Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams Not Involved in an Inria International Labs

  • Title: Data-driven simulations for Space Weather predictions

  • International Partner: CWI (Netherlands) – Multiscale Dynamics Group – Enrico Camporeale

  • Start year: 2017

  • We propose an innovative approach to Space Weather modeling: the synergetic use of state-of-the-art simulations with Machine Learning and Data Assimilation techniques, in order to adjust for errors due to non-modeled physical processes, and parameter uncertainties. We envision a truly multidisciplinary collaboration between experts in Computational Science and Data assimilation techniques on one side (CWI), and experts in Machine Learning and Data Mining on the other (Inria). Our research objective is to realistically tackle long-term Space Weather forecasting, which would represent a giant leap in the field. This proposal is extremely timely, since the huge amount of (freely available) space missions data has not yet been systematically exploited in the current computational methods for Space Weather. Thus, we believe that this work will result in cutting-edge results and will open further research topics in space Weather and Computational Plasma Physics.

Inria International Partners

Declared Inria International Partners
  • Isabelle Guyon partner of Google Zurich Preparation of a competition AutoDL: Automatic Deep Learning.

Informal International Partners
  • Marc Schoenauer partner of the ARC-DP (Australian Research Council Discovery Project) Bio-inspired computing methods for dynamically changing environments. Coordinator: University of Adelaide (Frank Neumann), 5 years from Nov. 2015, 400 k$-AUS. Visit to Adelaide: 2 weeks in Feb. 2017. Paper in preparation.

  • Isabelle Guyon partner of UC Berkeley Fingerprint verification with deep siamese neural networks using ultratonic sensor data. Co-advisor of a master student (Baiyu Chen). Partners: Alyosha Efros, Bernhard Boser.