Radu STOICA
4 rue Ste. Reparate
06300 Nice - France
tel: +33 4 93929156 (pers.), +33 4 92387568 (office)
e-mail: Radu.Stoica@inria.fr
web: http://www.inria.fr/ariana/personnel/Radu.Stoica/index-eng.html

27 years old
Nationality : Romanian
Status : single



\fbox{{\bf\Large PhD student in Image Processing }}


Education

Oct. 1997 - Dec. 2000 - PhD studies in image processing with Ariana Research Group at INRIA Sophia Antipolis, France.
Sep. 1996 - Oct. 1997 - DEA (equivalent to Master of Sciences) Signals, Images and Communication, ENSEEIHT (Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Hydraulique et d'Informatique de Toulouse).
Sep. 1996 - June 1997 - Engineering degree in Signal and Image Processing, ENSEEIHT (Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Hydraulique et d'Informatique de Toulouse).
Sep. 1991 - June 1996 - Engineering degree in Electronics and Telecommunications, University "POLITEHNNICA" of Bucharest.
Mar. 1993 - June 1995 - several semesters at ESIEE Paris (Ecole Supérieure d'Ingénieurs en Electrotechnique et Electronique) with TEMPUS student exchange program.


Experience

$\quad \bullet \quad$ PhD Subject : extracting thin road networks in remote sensed images using a probabilistic approach (stochastic geometry, Markov point process, Candy model, MCMC dynamics, stochastic optimization techniques, ...).
 
 
$\quad \bullet \quad$ INRIA Sophia Antipolis : unsupervized segmentation and indexing of textures using parametric models(Wold 2D model, Markov Random Fields, Kullback distance). Cooperation with the BEN-GURION University (Israel).
 
 
$\quad \bullet \quad$ University "POLITEHNICA" : multiresolution segmentation of industrial textures using wavelets.
 
 
$\quad \bullet \quad$ ESIEE Paris : study of speech signal parametric models and voice transformation.


Skills

Languages : english (fluent), romanian/french (bilingual).

Computer : C++, Matlab, Unix, Windows, DOS.

Mathematics : stochastic geometry, point processes, stochastic optimization, MCMC methods.

Image processing : inverse problems, segmentation and classification models, regularization, pattern recognition, probabilistic modeling.

Signal processing : statistical signal processing, estimation and detection, parametric modeling, filtering, transforms.

Passtimes : reading ( literature ), music, ecology.