Artificial Intelligence-driven frameworks are accelerating a diverse array of critical areas of physics research. From protein structures to climate modeling, detecting gravitational waves to understanding the universe, these breakthroughs demonstrate the lasting impact AI is only beginning to have on scientific discovery. The impact of using AI to create new models for solving hard physics problems has the potential to dramatically quicken the pace of progress for scientific discovery across the most fundamental fields of knowledge that explain and shape the world and universe we live in. This trend is in particular true for all disciplines of wave physics including geophysics, optics and hydrodynamics. In the context of the Wavecomplexity1 initiative at Université Côte d’Azur, we organize AI4Waves, which will take place at the Inria Research Center of Université Côte d’Azur.

When and Where:


We will gather an international and interdisciplinary scientific community on novel AI-based approaches for modelling and simulating wave physics phenomena, in particular around several application areas of interest to Université Côte d’Azur including physics, earth science and electronics. AI4Waves is an event on the workshop format, which will include general lectures on topics that cover theoretical and methodological aspects of the use of AI/Neural Network (NN) approaches for wave physics, and more specific talks of recent or ongoing studies in application areas of interest to several laboratories of Université Côte d’Azur.

Program committee:

  • Médéric Argentina, INPHYNI, Université Côte d’Azur
  • Stéphane Barland, INPHYNI, Université Côte d’Azur
  • Mickaël Binois, Centre Inria d’Université Cote d’Azur
  • Quentin Bletery, IRD, Géoazur, Université Côte d’Azur
  • Victorita Dolean, LJAD, Université Côte d’Azur
  • Régis Duvigneau Centre de Recherche Inria d’Université Côte d’Azur
  • Mahmoud Elsawy, Centre de Recherche Inria d’Université Côte d’Azur
  • Nicolas Fortino, LEAT, Université Côte d’Azur
  • Patrice Genevet, CRHEA, Université Côte d’Azur
  • Stéphane Lanteri, Centre de Recherche Inria d’Université Côte d’Azur
  • Claire Migliaccio, LEAT, Université Côte d’Azur

Non-exclusive list of topics:

  • Discovering of physical models with NNs
  • Parameter calibration and inverse problems
  • Physics-informed NNs
  • Application in geophysics, electromagnetics, optics, hydrodynamics, etc.

For more detail, see the (still evolving) list of contributions to AI4W.


The current version of the program is finally available, have a look at the AI4W program page


Registration is free to UCA members, please let us know if you plan to attend by filling in this form as soon as possible, in any case not later than october 5th:


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