Meet
Our researchers

The ELLIS Unit Madrid is a partnership made up of professors and researchers in machine learning from the six public universities in Madrid: Universidad Autónoma de Madrid, Universidad Carlos III de Madrid, Universidad Complutense de Madrid, Universidad de Alcalá, Universidad Politécnica de Madrid and Universidad Rey Juan Carlos.

Unit Directors

Antonio Artés

UC3M

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Unit Directors
Machine Learning & reference methods with application to health. Signal processing.

Antonio G. Marques

URJC

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Unit Directors
Stochastic signal processing and non-linear optimization; machine learning for intelligent networks and AI; data science and graph theory integration.

Members & Fellows

Julián Arias Londoño

UPM

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Member
Artificial intelligence, machine learning and signal processing, mainly applied to healthcare and computer-aided diagnostic system.

Luis Baumela

UPM

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Member
Artificial intelligence and machine learning education; computer vision and deep learning; robotics and intelligent systems.

Luis M Bergasa

UAH

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Member
Intelligent and perception systems; computer vision and control engineering; advanced electronic and intelligent systems design.

Concha Bielza

UPM

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Fellow
Probabilistic graphical models, decision analysis, metaheuristics for optimization, data mining.

José Buenaposada

URJC

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Member
Computer vision and facial analysis; efficient visual algorithms for resource-constrained devices; local feature detection and description for augmented reality applications.

Dan Casas

URJC

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Scholar
Computer Graphics, Computer Vision, and Machine Learning

Julián Fiérrez

UAM

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Fellow
Security & privacy, responsible AI, pattern recognition.

Ángel García-Fernández

UPM

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Member
Bayesian inference, with emphasis on dynamic systems and multiple target tracking.

Juan Ignacio Godino Llorente

UPM

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Member
Biomedical Engineering, Computer Science, AI, Health Informatics.

Daniel Hernández Lobato

UAM

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Member
Machine Learning, AI, Computer Science.

M. Elena Hernando

UPM

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Member
Biomedical engineering, Internal medicine and Bioinformatics.

Pedro Larrañaga

UPM

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Fellow
Probabilistic graphical models, metaheuristics for optimization, data mining, classification models, and real applications.

Miguel Ángel Martín-Delgado

UCM

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Fellow
Quantum computing; quantum error correction; topological materials physics.

Pablo Martínez Olmos

UC3M

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Member
Machine learning and approximate inference methods (belief propagation, expectation propagation, variational methods).

David Martínez Rubio

UC3M

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Member
Continuous optimization, learning theory, and statistical machine learning.

Aythami Morales Moreno

UAM

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Member
Machine learning for real-world applications; auditable and secure AI; privacy and discrimination-aware learning.

Emilio Parrado Hernández

UC3M

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Member
Machine Learning, mostly Kernel Methods (Support Vector Machines, Spectral Clustering…) and their application in health and finances.

José Luis Rojo Álvarez

URJC

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Member
Statistical learning theory, digital signal processing, and complex system modelling.

Sancho Salcedo Sanz

UAH

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Fellow
Soft-computing techniques, hybrid algorithms, and neural networks.

Carmen Sánchez Ávila

UPM

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Member
Biometric identification systems; cryptography; mathematical processing of medical images; neuroscience.

Alberto Suárez

UAM

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Member
Machine learning, quantitative and computational finance, analysis of time series and information processing in the presence of noise.

Rubén Tolosana

UAM

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Member
Signal and image processing, pattern recognition, and machine learning, particularly in the areas of DeepFakes, Human-Computer Interaction, Biometrics, and Health

Rubén Vera Rodríguez

UAM

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Member
Signal and image processing, pattern recognition, HCI and biometrics.

ELLIS PhD Students

María Fernanda Alcalá Durand

UPM

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PhD Students

Onno Niemann

UAM

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PhD Students

Coordinator

Patricia Tablado

Coordinator