Francesco Ballarin

Research interests

  • Numerical analysis

  • Reduced order modelling

  • Computational fluid dynamics

  • Open-source software development

Highlights

  • Francesco Ballarin, Sanghyun Lee, and Son-Young Yi. Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity. Results in Applied Mathematics, 21:100430, 2024. arXiv:2309.01004, doi:10.1016/j.rinam.2023.100430.

  • Francesco Ballarin, Giulia Bevilacqua, Luca Lussardi, and Alfredo Marzocchi. Elastic membranes spanning deformable curves. ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 104(6):e202300890, 2024. arXiv:2207.13614, doi:10.1002/zamm.202300890.

  • Gianluigi Rozza, Francesco Ballarin, Leonardo Scandurra, and Federico Pichi. Real Time Reduced Order Computational Mechanics. SISSA Springer Series. Springer Cham, 2024. ISBN 978-3-031-49891-6.

  • Teaching assistant for course on “Elements of numerical analysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Spring 2024).

  • Teaching assistant for course on “Numerical analysis”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Fall 2023 + Spring 2024).

  • Lecturer for course on “Stochastic Processes and Optimization for Machine Learning”. Master degree in Data analytics for business, Università Cattolica del Sacro Cuore, Italy (Fall 2023).

  • Co-advisor in the master thesis of Rebecca Faustini, “Spectral element methods for fourth order elliptic problems”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Apr. 2024).

  • Advisor in the master thesis of Erica Pirondi, “Cluster Identification and Neural Network Application in Patients with Cardiovascular Disease”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Oct. 2023).

  • Co-advisor in the bachelor thesis of Maria Ghisini, “Numerical optimization techniques for machine learning problems”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Jul. 2023).

  • Member and unit leader of “ROMEU: Reduced Order Models for Environmental and Urban flows”, PRIN 2022 PNRR, 2023-2025.

  • Member of “Metodi numerici per lo studio di strutture geometriche parametriche complesse”, INdAM GNCS 2023, 2023.

  • Member and unit leader of “ARIA: Accurate ROMs for Industrial Applications”, MSCA-RISE-2019, 2022-2024.

  • Principal investigator of “Reduced order modelling for numerical simulation of partial differential equations”, D.1 project by Università Cattolica del Sacro Cuore, 2022-2024.