Francesco Ballarin

Tenure-track Assistant Professor of Numerical Analysis

Catholic University of the Sacred Heart

Italy

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Francesco Ballarin is a Tenure-track Assistant Professor of Numerical Analysis at the Catholic University of the Sacred Heart in Italy. His research focuses on reduced order modeling and its applications in various complex systems, including cardiovascular flows, convection-dominated flows, and thermo-poroelasticity. Recent publications highlight his work on model order reduction techniques and optimization strategies for solving advanced mathematical problems in applied sciences.

Articles (12)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (6)

Fabian Key

TU Wien

AUSTRIA

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Tomás Chacón Rebollo

Full Professor of Mathematical Analysis

Universidad de Sevilla

SPAIN

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Piero Triverio

Associate Professor

University of Toronto

CANADA

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Pasquale Claudio Africa

Assistant Professor

Scuola Internazionale Superiore di Studi Avanzati

ITALY

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Rob Stevenson

Professor

University of Amsterdam

NETHERLANDS

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Michele Girfoglio

Assistant Professor

SISSA

ITALY

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Francesco Ballarin

Research Interests

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Articles (12)

Variational multiscale evolve and filter strategies for convection-dominated flows

Projection-based reduced order modelling for unsteady parametrized optimal control problems in 3D cardiovascular flows

Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity

Approximate deconvolution Leray reduced order model for convection-dominated flows

Model order reduction for deforming domain problems in a time‐continuous space‐time setting

An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations

Consistency of the full and reduced order models for evolve-filter-relax regularization of convection-dominated, marginally-resolved flows

Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: Comparison with linear subspace techniques

An optimal control approach to determine resistance‐type boundary conditions from in‐vivo data for cardiovascular simulations

A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences

Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation

Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height

Collaborators (6)

Fabian Key

Tomás Chacón Rebollo

Piero Triverio

Pasquale Claudio Africa

Rob Stevenson

Michele Girfoglio

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