معرفی
Francesco Marchetti is a fixed-term researcher (RTDa) at the Department of Mathematics "Tullio Levi-Civita" of the University of Padova. He holds a Master's degree in Mathematics and a PhD in Health Planning Sciences, both from the University of Padova (2016 and 2021 respectively). His research spans interdisciplinary areas including mathematical approximation theory, machine learning, and applications in medical imaging and space weather forecasting.
- Education
- Master in Mathematics, University of Padova (2016)
- PhD in Health Planning Sciences, University of Padova (2021)
Research Interests
- Approximation theory and kernel-based methods
- Machine learning and deep learning applications
- Magnetic Particle Imaging (MPI) signal reconstruction
- Space weather forecasting via neural networks
He actively collaborates with the MIDA group at the University of Genova and participates in research networks like CAA (Constructive Approximation and Applications) and RITA (Rete Italiana di Approssimazione). Current work focuses on p-Laplacians on hypergraphs and associated machine learning frameworks.
Scientific Awards
- INdAM Postdoctoral Grant (2021)
