Quercioli Nicola

With a PhD in Mathematics focused on the topological theory of GENEO operators, Nicola had followed a research path that combines theoretical rigor with technological innovation. At ENEA, he contributed to projects on the analysis of extreme climate events and automatic classification, primarily employing supervised algorithms. He also explored the integration of these techniques with the HPC Cresco infrastructure and cloud environments. In collaboration with CNIT-WiLab, he worked on the development of models for reconstructing two-dimensional signals through the use of GENEO operators.