Francesco Ballarin
Tenure-track Assistant Professor in Numerical Analysis at the Department of Mathematics and Physics, Università Cattolica del Sacro Cuore.
Research interests
Numerical analysis
Reduced order modelling
Computational fluid dynamics
Open-source software development
Contact
Highlights
Lead developer of RBniCS - reduced order modelling in FEniCS, 2015-ongoing.
Lead developer of multiphenics/multiphenicsx - easy prototyping of multiphysics problems in FEniCS/FEniCSx, 2016-ongoing.
Lead developer of FEMlium - interactive visualization of finite element simulations on geographic maps with folium, 2021-ongoing.
Lead developer of FEM on Colab/FEM on Kaggle, 2021-ongoing.
Pierfrancesco Siena, Michele Girfoglio, Francesco Ballarin, and Gianluigi Rozza. Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters. Journal of Scientific Computing, 94(2):38, 2023. arXiv:2203.13682, doi:10.1007/s10915-022-02082-5.
Monica Nonino, Francesco Ballarin, Gianluigi Rozza, and Yvon Maday. Projection based semi–implicit partitioned reduced basis method for non parametrized and parametrized fluid–structure interaction problems. Journal of Scientific Computing, 94(1):4, 2023. arXiv:2201.03236, doi:10.1007/s10915-022-02049-6.
Ivan Prusak, Monica Nonino, Davide Torlo, Francesco Ballarin, and Gianluigi Rozza. An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations. Submitted, 2022. arXiv:2211.14528.
Teaching assistant for course on “Elements of numerical analysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Spring 2023).
Teaching assistant for course on “Numerical analysis”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Fall 2022).
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 2022).
Co-advisor in the bachelor thesis of Lorenzo Ronchi, “Algorithms for arbitrary precision floating-point arithmetic”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Feb. 2023).
Advisor in the master thesis of Edoardo Frigerio, “Graph Neural Network: a real case application on Recommender System”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Feb. 2023).
Advisor in the master thesis of Lorenzo Scandolara, “Machine learning tools for data-driven physical simulations”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Feb. 2023).
Organizing committee, FEniCS 2023, Pula (Cagliari), Italy (Jun. 2023, 14-16).
Minisymposium organizer, Math 2 Product 2023, Taormina, Italy (May 2023, 30 - Jun. 2023, 1).
Invited seminar, ARIA@VT seminar on Regularized ROMs, VirginiaTech, Blacksburg, Virginia, United States (Feb. 2023, 2).
Organizer, ARIA@VT seminar on Regularized ROMs, VirginiaTech, Blacksburg, Virginia, United States (Feb. 2023, 2).
Member and unit leader of “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.
Member of “Metodi di riduzione computazionale per le scienze applicate: focus su sistemi complessi”, INdAM GNCS 2022, 2022.
Member of “Accurate Climate Change Unified Risk Assessment for Territory and Environment in sub-alpine lakes”, D.3.2 project by Università Cattolica del Sacro Cuore, 2021.