Summer School on Reduced Order Methods in Computational Fluid Dynamics

SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy

SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy

Via Bonomea 265, 34136 Trieste, Italy

The scope and the structure of the Summer School (II Edition)

The scope of the summer school is to provide an overview of reduced order methods with particular emphasis on fluid dynamics problems. The school will start with a brief introduction on the different full order discretization techniques usually employed in computational fluid dynamics (Finite Element and Finite Volume Method) and will later introduce different reduced order modeling strategies.

The methodologies introduced during the classes will also be employed during practical exercises using the computational framework developed at SISSA. In particular the libraries RBniCS and ITHACA-FV, maintained by the SISSA mathLab group, will be used.

This is the second edition, the previous Summer School on Reduced Order Methods in Computational Fluid Dynamics was held in July 2019, in Trieste.

SISSA Lecturers: Gianluigi Rozza, Giovanni Stabile, Michele Girfoglio, Martin Hess, Davide Torlo, Nicola Demo, Caterina Balzotti, Anna Ivagnes, Francesco Romor, Martina Teruzzi, Anna Nikishova, Martina Cracco, Laura Meneghetti.

Guest Lecturers: Francesco Ballarin (Catholic University of the Sacred Heart Brescia), Andrea Mola (IMT School for Advanced Studies Lucca), Federico Pichi (École Polytechnique Fédérale de Lausanne), Maria Strazzullo (Politecnico di Torino), Marco Tezzele (The University of Texas at Austin), Efthymios Karatzas. (National Technical University of Athens), Monica Nonino (University of Vienna), Samuele Rubino (University of Sevilla, Spain), Romit Maulik (Argonne National Laboratories, US).

Scientific Committee: Gianluigi RozzaGiovanni Stabile, Michele Girfoglio.

Organizing Committee: SISSA mathLab staff.

The Summer School will be of 5 days; Also, there will be a poster session open to students and early postdocs. Participants are encouraged to prepare a poster that summarizes their research activity that will be presented during the summer school.

Group photo of the second edition of the Summer School on Reduced Order Methods in Computational Fluid Dynamics (July 2022).

The school is organized in cooperation with SISSA SIAM student chapter and it is inserted in the framework of the ERC AROMA-CFD, ERC POC ARGOS, ARIA (Accurate ROMs for Industrial Applications) and eFlows4HPC (Enabling Dynamic and Intelligent workflows in the future EuroHPC ecosystem) projects.




