In charge of this topic

Chengfang Ren
CV

chengfang.ren(at)centralesupelec.fr

New concept & Signal Processing: to develop new efficient and robust processing algorithms in radar applications. Research mainly focused on statistical signal processing and machine learning theories for robust estimation, detection, classification and clustering, consists in developing novel methodologies based on model-driven and data-driven both approaches for enhancing performances of Radar and Hyperspectral Image processing with applications to STAP, MIMO radar, SAR and change detection.

THE TEAM

Chengfang REN
CV

chengfang.ren(at)centralesupelec.fr

Jean-Philippe OVARLEZ
CV

jeanphilippe.ovarlez(at)centralesupelec.fr

jean-philippe.ovarlez(at)onera.fr

Israel HINOSTROZA
CV

israel.hinostroza(at)centralesupelec.fr

Thierry LETERTRE
CV

thierry.letertre(at)centralesupelec.fr

CURRENT PHD STUDENTS

Bruno MERIAUX
Thesis : Contributions aux traitements adaptatifs robustes pour les systèmes multi-capteurs
CV

bruno.meriaux(at)centralesupelec.fr

Jose Augustin BARRACHINA
Thesis : Complex Valued Deep Neural Networks for Radar Applications
CV

jose-agustin.barrachina(at)centralesupelec.fr

Antoine COLLAS
Thesis : Robust Clustering for Satellite Image Time Series
CV

antoine.collas(at)centralesupelec.fr

Cyprien DOZ
Thesis : Spectral clustering Based Methods for Unsupervised Classification in Radar Imaging Applications
CV

cyprien.doz(at)centralesupelec.fr

FORMER PHD STUDENTS

Alice Combernoux
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Chong Chin Yuan
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Mélanie Mahot
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Joana Frontera-Pons
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Ahmad Bitar
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Pierre Formont
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Eugénie Terreaux
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Uyhour Tan
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Ammar Mian
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Jorge Prendes
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