Francesco Ballarin
Associate Professor of Numerical Analysis at the Faculty of Mathematical, Physical and Natural Sciences, Università Cattolica del Sacro Cuore.
Research interests
Numerical analysis
Reduced order modelling
Computational fluid dynamics
Open-source software development
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.
Lead developer of viskex - interactive visualization for firedrake and FEniCSx, 2023-ongoing.
Huipeng Gu, Francesco Ballarin, Mingchao Cai, and Jingzhi Li. POD-based reduced order modeling of global-in-time iterative decoupled algorithms for Biot's consolidation model. Submitted, 2025. arXiv:2508.04082.
Donato Cerrone, Davide Riccobelli, Sara Gazzoni, Piermario Vitullo, Francesco Ballarin, Jacopo Falco, Francesco Acerbi, Andrea Manzoni, Paolo Zunino, and Pasquale Ciarletta. Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks. Mathematical Biosciences, 387:109468, 2025. arXiv:2412.05330, doi:10.1016/j.mbs.2025.109468.
Maria Strazzullo, Francesco Ballarin, Traian Iliescu, and Tomás Chacón Rebollo. Variational multiscale evolve and filter strategies for convection-dominated flows. Computer Methods in Applied Mechanics and Engineering, 438:117811, 2025. arXiv:2411.13957, doi:10.1016/j.cma.2025.117811.
Lecturer for course on “Elements of numerical analysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Spring 2025).
Lecturer for course on “Interdisciplinarity in science”. Post-graduate A28 program for middle school teachers, 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).
Advisor in the master thesis of Sveva Maria Martilotti, “Deep Learning for breast cancer diagnosis: a comparison of optimizers in a Convolutional Neural Network”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Sep. 2025).
Advisor in the master thesis of Sara Pascali, “Neural Networks for Predicting Tennis Match Outcome”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Sep. 2025).
Co-advisor in the master thesis of Aurora Bodei, “Mathematical models and simulation of hemolysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Sep. 2025).
Organizing committee, FEniCS 2025, Groningen, The Netherlands (18-20 Jun. 2025).
Talk in a minisymposium, XII International Conference on Adaptive Modeling and Simulation ADMOS 2025, Barcelona, Spain (9-11 Jun. 2025).
Minisymposium organizer, XII International Conference on Adaptive Modeling and Simulation ADMOS 2025, Barcelona, Spain (9-11 Jun. 2025).
Organizing committee, YoungPeople4Math 2025, Brescia, Italy (20 May 2025).
Member and unit leader of “ROMEU: Reduced Order Models for Environmental and Urban flows”, PRIN 2022 PNRR, 2023-2025.
Member of “Mathematical models for viscoelastic biological matter”, PRIN 2022, 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.