Francesco Ballarin

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

Highlights

  • Francesco Ballarin, Sanghyun Lee, and Son-Young Yi. Projection-based reduced order modeling of an iterative coupling scheme for thermo-poroelasticity. Submitted, 2023. arXiv:2309.01004.

  • Francesco Ballarin, Enrique Delgado Ávila, Andrea Mola, and Gianluigi Rozza. Mathematical modelling and computational reduction of molten glass fluid flow in a furnace melting basin. Submitted, 2023. arXiv:2307.14700.

  • Anna Sanfilippo, Ian Moore, Francesco Ballarin, and Traian Iliescu. Approximate deconvolution Leray reduced order model for convection-dominated flows. Finite Elements in Analysis and Design, 226:104021, 2023. arXiv:2307.10817, doi:10.1016/j.finel.2023.104021.

  • Teaching assistant for course on “Elements of numerical analysis”. Master degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Spring 2024).

  • Teaching assistant for course on “Numerical analysis”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Italy (Fall 2023 + Spring 2024).

  • 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 2023).

  • Advisor in the master thesis of Erica Pirondi, “Cluster Identification and Neural Network Application in Patients with Cardiovascular Disease”. Master degree in Data Analytics for Business, Università Cattolica del Sacro Cuore, Milano, Italy (Oct. 2023).

  • Co-advisor in the bachelor thesis of Maria Ghisini, “Numerical optimization techniques for machine learning problems”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Jul. 2023).

  • Co-advisor in the bachelor thesis of Francesco Pasqualini, “Automatic differentiation for machine learning models”. Bachelor degree in Mathematics, Università Cattolica del Sacro Cuore, Brescia, Italy (Apr. 2023).

  • 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.