I am working within GIPSAlab , in collaboration with PierreOlivier AMBLARD , Ladan AMINI, Marco CONGEDO, Cedric GOUYPAILLER, Christian JUTTEN, Bertrand RIVET and Marc SATO .
Now, I am leading my research on the characterization of connectivity between regions of the brain. Important issues arise from this problem, both in statistics and signal processing.
From Magnetic Resonance Imaging, we get 90 time series that represent the hemodynamic response for each of the 90 regions in the brain. The objective is then to quantify the correlation between each region and to construct short and long range dependence. But, it is wellknown that estimation of correlation between time series is very complex, especially when there is no straightforward modelling of the time series. That is why, the use of wavelets decomposition allows to get a timescale representation of each process. This new decomposition leads to a characterization of high and low frequency phenomena. I started to work on this project during a postdoctoral position in the Brain Mapping Unit within the University of Cambridge . This work was done in collaboration with Ed BULLMORE, Danielle BASSETT , Raymond SALVADOR, Brandon WHITCHER , Alle Meije WINK

I have completed my PhD thesis in Laboratoire de Modélisation et de Calcul and in the University of Joseph Fourier Grenoble, France.
I was working under a joint direction by DinhTuan PHAM and Christian JUTTEN.
Some simulations in blind source separation.
Grenoble Images Parole Signal Automatique laboratoire
UMR 5216 CNRS  Grenoble INP  Université Joseph Fourier  Université Stendhal