Gloaguen Erwan
Environnement
Institut national de la recherche scientifique
Canada
Biography
Professor Gloaguen has been a researcher in the Department of Civil, Geological and Mining Engineering at the École Polytechnique de Montréal, Research Associate in the Department of Atmospheric Sciences and Ocean at Princeton University and Research Associate at Department of Mining, Metallurgy and Materials Engineering, McGill University. You can find more info on his personal page . University education M.Sc. Applied Geophysics and Geostatistics, École Polytechnique de Montréal Ph.D. Applied Geophysics and Geostatistics, École Polytechnique de Montréal
Research Interest
Professor Gloaguen's work focuses on the integration of geophysical and hydrogeological methods in the context of shallow environmental or geotechnical applications. In particular, he is interested in: integration of geophysical data with each other; integration of geophysical data with hydrogeological data in order to determine the hydrogeological properties of soils; the validation of hydrogeophysical models by flow simulators and the quantification of the uncertainty associated with the model
Publications
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Caté, Antoine; Perozzi, Lorenzo; Gloaguen, Erwan et Blouin, Martin (2017). Machine learning as a tool for geologists. The Leading Edge, 36 (3) : 215-219.
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Bouchedda, Abderrezak; Giroux, Bernard et Gloaguen, Erwan (2017). Constrained ERT bayesian inversion using inverse Matérn covariance matrix. Geophysics, 82 (3) : E129-E141.
