Emmanuel Candès

Emmanuel Candès
Nationality French, American
Fields Statistician, Mathematician
Institutions Stanford University
California Institute of Technology
Alma mater Stanford University
École Polytechnique
Doctoral advisor David Donoho
Known for Wavelet theory, Curvelets, Compressive sensing
Notable awards

Alfred P. Sloan Research Fellowship (2001)
James H. Wilkinson Prize in Numerical Analysis and Scientific Computing (2005)
Alan T. Waterman Award (2006)
Vasil A. Popov Prize (2006)
George Pólya Prize (2010)

Collatz Prize (ICIAM) (2011)

Emmanuel Jean Candès is a professor of mathematics and statistics at Stanford University.

Contents

Academic biography

Candès earned a B.Sc. from the École Polytechnique in 1993.[1] He did his graduate studies at Stanford, where he earned a Ph.D. in statistics in 1998 under the supervision of David Donoho[1][2] and immediately joined the Stanford faculty as an assistant professor of statistics.[1] He moved to the California Institute of Technology in 2000,[1] where in 2006 he was named the Ronald and Maxine Linde Professor of Applied and Computational Mathematics. He returned to Stanford in 2009.

Research

Candès' early research concerned nonlinear approximation theory. In his Ph.D. thesis,[2] he developed generalizations of wavelets called curvelets and ridgelets that were able to capture higher order structures in signals. This work has had significant impact in image processing and multiscale analysis, and earned him the Popov prize in approximation theory in 2001.[3]

In 2004, Candès wrote a paper with Terence Tao[4] that kicked off the field of compressed sensing: the recovery of sparse signals from a few carefully constructed, and seemingly random measurements. Many researchers have since contributed to this field, which has brought us the idea of a camera that can record pictures while needing only one sensor,[5][6] and tools for designing distributed sensors that can communicate cheaply.

Awards and honors

In 2001 Candès received an Alfred P. Sloan Research Fellowship.[1] He was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing in 2005.[1] In 2006, he received the Vasil A. Popov Prize[3] as well as the National Science Foundation's highest honor: the Alan T. Waterman Award for research described by the NSF as "nothing short of revolutionary".[7] In 2010 Candès and Terence Tao were awarded the George Pólya Prize. In 2011 Candès was awarded the ICIAM Collatz Prize[8]

References

  1. ^ a b c d e f Speaker bio from NIPS 2008.
  2. ^ a b Emmanuel Jean Candes at the Mathematics Genealogy Project.,
  3. ^ a b The Vasil A. Popov Prize: Emmanuel Candes, 2001, Third Prize Recipient, Mathematics Department, University of South Carolina.
  4. ^ Tao, Terence; Candès, Emmanuel J. (2006), "Near-optimal signal recovery from random projections: universal encoding strategies?", IEEE Transactions on Information Theory 52 (12): 5406–5425, doi:10.1109/TIT.2006.885507, ftp://ftp.math.ucla.edu/pub/camreport/cam04-71.pdf .
  5. ^ Mackenzie, Dana (2009), "Compressed sensing makes every pixel count", What's Happening in the Mathematical Sciences, American Mathematical Society, pp. 114–127, ISBN 978-0-8218-4478-6, http://www.ams.org/happening-series/hap7-pixel.pdf .
  6. ^ Sullivan, Laurie (October 11, 2006), "Megapixel Images Created With One Pixel: The camera replaces the traditional digital pixel grid with an array of tiny micromirrors", InformationWeek, http://www.informationweek.com/news/personal_tech/showArticle.jhtml?articleID=193300073 .
  7. ^ Candes to Receive Waterman Award, American Mathematical Society, 2006.
  8. ^ ICIAM announces prizes for 2011, SIAM, 2010.

External links