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Emmanuel Candes - Computer Scientist
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Emmanuel Candes

description Emmanuel Candes Overview

Emmanuel Candès is a French-American mathematician at Stanford University, where he holds the Barnum-Simons Chair in Mathematics and Statistics. In the mid-2000s, with Terence Tao and others, he co-developed compressed sensing theory, proving that sparse signals can be recovered from far fewer linear measurements than the Nyquist–Shannon sampling theorem would suggest. He has also contributed to matrix completion and phase retrieval. He is a MacArthur Fellow and a member of the National Academy of Sciences.

insights Ranking position

Emmanuel Candes ranks #64 of 185 in the Computer Scientist ranking, behind Jon Kleinberg, ahead of Gordon Bell.

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What is compressed sensing and who developed it?

Compressed sensing was co-developed by Emmanuel Candès, David Donoho, and Terence Tao in the mid-2000s. The theory shows that sparse signals can be recovered from far fewer measurements than the Nyquist-Shannon sampling theorem requires, by solving an l1-minimization problem.

What real-world applications does compressed sensing enable?

Compressed sensing is used in MRI imaging, where it reduces scan time by acquiring fewer measurements while still reconstructing high-quality images. It is also applied in single-pixel cameras, astronomical imaging, and radar systems where data acquisition is expensive or time-consuming.

Where does Emmanuel Candes work?

Emmanuel Candes is the Barnum-Simons Chair in Mathematics and Statistics at Stanford University. He previously held positions at Caltech before moving to Stanford.

What awards has Emmanuel Candes received?

Candes received the MacArthur Fellowship in 2006, the Alan T. Waterman Award from the National Science Foundation, and the George Pólya Prize. He was elected to the National Academy of Sciences and the American Academy of Arts and Sciences for his work on compressed sensing and harmonic analysis.

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