Section: Other Grants and Activities
mistis got Ministry grants for two projects supported by the French National Research Agency (ANR):
MDCO (Masse de Données et Connaissances) program. This three-year project is called "Visualisation et analyse d'images hyperspectrales multidimensionnelles en Astrophysique" (VAHINE). It aims at developing physical as well as mathematical models, algorithms, and software able to deal efficiently with hyperspectral multi-angle data but also with any other kind of large hyperspectral dataset (astronomical or experimental). It involves the Observatoire de la Côte d'Azur (Nice), and several universities (Strasbourg I and Grenoble I). For more information please visit the associated web site: http://mistis.inrialpes.fr/vahine/dokuwiki/doku.php .
VMC (Vulnérabilité : Milieux et climats) program. This three-year project is called "Forecast and projection in climate scenario of Mediterranean intense events: Uncertainties and Propagation on environment" (MEDUP) and deals with the quantification and identification of sources of uncertainties associated with the forecast and climate projection for Mediterranean high-impact weather events. The propagation of these uncertainties on the environment is also considered, as well as how they may combine with the intrinsic uncertainties of the vulnerability and risk analysis methods. It involves Météo-France and several universities (Paris VI, Grenoble I and Toulouse III). ( http://www.cnrm.meteo.fr/medup/ ).
mistis is also involved into two projects in the Cooperative Research Initiative (ARC) program supported by INRIA:
The ChromoNet project is coordinated by Marie-France Sagot from team HELIX. It aims at the computational inference and analysis of inter-chromosomal interaction networks. The additional partners are the SSB (Statistiques des Séquences Biologiques) group at INRA and the Nuclear Organisation team at MRC, Imperial College London.
The SeLMIC project ( http://r2-d2.ujf-grenoble.fr/selmic/doku.php ) is coordinated by Florence Forbes and aims at developping new statistical methods for the segmentation of multidimensional MR sequences corresponding to different types of MRI modalities and longitudinal data. The applications include the detection of brain abnormalities and more specifically strokes and Multiple Sclerosis lesions. The partners involved are team VisAGeS from INRIA Rennes, the INSERM Unit U594 (Grenoble Institute of Neuroscience) and LIG.