Filippo GATTI

Research interests

• Computational Earthquake Engineering
  • Blending physics-based numerical simulations and seismic databases using
    Generative Adversarial Networks (GAN) for earthquake engineering and structural
    health monitoring (Presented at the SECED-AFPS e-meeting: Earthquake risk modelling: Recent research advances from France and UK, 17 March 2023).

  • Factorized Fourier neural operator (F-FNO) metamodel of 3D seismic elastic wave propagation, improved by transfer learning (Presented at ECCOMAS 2024 - MS070B Deep learning and reduced order modeling for diferential equations II, 13-18 May 2024) 

     

• Applied AI to wave propagation 
  • Bridging Machine learning and Physics-Based numerical methods: experiments in engineering seismology and NDT (presented at Journée des Afliés du LMPS - 18 Novembre 2022, ENS Paris-Saclay).
  • ANR COLUMBO meeting 2023 - WP Machine learning for NDT.
  • Generative strategies to empower physics-based wave propagation with deep learning. Applications to earthquake engineering and structural health monitoring (Presented at Journées Institut SEISM 2023, at the weekly seminar at Laboratoire de Mécanique des Solides, on 14 March 2024 and at ECCOMAS 2024 - MS164C Digital Twins for Predictive Decision-Making of Engineering Systems III).

Teaching

Slideshow "Jumeaux Numériques et Smart Constructions" Mastère Spécialisé® Aménager et Construire pour la Transition Écologique.

Publications