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)
OceaniX-Melody Sandbox on Data Assimilation and Deep Learning, 10.00am-12.30pm ( more information)1. April 2020
New paper to be presented at ISPRS Congress on 4DVarNet and applications to satellite altimetry ( link)23. March 2020
Webinar on AI and Earth Observation from Space given by Dr. M. Spigai, March 26 1.30pm16. March 2020
Webinar on Computational Light-Field Imaging given by Dr. C. Guillemot, March 17 1.30pm9. March 2020
PhD defense Said Ouala on Deep learning and geophysical dynamics, March 17 2.30pm (zoom link)9. March 2020
Webinar on Computational Brain Imaging given by Dr. P.-L. Bazin, March 9 1.30pm (zoom link)10. February 2020
New papers to be presented at IEEE Icassp'2020 on Deep learning, variational modeling and sea surface dynamics. (here)12. February 2020
New paper published in IEEE Trans. on ITS on Deep learning for GeotrackNet (here)12. February 2020
Oceanix sandbox Maxime's talk on SPDE, conditional simulations ad Deep Learning (here).