Research and development of advanced Artificial Intelligence solutions combined with state-of-the-art techniques (e.g. LLMs, Federated Learning), integrating them efficiently into hybrid edge-cloud ecosystems in different sectors, with a particular focus on optimising their performance and capabilities in cloud computing environments.
Transport
Josu Ircio Fernández
Focus on research, development and the implementation of artificial intelligence algorithms that handle different data sources, such as time series, images, videos, text and voice, with the purpose of deploying versatile, multi-sector AI applications that detect defects, predict events, classify objects, extract relevant information, analyse patterns and optimise processes.
Iñigo Bediaga Escudero
Advanced manufacturing in the following sectors: aerospace, automotive, energy, capital goods and rail.
Nerea Aranguren Achótegui
Advanced manufacturing in the following sectors: aerospace, automotive, energy, capital goods and rail.
Xabier Iturbe
Research and development of digital designs and processing architectures to optimise energy use and performance when running AI algorithms, with special focus on event-based vision.
Jon Pérez Cerrolaza
Leading research in the field of AI applied to critical systems with reliability and functional safety requirements such as autonomous and heteronomous systems.