Registration Form
    • 1
    • 2
      Introduction on Reduced Order Methods in CFD: State of the art and Perspectives
      Speaker: Prof. Gianluigi Rozza
    • 3
      A brief Technical Introduction on Reduced Order Methods based on Galerkin Projection
      Speaker: Prof. Gianluigi Rozza
    • 3:30 PM
      Coffe Break
    • 4
      Basics Of the Finite Element Method
      Speaker: Dr Maria Strazzullo
    • 5
      Reduced Basis for Finite Element Problems
      Speaker: Dr Maria Strazzullo
    • 6
      A posteriori error estimation for certified reduced basis methods
      Speaker: Dr Federico Pichi
    • 7
      Non-affine (and nonlinear) problems
      Speaker: Dr Federico Pichi
    • 8
      Reduced Order Methods for Flow Control
      Speaker: Dr Maria Strazzullo
    • 10:30 AM
      Coffe Break
    • 9
      Reduced order modelling in bifurcating parametrised non-linear equations
      Speaker: Dr Federico Pichi
    • 10
      Best Practices in Programming
      Speaker: Dr Nicola Demo
    • 12:30 PM
      Lunch Break
    • 11
      Practical Session with RBniCS I : worked problems
      Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo
    • 12
      Practical Session with RBniCS II : worked problems
      Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo
    • 3:30 PM
      Coffe Break
    • 13
      Reduced Order Models for Fluid Structure Interaction
      Speaker: Dr Monica Nonino
    • 14
      Non-intrusive data-driven reduced order model for biomedical applications
      Speakers: Dr Michele Girfoglio, Dr Caterina Balzotti
    • 15
      Data-driven reduced order modeling of natural convection in porous media using convolutional autoencoders and Barlow Twins self-supervised learning
      Speaker: Dr Francesco Ballarin
    • 16
      POD-ROMs for incompressible flows: local projection, supremizers stabilization and RANS turbulence models
      Speaker: Dr Samuele Rubino
    • 17
      Reduced Basis for Embedded Methods
      Speaker: Dr Efthymios Karatzas
    • 10:30 AM
      Coffe Break
    • 18
      Weighted Reduced Order approaches for Uncertainty Quantification
      Speaker: Dr Davide Torlo
    • 19
      Spectral Element Method for Computational Fluid Dynamics
      Speaker: Dr Martin Hess
    • 12:30 PM
      Lunch Break
    • 20
      Introduction on the Finite Volume Method and turbulence modelling
      Speaker: Dr Giovanni Stabile
    • 3:30 PM
      Coffe Break
    • 21
      Non-intrusive reduced-order modeling using scientific machine learning
      Speaker: Dr Romit Maulik
    • Poster blitz
      • 22
        Non-linear reduction for data-driven non-intrusive reduced-order models with parallel autoencoders
        Speaker: Aly Karim Yehia
      • 23
        A continuous trainable filter for convolution with unstructured data
        Speaker: Dario Coscia
      • 24
        Comparing Different Nonlinear Dimensionality Reduction Techniques for Data-Driven Unsteady Fluid Flow Modeling
        Speaker: Hunor Csala
      • 25
        SHOPROMs: SHip Optimization with Reduced Order Methods
        Speaker: Lorenzo Fabris
      • 26
        A Digital Twin of an Operating Theater
        Speaker: Giovanna Gargiulo
      • 27
        Adjacency-based DMD on Deforming Grids for Vortex-Induced Vibrations
        Speaker: Leonidas Konstantinos Gkimisis
      • 28
        A novel deep learning architecture for the model reduction of parametric time-dependent problems
        Speaker: Isabella Carla Gonnella
      • 29
        A data-driven reduced order modeling framework for shape optimization of marine propellers
        Speaker: Anna Ivagnes
      • 30
        ROM for Large-scale Modelling of Urban Air Pollution
        Speaker: Moaad Khamlich
      • 31
        A reduced order model for segregated FSI solvers based on a ALE approach
        Speaker: Valentin Nkana
      • 32
        A Numerical Proof of Shell Model Turbulence Closure
        Speaker: Giulio Ortali
      • 33
        Machine Learning and Optimal Transport for shape parametrisation
        Speaker: Guglielmo Padula
      • 34
        Data Driven Methods for Delay-Differential Equations
        Speaker: Alessandro Pecile
      • 35
        A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations
        Speaker: Ivan Prusak
      • 36
        Reduced order model of airflow in a room with two unidirectional air diffusers
        Speaker: Dario Pupic
      • 37
        A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts
        Speaker: Piefrancesco Siena
    • 5:33 PM
      Aperitif and posters discussion
    • 38
      Computational reduction for CFD problems with turbulence
      Speaker: Dr Giovanni Stabile
    • 39
      A Reduced Order Model for a LES filtering approach in a Finite Volume environment
      Speaker: Dr Michele Girfoglio
    • 10:30 AM
      Coffe Break with Group Picture
    • 40
      Reduction in the parameter space
      Speaker: Dr Marco Tezzele
    • 41
      Non-Intrusive Reduced Order Models for CFD
      Speaker: Dr Marco Tezzele (SISSA)
    • 12:30 PM
      Lunch Break
    • 42
      Practical Session with ITHACA-FV
      Speaker: Dr Giovanni Stabile
    • 43
      Practical Session with ITHACA-FV
      Speaker: Dr Giovanni Stabile
    • 3:30 PM
      Coffe Break
    • 44
      Python Companion packages for preprocessing
      Speaker: Dr Nicola Demo
    • 45
      ROM and Industrial Applications
      Speaker: Dr Andrea Mola
    • 46
      An efficient computational framework for atmospheric and ocean flows
      Speaker: Dr Michele Girfoglio
    • 8:00 PM
      Dinner In Trieste
    • 47
      A Reduced Approach for Artificial Neural Networks
      Speaker: Dr Laura Meneghetti
    • 48
      Digital Twins: state of the art and future challenges
      Speaker: Dr Martina Teruzzi
    • 49
      Application of Neural Networks in the optimisation of a hybrid energy system
      Speaker: Dr Anna Nikishova
    • 10:30 AM
      Coffe break
    • 50
      Deep-learning based ROMs for fast transient dynamics
      Speaker: Dr Martina Cracco
    • 51
      Data Enhanced Reduced Order Models for Turbulent Flows
      Speaker: Dr Anna Ivagnes
    • 52
      Non-linear MOR: non-linear manifold method
      Speaker: Dr Francesco Romor
    • 53