Worked on the SWOT mission, dedicated to the study of the world’s oceans and its terrestrial surface waters. Since 2019, has been working on the interactions between remote sensing data and natural language, introducing the task of Visual Question Answering for Remote Sensing (RSVQA). Published a new book chapter.
Research Experience
Currently an assistant professor (Maître de conférences) in Computer Science at Université Paris Cité, conducting research at the SIP team of the LIPADE laboratory and teaching at UFR de Mathématiques et Informatique. Previously, a postdoctoral researcher at Wageningen University & Research in the Laboratory of Geo-information Science and Remote Sensing.
Education
Obtained a PhD in image processing from Télécom Paris in 2017, in collaboration with CNES, and was awarded the best PhD award from Fondation Mines-Télécom.
Background
Research interests include methodological developments in image processing, particularly with applications to remote sensing imagery. This includes high-resolution optical images processing using deep learning techniques and change detection, classification, and regularization on multi-temporal series of SAR images using Markov Random Fields models. Additionally, works on the interactions between remote sensing data and natural language.