Welcome to AI Chair OceaniX

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)


7. May 2022

New PhD and postdoc positions See here.

29. April 2022

OceaniX sandbox by Q. Febvre. on the joint mapping and calibration of altimetry data.

20. April 2022

OceaniX webinar by. N. Thome. on physics-informed learning.

16. March 2022

OceaniX Webinar by Peter Dueben. on Machine Learning for Weather and Predictions.

15. March 2022

Two new papers on DL and Seabird movement ecology ( MEE and PLOS Comp. Biol. ).

11. March 2022

OceaniX sandbox by E. Pauthenet. on Temperature, salinity and mixed layer depth in the Gulf Stream, reconstructed from remote sensing and in situ observations with neural networks.

1. March 2022

A new paper on DL for the segmentation of metocean patterns in SAR images. ( Rem. Sens.) .

25. February 2022

OceaniX sandbox by C. Granero Belinchon. on the interest of high order statistics when characterizing non-linear systems.

16. February 2022

OceaniX Webinar by Nicolas Courty. on Optimal Transport for Graph processing.

... see all News