CLAUDIO CANUTO

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Full Professor

Member of Interdepartmental Center (SmartData@PoliTO - Big Data and Data Science Laboratory)

+39 0110907543 / 7543 (DISMA)

Personal web site

Research fields
Research groups Numerical Analysis and Scientific Computing
Research projects

Funded by competitive calls

  • ARIA - Accurate Roms for Industrial Applications, (2019-2023) - Responsabile Scientifico

    UE-funded research - H2020 - Excellent Science - Marie Curie

    View project record on CORDIS

    Abstract

    The project Accurate Roms for Industrial Applications aims at developing an array of mathematical methods for constructing predictive reduced-order models (ROMs) with guaranteed accuracy, robustness, reliability and efficiency for applications involving complex physical phenomena. New approaches to this challenge are proposed here with a focus on the Euler and NavierStokes equations of fluid flow, two of the most challenging continuum models with an extraordinary rich range of industrial applications. The mathematical modeling and solution of the Euler and Navier-Stokes equations is sometimes cited as the greatest challenge in continuum modeling of physical phenomena. This topic is selected as our principal focus because of its intrinsic importance, but also because the mathematical methods developed in addressing this very challenging task may well have an impact on other fields of knowledge. We plan to tackle these challenging objectives in this staff exchange program by combining the unique expertise of our extended research team whose members have made significant progress in ROM research during the past decade. This academic expertise is cross-fertilized by the exchange with knowledge intensive SMEs ans start up and well established industrial partners that will benefit from the scientific and technological results of the team and will challenge the solutions found with applications in real world problems.

    Countries

    • Italia
    • Francia
    • Germania
    • Spagna

    Institutes/Companies

    • ESTECO SPA
    • NUREA
    • VALOREM SAS
    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
    • IEFLUIDS S.R.L.
    • POLITECNICO DI TORINO
    • POLITECNICO DI MILANO
    • OPTIMAD ENGINEERING SRL
    • VOLKSWAGEN AG
    • VIRTUALMECHANICS SL
    • UNIVERSIDAD DE SEVILLA

    Departments

  • Numerical Analysis for Full and Reduced Order Methods for the efficient and accurate solution of complex systems governed by Partial Differential Equations, (2019-2022) - Responsabile Scientifico

    Nationally funded research - PRIN

    Countries

    • ITALIA
    • ITALIA

    Institutes/Companies

    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

    Departments

  • Numerical Analysis for Full and Reduced Order Methods for the efficient and accurate solution of complex systems governed by Partial Differential Equations, (2019-2022) - Responsabile Scientifico

    Project of National Significant Interest

    Countries

    • ITALIA
    • ITALIA

    Institutes/Companies

    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

    Departments

  • Numerical Analysis for Full and Reduced Order Methods for the efficient and accurate solution of complex systems governed by Partial Differential Equations, (2019-2022) - Responsabile Scientifico

    Nationally funded research - PRIN

    Countries

    • ITALIA
    • ITALIA

    Institutes/Companies

    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

    Departments

  • Numerical Analysis for Full and Reduced Order Methods for the efficient and accurate solution of complex systems governed by Partial Differential Equations, (2019-2022) - Responsabile Scientifico

    Project of National Significant Interest

    Countries

    • ITALIA
    • ITALIA

    Institutes/Companies

    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
    • SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE

    Departments

  • METODOLOGIE INNOVATIVE NELLA MODELLISTICA DIFFERENZIALE NUMERICA, (2014-2017) - Responsabile Scientifico

    Nationally funded research - PRIN

    Countries

    • ITALIA

    Departments

  • Adattivita' e avanzamento in tempo nei modelli numerici alle derivate parziali, (2004-2006) - Responsabile Scientifico

    Nationally funded research - PRIN

    Abstract

    Adaptivity and time-advancing in numerical models for partial differential equations

    Countries

    • ITALIA

    Departments

    • Dipartimento di Matematica
  • Trattamento numerico di modelli alle derivate parziali aventi soluzioni irregolari e/o strutturate, (2000-2002) - Responsabile Scientifico

    Nationally funded research - PRIN

    Abstract

    Numerical treatment of partial differential models having non-smooth and/or structured solutions

    Countries

    • ITALIA

    Departments

    • Dipartimento di Matematica
  • Trattamento numerico di modelli alle derivate parziali avanti soluzioni irregolari, (1998-2000) - Responsabile Scientifico

    Nationally funded research - PRIN

    Abstract

    Numerical treatment of partial differential models having non-smooth solutions

    Countries

    • ITALIA

    Departments

    • Dipartimento di Matematica
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Funded by commercial contracts