Ricerc@Sapienza

The goal of this project is to explore new theoretical tools for processing observations over a networked domain and to apply them to cutting edge problems in information and communication. Signal processing on networks is deemed relevant since i) it improves processing performance by natural integration of prior information, ii) it extends applicability of artificial intelligence tools to non Euclidean data domains, iii) it matches novel kind of data structures which are brought in evidence by emerging fields of study. The project will explore novel filtering approaches for signals defined on graphs/manifolds, the application of these approaches to compressed representation and transmission of extended reality video content, involving natural and synthetic content. Finally, the project research framework will be applied to the relevant topic of biological network analysis, with particular reference to processing real biological network data, with particular reference, but not limited to, brain connectivity networks .