Laure Blanc-Féraud facts for kids
Laure Blanc-Féraud was born on August 27, 1963, in France. She is a French scientist who works with applied mathematics and image processing. Her special focus is on creating 3D images for medical imaging, which helps doctors see inside the body.
She is a top scientist at the French National Centre for Scientific Research (CNRS). This is a big research organization in France. She also works with the Laboratory of Computer Science, Signals, and Systems at Côte d'Azur University.
Becoming a Scientist: Education and Career
Laure Blanc-Féraud studied a lot to become a scientist. In 1986, she earned a master's degree from Paris Dauphine University. Then, in 1989, she completed her Ph.D. at the University of Nice Sophia Antipolis. A Ph.D. is a very high university degree that shows you are an expert in your field. She also earned a special qualification called a "habilitation" there in 2000.
Before joining the CNRS, she worked for a short time in a company from 1989 to 1990. There, she worked on sonar, which uses sound waves to detect objects underwater. In 1990, she started her research career at the CNRS, where she has been ever since.
Awards and Special Recognition
Laure Blanc-Féraud has received many important awards for her work.
In 2011, she was made a knight of the Ordre national du Mérite. This is a special award given by the French government to people who have done great things for the country. She also became a knight of the Legion of Honour in 2015, which is another very high French award.
In 2013, she won the Prix Michel-Monpetit from the French Academy of Sciences. This award recognizes important work in computer science and applied mathematics.
She was also chosen to be a chair holder at the French national Artificial Intelligence Interdisciplinary Institute (3IA) in 2019. This means she leads important research in the field of artificial intelligence.
In 2022, Laure Blanc-Féraud was named an IEEE Fellow. This is a very respected title given by the Institute of Electrical and Electronics Engineers. She received it for her important contributions to solving "inverse problems" in image processing. This means she helps create clear images from incomplete or noisy data.
