Cornelia Vacar

Cornelia Vacar is a Senior Research Engineer at CEA, with experience in image processing and texture modeling using Bayesian approaches. Prior roles include Applications Engineer at FEI Visualization Sciences Group, where expertise in various image processing applications was developed, and PhD Candidate at Université de Bordeaux, focusing on image processing techniques like deconvolution and segmentation for blurred-noisy data. Additional experience encompasses research at ADERA - IMS, where work on motion estimation algorithms took place, as well as a brief time as a Visiting Scholar at Ecole Polytechnique Montreal. Cornelia Vacar holds a Ph.D. in Image Processing and a Master's degree in Signal and Image Processing from Université de Bordeaux, complemented by a Bachelor of Science in Electrical, Electronics and Communications Engineering from Universitatea Tehnică din Cluj-Napoca.