The LENA team will bring together researchers in fields as diverse as signal and image processing, machine learning and astrophysics. It is composed of the following members:
Permanent researchers:
Jérôme Bobin – PI
Sandrine Pires – Signal processing/Astrophysics
PhD students:
Aurore Blelly (in co-supervision with Hervé Moutarde) – Signal processing and application to LISA
Remi Carloni – Component separation and radio-astronomy
Paul Malfrait – Signal processing and gamma spectrometry
Post-Docs:
Isabella Carucci – Astrophysics / Radio-interferometry-EoR
Interns:
Kouamé Yao – Learning and application to LISA
Deyvi Zuniga-Vilgapoma – Manifold learning and applications in imaging
Former members:
Cécile Chenot – Signal processing – Now at Thales
Matthieu Bovery – Machine learning
Imane El-Hamzaoui – Component separation – now
Joana Frontera-Pons / Learning and applications
Christophe Kervazo – now at Telecom ParisTech
Melis Irfan – Astrophysics / Analysis of the Planck data – now at Cape Town University
Hugo Lebeau – Signal processing and applications to neutronic imaging
Tobias Liaudat – Matrix factorization – now at CEA
Arnau Pujol – Astrophysics / Machine learning in Euclid – now at Univ. Barcelona
Florent Sureau – now at SHFJ – CEA Saclay
Yarui Zhang – Machine learning – now at Supelec
Christophe Kervazo – Machine Learning – now at Univ. Mons
Jiaxin Xu – Matrix factorization and applications
Collaborators:
Antoine Drouart
Hervé Moutarde
Julien Fade
Fabio Acero
Adrien Picquenot
Ming Jiang
Anne de Vismes Ott
Christophe Bobin
M-A Mivilles-Deschenes
Isabelle Grenier
Cheick Thiam