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Artificial Intelligence

The Artificial Intelligence Area is an interdisciplinary research group focused on the study and application of advanced techniques to support decision-making in the operation and planning of industrial systems, equipment and processes. Our work balances basic research on AI models with primarily applied research oriented to solving complex problems in real-world environments.
We develop our research across a wide range of industrial sectors, both through direct collaboration with companies and through projects funded in competitive calls at Spanish and European level. To ensure effective technology transfer, we maintain a portfolio of in-house tools ready to be deployed in solving industrial challenges, contributing directly to the competitiveness and efficiency of our clients and collaborators.
Beyond technical optimization, our ultimate vocation is the betterment of society through the responsible and ethical use of technology. Our fields of activity and the techniques we apply are defined and modified with agility, adapting rigorously to the state of the art and to the evolving interests of an increasingly intelligent and sustainable global industry.

Research topics

  • Reinforcement Learning, Intelligent Agents and Robotics
  • Deep Learning for Industrial Process and Asset Optimization
  • Safe, Trustworthy, Fair and Interpretable AI
  • AI for Smart Industry, from Cloud to Edge (IoT)
  • Probabilistic Artificial Intelligence and Bayesian Inference
  • Machine Learning and Advanced Analytics
  • Mathematical and Causal Models
  • Advanced Optimization, Bayesian Optimization and Mathematical Methods for AI
  • Natural Language Processing and Generative AI
  • Computer Vision and Image Processing

Publications

Education

Coordinator

Álvaro López is a researcher at the IIT and a professor at ICAI, where he teaches dynamic systems, automatic control, electronics, and artificial intelligence, with a focus on reinforcement learning.

He is the principal investigator of the Smart Industry Chair, where he leads applied research on the use of digital technologies—generative AI, computer vision, LLM-based agents, synthetic data generation, and training environments for artificial agents—to improve industrial processes across various sectors.

He also directs executive programs on generative artificial intelligence for professionals at Comillas Onexed.

His work was recognized with an Honorable Mention by the Industry 4.0 Observatory in 2021.

Members

Associate Professor

Alfaya Sánchez,
David
Research Assistant

Baños Ramos,
Andrea
Research Assistant

Blanco Vigo,
Marcos
Research Associate Professor

Campos Fernández,
Francisco Alberto
Research Assistant

Coll Franck,
Anne Maren
Associate Professor

Contreras Bárcena, David
Research Assistant

Cubillo LLanes,
Diego
Student Research Assistant

Díaz Álvaro,
Cecilia
Assistant Professor

Güitta López,
Lucía
Associate Professor

López López,
Gregorio
Research Assistant

Lorente Benítez,
Irene
Research Assistant

Olucha Royo,
Carles
Assistant Professor

Pizarroso Gonzalo,
Jaime
Research Assistant

Polo Molina,
Alejandro
Associate Professor

Portela González,
José
Postdoctoral Researcher

Reneses Botija,
María
Research Assistant

Rico Díez,
Olga
Research Assistant

Ruiz González,
Berta
Senior Associate Professor

Sánchez Miralles,
Álvaro
Assistant Professor

Sánchez Pérez,
Pablo
Senior Associate Professor

Sánchez Úbeda,
Eugenio Francisco
Visiting Student

Unnisa,
Deeba