Dominique Béréziat
Machine learning for geosciences

• Nowcast of lightning strikes
• Forecast of ocean surface circulation
• Nowcast of rain precipitation
• Reconstruction of geophysic fields
• Learning physics from data

• Segmentation and tracking using 4D-Var
• Divergence-free motion estimation
• Motion estimation with 4D-Var on long time windows
• Motion estimation from dynamics errors
• Non linear motion estimation with 4D-Var
• Recover missing data from image sequence
• Data assimilation to solve ill-posed image problems

• Segmentation of coconuts from high resolution satellite images
• Characterization and classification of coconut fields

• 3D+t reconstructions from 3D image and 2D+t sequence
• Objects tracking using multi-modal and missing data
• Image processing on spherical surface

• Quentin André (supervision with Josef Wilczek) Détection et segmentation de sites archéologiques par apprentissage profond en l’ima- gerie aérienne et satellitaire multi-échelle, Phd student, started in October 2026.
• Aymeric Delefosse (supervision with Anastase Charantonis): Reducing incertainties in learned circulation models. Phd student, started in July 2025.
• Gabriela M. Balbontin (supervision with Stephano Ciavatta and Anastase Charantonis): Foundation model for seasonal biogeochemical forecasting. Phd student, started in March 2025.
• Pierre Garcia (supervision with Hannah Bull and Anastase Charatonis): Ocean data fusion for forecasting surface currents. PhD student, started in May 2024.
• Mélanie Bosc (supervision with Adrien Chan-Hon-Tong and Aurélie Bouchard): Prévision du risque orageux à l'aide de réseaux de neurones. PhD student, started in October 2023.
• Théo Archambault (supervision with Anastase Charantonis): Downscaling for oceanographic fluids. PhD graduate, defended on October 2024.
• Arthur Filoche (supervision with Julien Brajard): Learning missing dynamics for data assimilation. PhD graduate, defended on November 2022.
• Aniss Zebiri (supervision with Isabelle Herlin and Etienne Huot): Estimation of dynamics from multi scale image assimilation. Application to rain nowcasting from ground radar images. PhD graduate, defended on June 2020.
• Raimana Teina: Image analysis from remote sensing acquisition in the Polynesian context/. PhD graduate. Defended in September 2009.
• Yann Lepoittevin (supervision with Isabelle Herlin): Estimation of dynamics from observed structures in a sequence of images. PhD Graduate. Defended on December 2015.
• Abir El Abed (supervision with Séverine Dubuisson): Merging multi-modal data, application to visual tracking. Phd graduate. Defended in September 2008.
• Wafa Rekik (supervision with Séverine Dubuisson): Merging 2D+t and 3D data for recovering 3D+t data. Application to biological imaging. PhD graduate. Defended in February 2007.

• Loubar Hocine (2026)
• Dmitrii Drozdov (2025)
• Pierre Garcia (2023)
• Hugo Riffaud de Turckhein (2023)
• Jeehane Reboud (2022)
• Aris Benslama (2022)
• Vincent Bouget (2020)
• Elodie Noele (2019)
• Arthur Filoche (2019)
• Houssen Ben Braiek (2017)
• Haykel Snoussi (2015)
• Said Dayabzeg (2014)
• Marius Sokeng (2014)
• Yann Lepoittevin (2012)
• Jdey Imen (2009)
• Sahar Syassi (2009)
• Carlos Dantas De Almera (2008)
• Masnoush Amiri (2006)
• Olivier Mougin (2006)
• Frédéric Tchéou (2005)
• Teina Raimana (2005)
• Richard Moulen (2004)
• Wafa Rekik (2003)
• Issam Elhattab (2003)
• Kamel Haddadou (2002)
• Jacoppo Grazzini (2001)

ANCHORJOURNAL

ANCHORCONF

ANCHOROTHER