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)
New paper lead by S. Ouala on online learning in Communications Physics. Link here.
30. September 20244-day workshop on Deep Differentiable Emulators in EDITO Model Lab project, Grenoble. .
24. September 2024Talk by R. Fablet at the NEMFC-MOi workshop on ocean forecasting in Chengdu. .
23. September 2024Talk by R. Fablet at CAS Institute of Oceanology, Qingdao. .
19. September 2024New paper of T. Picard in Ocean Science on the neural prediction of particle catchment areas of deep-ocean sediment traps. Link here.
4. September 2024PhD defense of R. Marcille on short-term neural metocean forecasting for offshore wind farms. .
29. August 2024New paper on vessel trajectory forecasting by G. Spadon published in Ocean Engineering. .
28. July 2024New paper on trends in satellite Chl products by E. Pauthenet published in GRL. Link here.
7-12. July 2024Presentation of our work on neural mapping of sea surface turbidity at IEEE IGARSS, Athens. .