Projectes

Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged...

Europe is implementing an AI strategy that seeks to create a research environment characterised by scientific excellence and that is consistent with the fundamental ethical values of its citizens. Part of this strategy foresees the consolidation of ongoing research activities through the creation and maintenance of an AI on-demand Platform that will act as a community...

Biomaterials in healthcare span almost all medical fields, ranging from recognised materials to high-innovative innovative and multifunctional biomaterials. One of the main challenges is to provide accessible and well-structured data on biomaterials for all relevant practitioners and user groups. BIOMATDB+ aims to create an advanced database for biomaterials providing...

As our planet heats up due to climate change, outbreaks of zoonotic diseases – diseases that spread from animals to humans – are increasing and expanding to new parts of the world, in particular Europe. Warmer temperatures, more variable rainfall, and the loss of biodiversity influence the survival and spread of zoonotic pathogens, and the reproduction and geographic location of...

This project primary targets Catalan SMEs (with a special focus on manufacturing companies and technology providers), technology start-ups and public administrations. Catalonia has a strong industrial base, with 35,339 companies (99% SMEs) which represent 18,1% of Spanish industrial enterprises. Data from 2019 shows that only 16% of those companies had adopted advanced...

CAELESTIS will develop an end-to-end Interoperable Simulation Ecosystem (ISE) that will perform multidirectional dataflow across the aircraftvalue chain linking product design and distributed engineering teams´ CAD-CAE tools, to accelerate the design and engineering optimization of disruptive aircraft and engine configurations, ensuring their manufacturability from the...

Extreme climatic events, environmental degradation and socio-economic inequalities exacerbate the risk of infectious disease epidemics. We lack the evidence-base to understand and predict the impacts of extreme events and landscape changes on disease risk, leaving communities in climate change hotspots vulnerable to increasing health threats. This is in part due to a lack of...

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...

Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors. Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts. However, especially in...

The project aims at developing a computational platform for virtual testing of industrial combustors using High-Performance Computing (HPC). It uses an advanced modelling strategy based on high-fidelity numerical simulations and HPC-based data analysis tools to obtain quantitative information about combustion performance in terms of combustion dynamics, pollutant formation...