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

Highlights

  • 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).