Monsieur Ngo Nghi Truyen HUYNH / PhD


Pilotage de la recherche et de l'innovation, gestion de projets innovants, pilotage de structures innovantes*Métiers d'accompagnement et de support à la recherche, à l'innovation et à la valorisation, au développement des Spin Off et Start-up innovantes*Entreprenariat des domaines innovants*

Professional experience

Field of activity : Hydrologie/Hydraulique/IA

Contract type : Chargé de recherche (organismes de recherche EPST, EPIC, EPA)

Function : Chargé de recherche en modélisation hydrologique distribuée et intelligence artificielle

Sector : Agriculture, chasse, sylviculture

Organization or company : INRAE

Company size : 2000

City : Aix-en-Provence

Country : FRANCE

Jobs

Research : NON

PhD

Title : Sciences de l'environnement : Ecologie

First registration date : 1 September 2022 / 3A

Doctoral school : Sciences de l'Environnement

Thesis defense date : 25 June 2025

Subject : Approches hybrides physique-IA intégrant des réseaux neuronaux dans des modèles hydrologiques distribués pour la simulation des crues à l'échelle régionale

Thesis supervisor : GARAMBOIS Pierre-André

Thesis co-supervisor :

Research unit : INRAE RECOVER Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

Master's degree

Title : Ingénieur Mathématiques Appliquées

September 2021 - INSA Toulouse

Publications

  • A Distributed Hybrid Physics-AI Framework for Learning Corrections of Internal Hydrological Fluxes and Enhancing High-Resolution Regionalized Flood Modeling
    Hydrology and Earth System Sciences, 2025
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, and Hélène Roux
    https://doi.org/10.5194/egusphere-2024-3665
  • Hybrid Physics-AI and Neural ODE Approaches for Spatially Distributed Hydrological Modeling
    Geoscientific Model Development (in discussion), 2025
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni, and Jérôme Monnier
    https://doi.org/10.5194/egusphere-2025-2797
  • Improving parameter regionalization learning for spatialized differentiable hydrological models by assimilation of satellite-based soil moisture data
    Journal of Hydrology, 2025
    Mouad Ettalbi, Pierre-André Garambois, Ngo-Nghi-Truyen Huynh, Patrick Arnaud, Emmanuel Ferreira, Nicolas Baghdadi
    https://doi.org/10.1016/j.jhydrol.2025.133300
  • SMASH v1.0: A Differentiable and Regionalizable High-Resolution Hydrological Modeling and Data Assimilation Framework
    Geoscientific Model Development, 2025
    François Colleoni, Ngo Nghi Truyen Huynh, Pierre-André Garambois, Maxime Jay-Allemand, Didier Organde, Benjamin Renard, Thomas De Fournas, Apolline El Baz, Julie Demargne, and Pierre Javelle
    https://doi.org/10.5194/egusphere-2025-690
  • Spatially Distributed Gradient-Based Calibration and Parametric Sensitivity of a Spatialized Hydrological Model Over 235 French Catchments
    Journal of Hydrology: Regional Studies, 2025
    Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle
    https://doi.org/10.1016/j.ejrh.2025.102485
  • Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High-Resolution Hydrological Model: Application to the French Mediterranean Region
    Water Resources Research, 2024
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni, Benjamin Renard, Hélène Roux, Julie Demargne, Maxime Jay-Allemand, Pierre Javelle
    https://doi.org/10.1029/2024WR037544
  • Multiscale Learnable Physical Modeling and Data Assimilation Framework: Application to High-Resolution Regionalized Hydrological Simulation of Flash Floods
    Authorea, 2024
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, Hélène Roux
    https://doi.org/10.22541/au.170709054.44271526/v2
  • Multi-gauge Hydrological Variational Data Assimilation: Regionalization Learning with Spatial Gradients using Multilayer Perceptron and Bayesian-Guided Multivariate Regression
    SHF, 2023
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni, Benjamin Renard, Hélène Roux
    https://doi.org/10.48550/arXiv.2307.02497
  • Near-Surface Seismic Arrival Time Picking with Transfer and Semi-Supervised Learning
    Surveys in Geophysics, 2023
    Ngo Nghi Truyen Huynh, Roland Martin, Thomas Oberlin, Bastien Plazolles
    https://doi.org/10.1007/s10712-023-09783-y
  • Signatures-and-sensitivity-based multi-criteria variational calibration for distributed hydrological modeling applied to Mediterranean floods
    Journal of Hydrology, 2023
    Ngo Nghi Truyen Huynh, Pierre-André Garambois, François Colleoni, Pierre Javelle
    https://doi.org/10.1016/j.jhydrol.2023.129992

Languages

Anglais : B2 - Intermédiaire supérieur

Français : B2 - Intermédiaire supérieur

Vietnamien : C2 - Maternel