Tenure-track Assistant Professor of Numerical Analysis at the Department of Mathematics and Physics, Università Cattolica del Sacro Cuore.
Reduced order modelling
Computational fluid dynamics
Open-source software development
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.
Federico Pichi, Francesco Ballarin, Gianluigi Rozza, and Jan S. Hesthaven. An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. Computers & Fluids, 254:105813, 2023. arXiv:2109.10765, doi:https://doi.org/10.1016/j.compfluid.2023.105813.
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 + Spring 2023).
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).
Minisymposium organizer, SIAM Southeastern Atlantic Section Annual Meeting, Virginia Tech, Blacksburg, Virginia, United States (Mar. 2023, 25-26).
Invited seminar, Applied and Computational Mathematics Seminar, Department of Mathematics, Florida State University, Tallahassee, Florida, United States (Feb. 2023, 21).
Member of “Metodi numerici per lo studio di strutture geometriche parametriche complesse”, INdAM GNCS 2023, 2023.
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.