Projects
A key target of ecological transition towards the zero-pollution vision for 2050 is the prevention and control of pollutants. Transportation is a key source of urban air pollution, being the main responsible of NO2 and PM emissions, with a heavy toll on public health and wellbeing. This pressing need to monitor and reduce traffic-related emissions in urban areas calls for...
IMPETUS4CHANGE (I4C) will make significant scientific advances that will enhance our collective ability to act on and adapt to near-term climate change. The overarching objective of I4C is to improve the quality, accessibility and usability of near-term climate information and services at local to regional scales where impacts are most keenly felt and on-the-ground adaptation...
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...
We are devoted to the development of computational algorithms for LifeScience, using molecular modelling techniques, bioinformatics and machine learning methods.
Our molecular modeling software, PELE, is used worldwide through its public server, and commercialised through NBD since 2017, and clearly outperformed other tools in the CSAR blind...
The Climate Variability and Change Group performs fundamental research to further our
IntelComp sets out to build an innovative Cloud Platform that will offer Artificial Intelligence based services to public administrators and policy makers across Europe for data- and evidence-driven policy design and implementation in the field of Science, Technology and Innovation (STI) policy. Large STI datasets are processed on a High Performance Computing (HPC)...
Modeling the heartbeat is a highly complex task that involves several scales and different tightly coupled problems. A large number of spatial orders of magnitude are linked, from the microscopic cell arrangement into a volumetric description, to the macroscopic shape of the cardiac chambers. In the same way, several temporal scales coexist, from...
The IOTWINS project will deliver large-scale industrial test-beds that leverage and combine data related to manufacturing and facility management optimization domains that come from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources.The goal is to build a reference architecture for the development and deployment of distributed...
The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and...
In the previous project, EPIC, we developed a consistent methodological framework for the exploration of disease comorbidity at the molecular level. EPIC provides a first overview of disease interactions from the general level to the one of individual patients. Particularly interesting is the network of patient-subgroups that matches, in a statistically significant manner,...