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.

  • Julien Genovese, Francesco Ballarin, Gianluigi Rozza, and Claudio Canuto. Weighted reduced order methods for uncertainty quantification in computational fluid dynamics. In Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, and Marta D'Elia, editors, Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators: RAMSES, pages 127–151. Springer Nature Switzerland, 2024. arXiv:2303.14432, doi:10.1007/978-3-031-55060-7_6.

  • 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.

  • Lecturer for course on “Elements of numerical analysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Spring 2025).

  • Lecturer for course on “Computational fluid dynamics”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Fall 2024).

  • Lecturer for course on “Numerical analysis”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Fall 2024 + Spring 2025).

  • 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 2024).

  • Advisor in the master thesis of Cinzia Freretti, “Computational fluid dynamics for blood flows”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Jul. 2024).

  • Co-advisor in the bachelor thesis of Meryem Chibou, “Gauss elimination via the Bareiss algorithm”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Jul. 2024).

  • 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).

  • 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.