Josep De La Puente

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El proyecto EPYSIM tiene como objetivo fundamental mejorar el conocimiento de la corteza superior bajo el NE de Iberia al integrar la caracterización de la Zona Volcánica de la Garrotxa, el área sismogenética alrededor de La Selva y la estructura litosférica 3D y las propiedades térmicas a gran escala de la transición entre los...


ChEESE-2P is the second phase of a successful research project that was coordinated by the Barcelona Supercomputing Center until 2022. It aims to address the multiple challenges posed by geohazards and accurate predictions with the help of exascale computers. The project primarily addresses European institutions responsible for operational monitoring networks but also at hardware...

The main objective of our project, KOIOS, is to develop new AI-based methods that are trustworthy (under human control and explainable), robust (resilient to attacks) and frugal in the use of resources (data, computing capabilities, energy,& ) addressing tasks in a more efficient manner than the current state-of-the-art ML/DL methods while...

Ultrasound imaging can be deeply enhanced by means of algorithms developed in the field of geophysical imaging. Such algorithms, based upon adjoint-state modelling and iterative optimization, provide quantitative images of human tissue with very high resolution. At present time, suchimages can only be attained by means of high-performance computing and using specific...

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