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MICHELE GIRFOGLIO

Curriculum and Research

GIRFOGLIO MICHELE

MICHELE GIRFOGLIO

 (MATH-05/A)

Ingegneria

Subjects

Academic Year Subject identification code Subject name ECTS Course of study
2026/2027 01239 ANALISI MATEMATICA 1 6 BUILDING AND ARCHITECTURAL ENGINEERING
2026/2027 19109 ANALISI MATEMATICA C.I. 12 INGEGNERIA AEROSPAZIALE
2026/2027 20564 MODULO ANALISI MATEMATICA 1 (MODULO) 6 INGEGNERIA AEROSPAZIALE
2026/2027 20565 MODULO ANALISI MATEMATICA 2 (MODULO) 6 INGEGNERIA AEROSPAZIALE

Publications

Date Title Type Record
2025 Data‐Driven Optimization for the Evolve‐Filter‐Relax Regularization of Convection‐Dominated Flows Articolo in rivista Go to
2025 A hybrid reduced order model to enforce outflow pressure boundary conditions in computational hemodynamics Articolo in rivista Go to
2025 Optimal transport-based displacement interpolation with data augmentation for reduced order modeling of nonlinear dynamical systems Articolo in rivista Go to
2025 Projection-based reduced order modelling for unsteady parametrized optimal control problems in 3D cardiovascular flows Articolo in rivista Go to
2025 Stabilized POD reduced order models for convection-dominated incompressible flows Articolo in rivista Go to
2025 Data-driven reduced order modeling of a two-layer quasi-geostrophic ocean model Articolo in rivista Go to
2025 Linear and nonlinear filtering for a two-layer quasi-geostrophic ocean model Articolo in rivista Go to
2025 A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework Articolo in rivista Go to
2024 A comparison of data-driven reduced order models for the simulation of mesoscale atmospheric flow Articolo in rivista Go to
2024 On the accuracy and efficiency of reduced order models: Towards real-world applications Articolo in rivista Go to
2024 Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm Articolo in rivista Go to
2024 A reduced order model formulation for left atrium flow: an atrial fibrillation case Articolo in rivista Go to
2024 An LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems Articolo in rivista Go to
2024 Computational study of numerical flux schemes for mesoscale atmospheric flows in a Finite Volume framework Articolo in rivista Go to
2023 A hybrid projection/data-driven reduced order model for the Navier-Stokes equations with nonlinear filtering stabilization Articolo in rivista Go to
2023 Validation of an OpenFOAM®-based solver for the Euler equations with benchmarks for mesoscale atmospheric modeling Articolo in rivista Go to
2023 An introduction to POD-greedy-Galerkin reduced basis method Capitolo o Saggio Go to
2023 Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural networks Capitolo o Saggio Go to
2023 GEA: A New Finite Volume-Based Open Source Code for the Numerical Simulation of Atmospheric and Ocean Flows Contributo in atti di convegno pubblicato in volume Go to
2023 Data-Driven Reduced Order Modelling for Patient-Specific Hemodynamics of Coronary Artery Bypass Grafts with Physical and Geometrical Parameters Articolo in rivista Go to
2023 A linear filter regularization for POD-based reduced-order models of the quasi-geostrophic equations Articolo in rivista Go to
2023 A novel Large Eddy Simulation model for the Quasi-Geostrophic equations in a Finite Volume setting Articolo in rivista Go to
2023 A non-intrusive data-driven reduced order model for parametrized CFD-DEM numerical simulations Articolo in rivista Go to
2023 Filter stabilization for the mildly compressible Euler equations with application to atmosphere dynamics simulations Articolo in rivista Go to
2022 A DATA-DRIVEN REDUCED ORDER METHOD FOR PARAMETRIC OPTIMAL BLOOD FLOW CONTROL: APPLICATION TO CORONARY BYPASS GRAFT Articolo in rivista Go to
2022 Finite element based Model Order Reduction for parametrized one-way coupled steady state linear thermo-mechanical problems Articolo in rivista Go to
2022 The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations Articolo in rivista Go to
2015 Characterization of Synthetic Jet Resonant Cavities Capitolo o Saggio Go to