Laure Blanc-Feraud elevated to the rank of Fellow of the Institute of Electrical and Electronics Engineers (IEEE)

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Published on March 10, 2022 Updated on March 10, 2022

on the March 10, 2022

Dr Laure Blanc-Feraud © Inria / Photo F. Bessière

Laure Blanc-Feraud, CNRS research director at the Sophia-Antipolis Computer, Signals and Systems Laboratory (I3S - CNRS/Université Côte d’Azur), member of the Morpheme team (Inria /I3S/ IBV), head of the Scientific Council of the Networks, Information and Digital Society Academy (RISE), and specialist in image processing applied to biology has just been elevated to the rank of IEEE Fellow for her numerous scientific contributions to the inverse problems in this field.

Following her doctoral thesis, defended in 1989, Laure Blanc-Féraud has focused her research on image processing, including the inverse problems of image reconstruction. From physical data, she seeks to reconstruct images by improving their resolution with the aim of overcoming the limits associated with acquisition techniques. To achieve this, she develops image models that take better account of the singularities and textures of their various components and associated optimization algorithms. She is also interested in the Bayesian modelling and learning techniques used for estimating model parameters. After focusing her research on satellite and aerial imagery for Earth observation, Laure Blanc-Féraud has been concentrating her applied studies since 2011 on 3D microscopy imaging in biology, mainly on super-resolution techniques and the characterization of extracellular matrices.

Very active within her community, Laure Blanc-Féraud has taken on many responsibilities: area editor for the IEEE journal Signal Processing, director of the Image field of the ISTE/Wiley Sciences encyclopedia, chair of the IEEE ISBI conference in 2021, etc. Laure Blanc-Féraud is also heavily involved at the local level, notably as head of the Scientific Committee of the RISE Academy and member of the Scientific and Pedagogical Committee of the DS4H Graduate School. Since 2019, she has coordinated the "Imaging for biology" chair of the Interdisciplinary Institute of Artificial Intelligence (3IA Côte d 'Azur).