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Theme 2

Knowledge and data representation Permanent staff Thierry Duval Charlotte Hoareau Ronan Querrec Scientific objectives Study how immersing users in a 3D visualization space enables them to better visualize and analyze data usually displayed in a 2D…

PhD programs

Matthieu Delahaye (2023-) "Explainable and unbiased artificial intelligence: towards an understanding and representation of urban security phenomena" Supervisors: Philippe Lenca, Lina Fahed & Florent Castagnino Recently, the deployment of AI models,…

Machine learning on massive bathymetric data for the optimization of hydrographic survey systems

Julian Le Deunf brilliantly defended his thesis "Machine learning on massive bathymetric data for the optimization of hydrographic survey systems" on Monday December 12, 2022. This work was carried out within the LUSSI department of IMT Atlantique an…

Drones

The laboratory is developing very strong expertise on research about drones and drone swarms. He has a broad spectrum of skills related to the challenges of developing systems based on the intensive use of drones, whether in the fields of design and …

MOSEM theme

Modeling and electromagnetic simulation are essential to help in the design of complex devices and systems both used for observations / Applications in near field but also in far field. Despite the rise of computers, the complexity of the problems to…

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M3

BEESAU Julie

SHAKER

FIXME

IA & Ocean

The objective of IA & Ocean is to develop the expertise and the national and international visibility of the lab-STICC at the interface between Artificial Intelligence and oceanic and maritime topics. This includes, taking into account the ocean as a…