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  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

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Section: Partnerships and Cooperations

International Initiatives


  • Title: Optimal inference in Complex and Turbulent data

  • International Partner (Institution - Laboratory - Researcher):

    • IITR (India) - Dept. Of Electrical Engineering - Dharmendra Singh

  • Start year: 2014

  • See also:

  • The OptIC associated team targets the extension and development of a strong collaboration between Inria GEOSTAT team and INDIAN INSTITUTE OF TECHNOLOGY ROORKEE Dept of Electronics and Computer Engineering (Prof. D. Singh's group) on non-linear Signal Processing for Universe Sciences, with a strong emphasis on data fusion in Earth Observation and monitoring. Non-linear Physics puts strong evidence of the fundamental role played by multiscale hierarchies in complex and turbulent data: in these data, the information content is statistically localized in geometrical arrangements in the signal's domain, while such geometrical organization is not attainable by classical methods in linear signal processing. This is one of the major drawbacks in the classical analysis of complex and turbulent signals. The goal of this associated team is to show that inference of physical variables along the scales of complex and turbulent signals can be performed through optimal multiresolution analysis performed on non-linear features and data extracted from the signals, resulting in novel and powerful approaches for data fusion between different acquisitions (in temporal/spatial/spectral resolutions). This program needs both strong expertise in the physical processes beyond the acquisitions and the application of non-linear physics ideas on the behavior of the acquired physical phenomena. The proposal will focus on specific applications in Earth Observation and monitoring for which the Indian partner has developed a very strong expertise, notably in its knowledge and use of the physical processes in remote sensing acquisitions. This partnership is an extremely interesting and high potential collaboration between two teams which focus separately either on the acquisition of the physical processes or their analysis by Complex Systems and non-linear physics methodologies. The recent results obtained in super-resolution by GEOSTAT promises strong applications to a much wider range of Universe Sciences problems, notably with a strong emphasis on data fusion between the physical variables acquired on related but different acquisitions. OptiC builds on a collaboration between Inria and IIT ROORKEE teams, added with partners in Universe Sciences and earth observation (ONERA, CNRS) already involved in research actions with GEOSTAT.

Inria International Partners

Informal International Partners
  • Laboratory LRIT from Rabat University (K. Minaoui, D. Aboutajdine).

  • Czech Technical University in Prague (Jan Rusz).

  • Brno University of Technology (Jiri Mekyska).

  • University of Heidelberg (C. Garbe).

Participation in Other International Programs

Indo-French Center of Applied Mathematics

  • Title: Optimal Inference in complex and turbulent data

  • International Partner (Institution - Laboratory - Researcher):

    • Institutions: Inria and IIT Roorkee

  • Duration: 2013 - 2016

  • Start year: 2013

  • See above.

  • PHC-Toubkal

  • Title: Caractérisation multi-capteurs et suivi spatio-temporel de l'Upwelling sur la côte atlantique marocaine par imagerie satellitaire

  • International Partner (Institution - Laboratory - Researcher):

    • GEOSTAT.

    • CRTS (Centre Royal de Télédetection Spatiale), Rabat.

    • Faculté des sciences de Rabat.

    • Mercator-Océan.

  • Duration: from January 1st 2016 to 31 December 2018.

  • Start year: 2016.