W​orkshop on

Machine Learning for Fluid Dynamics


6th - 8th March 2024


Sorbonne University, Paris, France





This two and half day long workshop will be the first edition of a “Machine Learning for Fluid Dynamics” workshop
in relation with the SIG54 activities.

Pierre and Marie Curie (Jussieu) Campus of Sorbonne University,
4 Place Jussieu, 75005, Paris, France


The workshop invites abstract submissions on any aspect of Machine Learning applied to Fluid Dynamics problems. These include, but are not limited to:

  • data-driven/data-augmented models (e.g., rheology, turbulence modeling, combustion, multiphase, ...);
  • ML-assisted reduced-order modelling or surrogate modeling of flows, feature detection, signal processing;
  • ML-based flow control or optimization;
  • super-resolution reconstruction of flow fields;
  • uncertainty quantification;
  • ML-accelerated flow solvers.

Whenever possible, the authors are encouraged to use the workshop test cases to demonstrate their proposed approaches. However, this is not mandatory, and different test cases will be accepted.



Keynote Speakers:

Nils Thürey, TU Munich, Germany

Nils Thürey Lecture title: "Unifying Forces: Towards the Convergence of Numerical Simulations and Machine Learning" Abstract: In this presentation, I will delve into recent advancements from the area of deep...

Romit Maulik, Penn State, US

Romit Maulik Lecture title: "Turbulence Modeling for Large-eddy Simulations Using Machine Learning" Abstract: In this talk, I will go through past and present efforts to leverage scientific machine learning for...

Heinz Pitsch, RWTH Aachen University, Germany

Heinz Pitsch Lecture title: "​ Advancing Turbulent Combustion Modeling for Future Renewable Fuels: Unveiling the potential of super-resolution generative adversarial networks " Abstract: Turbulent...

Bruno Desprès, Sorbonne U, France

Bruno D esprès Lecture title: "​ On Some Foundations of Machine Learning Approximations, with Application to Interface Transport " Abstract: After reviewing some recent approximation results, I will...

Emmanuel De Bézenac, ETH Zurich, Switzerland

Emmanuel De Bézenac Lecture title: " ​ Representation Equivalent Neural Operators " Abstract: Recently, operator learning, or learning mappings between infinite-dimensional function spaces, has garnered...


Local Organizing Committee:
  • Prof Paola CINNELLA (Sorbonne University)
  • Prof Taraneh SAYADI (Cnam)
  • Prof Patrick GALLINARI (Sorbonne University)
  • Dr. Xavier MERLE (ENSAM Paris)

    S​cientific Committee:
  • I​vette Maria Rodriguez Perez (U Politecnica Catalunya)
  • Andrea Beck (U Stuttgart)
  • Georgios Rigas (Imperial College)
  • Richard Dwight (TU Delft)
  • Ricardo Vinuesa (KTH)
  • Luca Magri (Imperial College)
  • Pedro Stefanin Volpiani (Onera)
  • Maria Vittoria Salvetti (U. Pisa)
  • Oriol Lehmkuhl (Barcelona Supercomputing Center)
  • Stefan Hickel (TU Delft)
  • Alessandro Parente (U. Libre Bruxelles)
  • Heng Xiao (U. Stuttgart)
  • Laurent Cordier (CNRS-PPRIME)
  • Bruno Desprès (Sorbonne University)
  • Elie Hachem (Mines ParisTech)
  • Christopher Rumsey (NASA Langley)
  • Gary Coleman (NASA Langley)
  • Marcello Meldi (ENSAM Lille)



    Please find some information about the nearby hotels.

    Hotels close to Jussieu Campus but are within Latin district hence they are more expensive:

    Less expensive hotels can be found around Place d’Italie (13e arrondissement), for instance:

    All these are about 20 minutes walking distance from Jussieu (or 10 minutes by metro 7), and well connected to everywhere in Paris.












    Registration is closed

    ERCOFTAC members: €350

    Non-ERCOFTAC members: €500

    ERCOFTAC PhD students: €350

    Non-ERCOFTAC PhD students: €400


    The number of places is limited and that priority will be given to authors of an abstract.

    L​ate registration:

    ERCOFTAC members: €450

    Non-ERCOFTAC members: €600

    ERCOFTAC PhD students: €450

    Non-ERCOFTAC PhD students: €500