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Award / Prize
June 16, 2014
Grenoble - City center
The Jean Kuntzmann Prize, announced during the inaugural day of the LabEx PERSYVAL and the commemoration of Jean Kuntzmann's centenary, has its first recipient. Emmanuel Candès, professor at Stanford and holder of the Barnum-Simons Chair in Mathematics and Statistics, has done us the honor of accepting this prize.
The award ceremony will take place on Monday, June 16, 2014, at 6:30 PM in the auditorium of the Musée de Grenoble
We thank the City of Grenoble for hosting us on this occasion.
Several lectures
During his visit to Grenoble to receive his prize, and in addition to his lecture "Contemporary scientific challenges in the world of Big Data" on June 16 at the museum auditorium, Emmanuel Candès will give a series of lectures entitled "Some recent uses of convex programming in data sciences".
Three sessions are scheduled: Monday, June 16, Wednesday, June 18 from 10:30 AM to 11:45 AM, and Tuesday, June 17 from 3:00 PM to 4:15 PM, in room 1 of the LJK Irma tower.
Emmanuel Candès is also a speaker at the Lyon-Grenoble Statisticians Day (GLyS) on June 19.
About the Jean Kuntzmann Prize
Created in tribute to Professor Jean Kuntzmann, a pioneer in digital sciences who profoundly shaped the development of applied mathematics and computer science, this prize honors exceptional researchers or faculty members whose work in mathematics and computer science transcends disciplinary and thematic boundaries, reflecting a deep awareness of practical and societal applications.
Date
At 6:30 PM
Location
Grenoble - City center
Auditorium of the Musée de Grenoble
5 place Lavalette
38000 Grenoble
Biography
Emmanuel Candès, a graduate of École Polytechnique (l'X), earned his Ph.D. from Stanford University under the supervision of David Donoho. His research focused on the study of curvelets and ridgelets, a generalization of wavelets particularly well-suited for wave propagation and image processing.
Later, in collaboration with Terence Tao and Justin Romberg, he laid the foundations of compressed sensing, a method enabling the reconstruction of sparse signals from fewer data points than required by the Nyquist-Shannon sampling theorem. This result has had a tremendous impact on the signal processing community and its applications. His work has received widespread acclaim and numerous awards.
As a specialist in harmonic analysis, signal processing, statistics, optimization, scientific computing, inverse problems, image analysis, and information theory, Emmanuel Candès's topics of expertise will undoubtedly resonate strongly within our community. From this perspective, he is a truly emblematic laureate of the Kuntzmann spirit, and we are delighted that he has accepted this award and agreed to spend a week (the week of June 16) in Grenoble to connect with us. We hope to seize this opportunity and make his visit a great success!
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