We are a dynamic research group on Physics-Informed AI for Ocean Monitoring and Surveillance in the framework of the intedisciplinary Graduate school for the Blue planet (https://www.isblue.fr/fr/) in Brest, France.
Our general objective is to bridge model-driven paradigms underlying physical sciences and data-driven learning-based approaches at the core of AI to infer novel computationally-efficient and physically-sound representations of complex dynamical systems, that will provide new means for the understanding and monitoring of the oceans as well as the surveillance of maritime activities.
We are looking for passionate new PhD students, Postdocs, and Master students to join the team (more info) !
Contact: Prof. Ronan Fablet (OceaniX PI, webpage)
First demonstration of 4DVarNet over an ocean basin. Have a look at our animation ( link ). More to come soon.15. September 2021
OceaniX annual assembly will take place at the Pôle Numérique Brest Iroise. Come and meet us to know more on our research ( link )16. June 2021
OceaniX webinar by F. Linsten22. May 2021
OceaniX sandbox by F. Sevellec on Interannual Climate Prediction of Surface Atmospheric Temperature ( zoom link)19. May 2021
OceaniX Webinar by G. Camps-Valls on Physics-aware Interpretable Machine learning in the Earth sciences ( video)11. May 2021
New preprint on learning integration schemes for ODE simulation and identificatons ( arxiv paper)5. May 2021
OceaniX sandbox by S. Ouala on learning integration schemes for ODE simulation and identificatons ( video)16. April 2021
OceaniX Webinar by T. Sapsis on Extreme events in fluid flows and water waves ( video)9. April 2021
OceaniX-Melody Sandbox on Data Assimilation and Deep Learning, 10.00am-12.30pm ( more information)