GIOVANNI STABILE

Has grant

Assistant Professor (RTD-B)

University of Urbino

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Fluid Mechanics Fluid Mechanics professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Giovanni Stabile is an Assistant Professor (RTD-B) at the University of Urbino, Italy. His research focuses on non-intrusive model reduction techniques, particularly in the context of advection-dominated hyperbolic problems and urban air pollution predictions, leveraging neural networks and reduced-order modeling. Additionally, he explores applications in biological differential equations and targeted drug delivery systems.

Recent Grants

Grant: Close

Research Grants for Doctoral Candidates and Young Academics and Scientists (more than 6 months), 2015/16

Open Date: 2015-10-01

Close Date: 2016-05-01

Grant: Close

Research Grants - Short-Term Grants, 2015

Open Date:

Close Date:

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (6)

PATRICIA BARRAL

Profesora Titular de Universidad

Universidade de Santiago de Compostela

SPAIN

View details

Sajad Salavatidezfouli

Aarhus University

DENMARK

View details

Gianluigi Rozza

Full Professor

Scuola Internazionale Superiore di Studi Avanzati

ITALY

View details

Andrea Mola

Associate Professor

IMT School for Advanced Studies Lucca

ITALY

View details

László Környei

associate professor

Széchenyi István Egyetem

HUNGARY

View details

Davide Papapicco

Graduate Teaching Assistant

University of Auckland

NEW ZEALAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

GIOVANNI STABILE

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (16)

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation

Physics informed neural network framework for unsteady discretized reduced order system

A reduced-order model for advection-dominated problems based on the Radon Cumulative Distribution Transform

Effect of particle aspect ratio in targeted drug delivery in abdominal aortic aneurysm

A SIMPLE PROBLEM FOR SIMULATING DEMOGRAPHIC NOISE IN BIOLOGICAL DIFFERENTIAL EQUATION MODELS: A DISCREPANCY EFFECT

Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions

A physics-based reduced order model for urban air pollution prediction

Novel methodologies for solving the inverse unsteady heat transfer problem of estimating the boundary heat flux in continuous casting molds

Hybrid data-driven closure strategies for reduced order modeling

Assessment of URANS and LES methods in predicting wake shed behind a vertical axis wind turbine

The Neural Network shifted-proper orthogonal decomposition: A machine learning approach for non-linear reduction of hyperbolic equations

A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation

Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters

Reduced order models for the incompressible Navier‐Stokes equations on collocated grids using a ‘discretize‐then‐project’ approach

A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step

Enhancing CFD predictions in shape design problems by model and parameter space reduction

Collaborators (6)

PATRICIA BARRAL

Sajad Salavatidezfouli

Gianluigi Rozza

Andrea Mola

László Környei

Davide Papapicco

Make your next move.