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Guillaume Artigue
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Documents
Présentation
*Teacher and researcher in hydrology, hydrometeorology and hydrogeology at IMT Mines Alès*
**Research :**
- Simulating, forecasting and understanding hydrosystems using artificial intelligence, statistics and physically-based modeling for droughts, underground water and floods.
- Specialized in mediterranean flash flood events.
- Willing to develop my research towards hydrometeorological coupling.
**Teaching :**
- Teaching hydrology, hydrogeology, hydropower production and GIS at IMT Mines Alès
**Education and experience :**
- 2006 Geology Bachelor (Montpellier University)
- 2007 Geology Maîtrise (Montpellier University)
- 2009 Geography (Natural Hazards and Catastrophes Management) Master (Montpellier University)
- 2010-2013 Co-founder and consultant hydrology and natural hazards management for Keraunos SAS (Company of the French Observatory of Tornadoes and Severe Storms)
- 2012 PhD in Hydrology "*Flash flood forecasting with neural networks: generalizing to ungauged basins*" (Montpellier University)
- 2013-2017 Scientific and Modeling Manager at Hydrique (Lausanne, Switzerland) - in charge of the enhancement of hydrological forecasts for hydropower production and flood management / Post Doc in Ecole Polytechnique Fédérale de Lausanne (EPFL) on seasonal hydrological forecasts for hydropower production.
- 2017 Key Account Manager at EPFL Innovation Park
- 2018- Teacher and Researcher at IMT Mines Alès
Publications
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Towards a better consideration of rainfall and hydrological spatial features by a deep neural network model to improve flash floods forecasting: case study on the Gardon basin, FranceModeling Earth Systems and Environment, 2023, 9, pp.3693-3708. ⟨10.1007/s40808-022-01650-w⟩
Article dans une revue
hal-03935277v1
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Knowledge Extraction (KnoX) in Deep Learning: Application to the Gardon de Mialet Flash Floods ModellingITISE 2019 - International Conference on Time Series and Forecasting, Sep 2019, Granada, Spain
Communication dans un congrès
hal-02462501v1
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Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods ModelingTheory and Applications of Time Series Analysis - Selected Contributions from ITISE 2019, Springer International Publishing, pp.333-348, 2020, Contributions to Statistics, 978-3-030-56219-9. ⟨10.1007/978-3-030-56219-9_22⟩
Chapitre d'ouvrage
hal-03411377v1
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