Agenda

03 Giu 2025 10:00

Approximating the response of complex hydrological systems: from theory to real-world applications

Sala Conferenze Orio Zanetto, Edificio ALFA - Campus Scientifico via Torino

Mathematical problems such as optimal control, inverse problems, and sensitivity analysis frequently arise in hydrological applications. However, solving them is often infeasible using high-fidelity computational models derived from the physical descriptions of these systems. The aim of this workshop is to provide an overview of how to address these challenges using surrogate models that efficiently replicate the key features of the system.

Programme:

  • 10:00 - 10:40: Adam Siade, Reduced-dimensional gaussian process machine learning for groundwater allocation planning using swarm theory
  • 10:45 - 11:25: Reygie Macasieb, A probabilistic approach to surrogate-assisted multi-objective optimization of complex groundwater problems
  • Coffee Break
  • 11:40 -12:20: Federico Piazzon, Surrogate modelling and sensitivity analysis of Kelvin-Voigt viscoelastic flow by polynomial approximation
  • Lunch Break
  • 14:00 - 14:40: Boumediene Hamzi, Bridging machine learning, dynamical systems, and algorithmic information theory: Insights from sparse kernel flows, Poincaré normal forms and PDE simplification
  • 14:45 - 15:25: Antonia Larese - Damiano Pasetto: RBF-based Surrogates of a high-fidelity simulation model of a debris flow

This workshop is funded by the project Hydro-ROM: “Reduced order models of hydraulic protection systems for extreme water hazards”, PRIN222022PXYYK5, CUP: H53D23001350006.

Organizers:
Damiano Pasetto, Gabriele Santin, Antonia Larese 

Please register at the link: https://forms.gle/RAFHerwSg3mhzSCY6
(QR code in the attached Poster)

Lingua

L'evento si terrà in inglese

Organizzatore

Department of Environmental Sciences, Informatics and Statistics [DESC-DAIS]

Allegati

Poster 1628 KB
Programme 296 KB

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