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Dr. François Lavoué

Flavoue

Name: François Lavoué

Title: Postdoctoral researcher

E-Mail: lavouef-at-cp.dias.ie and francois.lavoue@ens-lyon.org

Related Links : www.researchgate.net/profile/Francois_Lavoue

Qualifications

François Lavoué got his B.Sc. in Geosciences from the Ecole Normale Supérieure de Lyon (France) in 2008 and a M.Sc. in Geophysics from the Institut de Physique du Globe de Paris in 2010. He then graduated from University of Grenoble in 2014 with a PhD under the supervision of Profs S. Garambois and J. Virieux. In 2015, he visited Colorado School of Mines (USA) for a first postdoctoral project before joining the DIAS Geophysics Section in 2016, under the supervision of Prof. Sergei Lebedev. He is now a postdoctoral fellow at Colorado School of Mines under the supervision of Prof. Ebru Bozdag, while still interacting with DIAS.

Research Interests

Geophysical quantitative imaging, waveform inversion, seismology, hydrogeophysics.

François’ research concerns the quantitative imaging of the Earth’s subsurface, using in particular seismic and electromagnetic waveforms inversions, with applications at various scales: from the shallow subsurface (hydrogeophysics) to basin and upper mantle imaging (seismology).

Keywords: geophysical inverse problems, quantitative imaging, full waveform inversion, numerical modelling and optimisation, computational seismology and electromagnetics.

Selected Publications

F. Lavoué, R. Brossier, L. Métivier, S. Garambois, and J. Virieux. Frequency-domain modelling and inversion of electromagnetic data for 2D permittivity and conductivity imaging: An application to the Institut Fresnel experimental dataset. Near Surface Geophysics, 13(3):227-241, 2015. Link

F. Lavoué, R. Brossier, L. Métivier, S. Garambois, and J. Virieux. Two-dimensional permittivity and conductivity imaging by full waveform inversion of multioffset GPR data: a frequency-domain quasi-Newton approach. Geophysical Journal International, 197(1):248-268, 2014.  Link

F. Lavoué. 2D Full waveform inversion of ground penetrating radar data: Towards multiparameter imaging from surface data. PhD thesis, University of Grenoble, 2014.  Link

F. Lavoué, J. van der Kruk, J. Rings, F. André, D. Moghadas, J. A. Huisman, S. Lambot, L. Weihermüller, J. Vanderborght and H. Vereecken. Electromagnetic induction calibration using apparent electrical conductivity modelling based on electrical resistivity tomography. Near Surface Geophysics, 8(6):553-561, 2010. Link