The GAIA research group develops methodological tools for the modeling, analysis and understanding of structured, numerous and/or large data based on information theory, statistical learning and geometry. Our aim is to design efficient algorithms for high-dimensional inference, allowing their controlled and efficient use in many applications.

 

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Photo du groupe en nov. 2023

Picture of the band in Novembre 2023

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Pôle GAIA - photo de groupe (Novembre 2021)

Picture of the band in November 2021

 

Faculties

Nom Prénom Thèmes de recherche
AMBLARD Pierre-Olivier Statistical signal processing, application in physics
ATTALI Dominique Computation geometry, geometry processing, shape reconstruction, meshing, Delaunay
AYASSO Hacheme Bayesian inference for inverse problems applied for medical and physical signals.
BARTHELME Simon Theoretical & computational statistics, kernel methods, point processes
BECQ Guillaume Signal and image processing, applications in neurosciences and biomedical engineering
BROSSIER Jean-Marc Statistical signal processing, digital communications
CAYRE François Multimedia security, algorithmic information theory
CHATALIC Antoine Statistical machine learning, large-scale kernel methods, sketching, differential privacy 
CHATELAIN Florent Estimation/detection problems and large-scale applications
COMON Pierre Data science: Multivariate statistics, Blind techniques, Tensors
DESVIGNES Michel Image processing, machine learning, medical applications
GEROT Cédric Geometric modeling, subdivision, wavelets
LE BIHAN Nicolas Multivariate statistical signal processing, statistics on groups and manifolds, polarized signals analysis
LE GUENNEC Yannis Digital communications, optical/radio communication systems
MICHEL Olivier Statistical signal processing, Applications in physics, Machine learning
MOISAN Eric Statistical image processing  
MONTANVERT Annick Image processing, digital geometry
ROS Laurent Statistical signal processing, digital communications
SICLET Cyrille Digital communications, multicarrier communications, filterbanks
SIVIGNON Isabelle Digital and computational geometry, combinatorial games, graphs
TREMBLAY Nicolas Graph signal processing, Statistical machine learning, Point processes
ZOZOR Steeve Information Theory (classical and quantum), Statistical signal processing, applications in physics

PhD candidates and Postdocs

Nom Prénom Encadrants
BARATIN Clarissa Guillaume BECQ, Julien BASTIN (GIN)
BENDJEDDOU Imadeddine Yannis LE GUENNEC,  Sylvain BOURDEL Sylvain (RFIC), Emmanuel  PISTONO (IMEP-LAHC)
CASCALES Clément Simon BARTHELME, Florent CHATELAIN
CHANCEL Matthieu Hacheme AYASSO, Michel DESVIGNES
CHATELAIN Lucas Nicolas TREMBLAY, Aurélien GOURRIER (ESRF), David ROUSSEAU ()
CONSTANTIN Alexandre Olivier MICHEL
CORDONNIER Matthieu Nicolas TREMBLAY, Nicolas KERIVEN  (IRISA), Samuel VAITER (JAD Nice)
CROS Colin Pierre-Olivier AMBLARD, Christophe PRIEUR (pôle PAD)
DERENTY-CAMENEN Gauthier Steeve ZOZOR, Laure-Line ROUVE (G2eLab), Olivier CHADEBEC (G2eLab)
EL BADAOUI Sultan Yannis LE GUENNEC
GALLIOT Florian Isabelle SIVIGNON, Sylvain GRAVIER (IF)
GHANEM Hashem Nicolas KERIVEN  (IRISA)
GJORGJEVSKI Martin Simon BARTHELME, Nicolas KERIVEN (IRISA), Yohann DE CASTRO (ICG Lyon)
JAQUARD Hugo Pierre-Olivier AMBLARD, Nicolas TREMBLAY, Simon BARTHELME
JOURNE Sébastien Nicolas LE BIHAN, Florent CHATELAIN, Julien FLAMANT (CRAN)
LAURENT Nils Nicolas LE BIHAN, Florent BOUCHARD (L2S), Salem SAID (LJK)
LEBEAU Hugo Florent CHATELAIN, Romain COUILLET (LIG)
MIQUEU Paul Laurent ROS,  Jean-Marc BROSSIER, Fabrice BELVEZE (ST Micro)
NGUYEN Minh Toan Olivier MICHEL, Romain COUILLET (LIG)
NGUYEN Quang Hung Florent CHATELAIN, Benoit DELINCHANT (G2eLab)
PEYROU Martin Yannis LE GUENNEC, Frédéric GRILLOT (Telecom Paris), Sylvie MENEZO (Scintil Photonics)
SEJOURNE Charles Pierre COMON, Romain COUILLET (LIG)

 

Acronyme
GAIA