Francesco Ballarin

Affiliation

Tenure-track Assistant Professor of 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

Francesco Ballarin
Department of Mathematics and Physics, Università Cattolica del Sacro Cuore
via Garzetta 48, I-25133 Brescia, Italy
phone: +39 030 2406 723
email: francesco.ballarin@unicatt.it

Highlights

I visited (again!) the group of Prof. Traian Iliescu at the Interdisciplinary Center for Applied Mathematics, Virginia Tech for a month. Thanks to the ARIA MSCA-RISE-2019 project for the financial support (January/February 2023).

Introducing FEM on Kaggle, a spin-off of FEM on Colab to use FEniCS, FEniCSx, firedrake, gmsh and ngsolve on Kaggle. First release in December 2022.

New preprint on reduced order modelling based on domain decomposition and optimization, by I. Prusak, M. Nonino, D. Torlo, F. Ballarin, and G. Rozza (November 2022).

New preprint on mathematical analysis and numerical simulations of elastic membranes with deformable boundaries, by F. Ballarin, G. Bevilacqua, L. Lussardi, and A. Marzocchi (July 2022).

New preprint on the application of HiMod to an advection-diffusion problem in microfluidics, by S. Perotto, G. Bellini, F. Ballarin, K. Calò, V. Mazzi, and U. Morbiducci (May 2022).

New preprint on data-driven model reduction using Barlow Twins self-supervised learning, by T. Kadeethum, F. Ballarin, D. O’Malley, Y. Choi, N. Bouklas, and H. Yoon (February 2022).

New preprint on semi-implicit partitioned reduced basis methods for fluid-structure interaction problems, by M. Nonino, F. Ballarin, G. Rozza and Y. Maday (January 2022).

Introducing FEM on Colab, a collection of packages that allows to easily install several finite element libraries on Google Colab. Available packages are FEniCS, FEniCSx, firedrake, gmsh and ngsolve. First released in June 2021, and from January 2022 with periodic builds.

From multiphenics to multiphenicsx, the next generation of easy prototyping of multiphysics problems in FEniCSx - version 0.2.0 released in January 2022. multiphenics is still supported, but new and existing users of FEniCS and multiphenics are encouraged to gradually move to FEniCSx and multiphenicsx.

FEMlium - interactive visualization of finite element simulations on geographic maps with folium - development of a new open source library started in May 2021 at Università Cattolica del Sacro Cuore.

Bachelor and Master thesis projects available at unicatt under my supervision. Contact me if you are interested!

RBniCS - reduced order modelling in FEniCS - visit the new website www.rbnicsproject.org launched in August 2020

Software

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.

Publications

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

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).

Students

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).

Events

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).

Projects

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.