Tenure-track Assistant Professor in Numerical Analysis at the Department of Mathematics and Physics, Catholic University of the Sacred Heart.
- Numerical analysis
- Reduced order modelling
- Computational fluid dynamics
- Cardiovascular mathematics
- Multiphysics problems
- Optimal control and shape optimization
Francesco Ballarin
Department of Mathematics and Physics, Catholic University of the Sacred Heart
via Garzetta 48, I-25133 Brescia, Italy
phone: +39 030 2406 723
- 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, 2021-ongoing.
- M. Strazzullo, M. Girfoglio, F. Ballarin, T. Iliescu, and G. Rozza, “Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows“, 2021.
- F. Pichi, F. Ballarin, G. Rozza, and J. S. Hesthaven, “An artificial neural network approach to bifurcating phenomena in computational fluid dynamics“, 2021.
- T. Kadeethum, F. Ballarin, Y. Choi, D. O’Malley, H. Yoon, and N. Bouklas, “Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques“, 2021.
- E. Fevola, F. Ballarin, L. Jiménez-Juan, S. Fremes, S. Grivet-Talocia, G. Rozza, and P. Triverio, “An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations“, 2021.
- Teaching assistant for course on “Numerical analysis“. Bachelor degree in Mathematics, Catholic University of the Sacred Heart, Italy (Fall 2021 & Spring 2022).
- Lecturer for course on “Stochastic Processes and Optimization for Machine Learning“. Master degree in Data analytics for business, Catholic University of the Sacred Heart, Italy (Fall 2021).
- Training activities for course on “Computational Mechanics by Reduced Order Methods“. Ph.D. in Mathematical Analysis, Modelling, and Applications, SISSA, Italy and Master in HPC, SISSA-ICTP, Italy (Spring 2021).
- Committee member in the bachelor thesis of R. Faustini, “Numerical analysis techinques in celestial mechanics”. Bachelor degree in Mathematics, Catholic University of the Sacred Heart, Brescia, Italy (Sep. 2021).
- Co-advisor in the master thesis of P. Siena, “Reduced order methods for hemodynamics modelling“. Master degree in Mathematical Engineering, Politecnico di Torino, Italy (Jul. 2021).
- Committee member in the master thesis of J. Tattersall, “Hemodynamic modelling of arteriovenous grafts”. Master degree in Biomedical Engineering, Eindhoven University of Technology, the Netherlands (May 2021).
- Minisymposium organizer, Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology 2021, Online (Sep. 2021, 26-29), minisymposium on Advances in reduced order modeling of solids, fluids, and porous media.
- Contributed talk, ICTAM 2020+1, Online (Aug. 2021, 22-27).
- Minisymposium organizer, SIAM GS 2021, Online (Jun. 2021, 21-24), minisymposium on Multiphysics Modeling in Fractured Porous Media.
- Invited seminar, SCIENCE@HOME, Catholic University of the Sacred Heart, Brescia, Italy (Jun. 2021, 18).
- Member of Accurate Climate Change Unified Risk Assessment for Territory and Environment in sub-alpine lakes, D.3.2 project by the Catholic University of the Sacred Heart, 2021.
- Member of Advanced Numerical Techniques for Industrial Applications, INdAM GNCS 2020, 2020.
- Member of Numerical Analysis of Full and Reduced Order Methods for Partial Differential Equations, PRIN 2017, 2019.
- Member of Advanced Intrusive and Non-Intrusive Model Order Reduction Techniques and Applications, INdAM GNCS 2019, 2019.