Speaker
Giorgia Vitanza
Description
The main objective of the project is to improve the quality and usability of data from next-generation radio telescopes, such as those involved in the SKA project, by developing advanced methodologies to increase resolution, automatically remove artifacts, and intelligently compress datasets to optimize storage. These datasets, extremely large and multidimensional, require innovative solutions that integrate high-performance computing (HPC), machine learning, and immersive visualization technologies. The expected outcomes include new tools for the analysis and management of astrophysical big data, contributing to scientific progress in astronomy and generating broader technological impacts across various domains.