

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Research interests: Machine learning algorithms related with novelty detection and spatio-temporal feature subset selection, with application to machine tool industry within the Industrie 4.0 paradigm.

Pablo Fernandez

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Research interests: Mathematics, neuroscience, data mining, probabilistic graphical models, machine learning, supervised learning.

Santiago Gil-Begué

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Research interests: Machine learning, Multi-label classification, Probabilistic graphical models, Bayesian networks, and its applications to Industry 4.0.

Sergio Luengo-Sanchez

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Research interests: Unsupervised learning, continuous Bayesian networks, directional statistics, mesh processing and their application to neuroscience.

Francisco Javier Mesonero Pérez

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Research interests: Machine learning, Anomaly Detection, and its applications to Industry.

Bojan Mihaljevic

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Research interests: Supervised learning, particularly Bayesian network classifiers, and applications of machine learning to neuroscience.

Fernando Rodríguez Sánchez

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Research interests: multi-view clustering, data streams and probabilistic graphical models, with application to sensor networks and medicine..



Diego Valero

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Research interests: Machine learning, Bayesian Statistics, and its applications to Industry 4.0.

Carlos Villa Blanco

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Research interests: Supervised and unsupervised learning, probabilistic graphical models, deep learning, data streams, feature selection, and synthetic biology.

Project Management Technician


Laura Gonzalez

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Laura received her B.Sc in Information Science at the Complutense University of Madrid. She also worked at the research center of Politecnica University of Madrid, Technical Biomedical Center, and currently she works at Centre for Plant Biotechnology and Genomics and at the Computational Intelligence Group (Politecnica University of Madrid). She manages research projects.

Past members

Milton Llera.

Laura Antón. Currently at University of Almería.

Rubén Armañanzas. Currently at Krasnow Institute at George Mason University.

Hanen Borchani. Currently at SimCorp technology labs.

Luis Guerra Currently at ING Direct.

Alfonso Ibañez. Currently at Synergic Partners.

Mario Juez. Computer Software Engineer.

Hossein Karshenas. Currently at University of Isfahan.

Iñaki Leguey. Currently at Universidad Rey Juan Carlos.

Florian Leitner. Currently at Leitner Catalytics, S.L.

Pedro L. López-Cruz. Currently at Ebay.

Alberto Ogbechie. Currently at Synergic Partners.

Jesús Pérez. Currently at Universidad Rey Juan Carlos.

Luis Rodriguez Lujan. Currently at Piperlab

Roberto Santana. Currently at University of The Basque Country.

Gherardo Varando. Currently at University of Copenhagen.

Diego Vidaurre. Currently at Oxford Centre for Human Brain Activity.



Computational Intelligence Group

The Computational Intelligence Group (CIG) was created in 2008 and is lead by professors Pedro Larrañaga and Concha Bielza. Research of CIG members, both theoretical and practical, is devoted to modelization (from a statistical and machine learning perspectives), heuristic optimization, and neuroinformatics.

The main research area is modelization, whose current main issues include: data streams, multi-dimensional supervised classification, multi-label classification, clustering in high-dimensional spaces, feature subset selection using methods as Bayesian networks, regularization, classification by regression.

In heuristic optimization, which is the second main line of research, we investigate state-of-the-art questions related to the improvement of heuristic optimization methods and extension of their applicability to more complex problems (e.g. multi-objective, mixed representation, non-continuous objective functions), with special emphasis on estimation of distribution algorithms.

Neuroscience is the main field of application. Some problems that we face include: (a) neuroanatomy issues, like modeling and simulation of dendritic trees and classification of neuron types based on morphological features; (b) neurodegenerative diseases, like predicting health-related quality of life in Parkinson's disease and searching for genetic biomarkers in Alzheimer's disease.

The second main field of application is Industry 4.0 where we develop machine learning solutions for cyber-physical systems. Other application domains are: biomedicine, agriculture, bioinformatics, bibliometry and environment.

CIG has been involved in more than 100 research projects, mostly in public competitive calls but also for private companies. Current public projects include Human Brain Project, Cajal Blue Brain and several national projects from the Spanish Ministry of Science and Innovation. CIG has collaborated with companies as Telefónica I+D, Abbott, Arthur Andersen, Progenika Biopharma, Bank of Santander and Panda Security.

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