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SUMMARY:Compressed Sensing: Examples\, Prehistory\, and Predictions
DTSTART:20121005T121500
DTEND:20121005T131500
DTSTAMP:20260408T025814Z
UID:b82071e316bacb8f9844f65a95b0feae6579ae29a7c1b4041aeda035
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. David Donoho\, Stanford University\nAbstract\nFrom 2004 
 to today\, the research topic "Compressed Sensing"  (CS) became popular i
 n applied mathematics\, signal processing\, and information theory\, and w
 as applied to fields  as distant as computational biology and astronomica
 l image processing. Some early papers have gained  thousands of citations
 .\nPart of the attraction is paradox: CS claims to correctly solve systems
  of equations with {\\it fewer} equations than unknowns. One success story
  for CS comes in pediatric magnetic resonance imaging\, where blind trials
  published in a flagship medical journal by Vansanawala\, Lustig et al. ga
 ve a 6X MRI speedup while maintaining diagnostic quality images. Concretel
 y\, children needed to sit still in an MRI machine for about 1 minute rath
 er than 8 minutes. The prehistory of CS goes back on a metaphoric level to
  coin-balance weighing puzzles known for millennia and more specifically t
 o convex geometry known for a hundred years\, and continues throughout the
  last century in several very different fields of research. Part of the sp
 ectacular recent interest\, is that several fields\, from information theo
 ry to high-dimensional geometry\, are convinced that they saw the key idea
 s first\, and that they know the best way to think about it. This talk wil
 l review  success stories\,  precursors\, and four modern ways of unders
 tanding the problem\, from four different disciplines.\n\nBiography\nDavid
  Leigh Donoho\, born on March 5\, 1957 in Los Angeles\, is a professor of 
 statistics at Stanford University\, where he is also the Anne T. and Rober
 t M. Bass Professor in the Humanities and Sciences. His work includes the 
 development of effective methods for the construction of low-dimensional r
 epresentations for high-dimensional data problems (multiscale geometric an
 alysis)\, developments of wavelets for denoising and compressed sensing.\n
 \nDonoho did his undergraduate studies at Princeton University\, graduatin
 g in 1978. His undergraduate thesis advisor was John W. Tukey. Donoho obta
 ined his Ph.D. from Harvard University in 1983\, under the supervision of 
 Peter Jost Huber. He was on the faculty of the University of California\, 
 Berkeley from 1984 to 1990 before moving to Stanford.\n\nIn 1991\, Donoho 
 was named a MacArthur Fellow. He was elected a Fellow of the American Acad
 emy of Arts and Sciences in 1992. He was the winner of the COPSS President
 s' Award in 1994. In 2001\, he won the John von Neumann Prize of the Socie
 ty for Industrial and Applied Mathematics. In 2002\, he was appointed to t
 he Bass professorship. He was elected a SIAM Fellow and a foreign associat
 e of the French Académie des sciences in 2009\, and in the same year rece
 ived an honorary doctorate from the University of Chicago. In 2010 he won 
 the Norbert Wiener Prize in Applied Mathematics\, given jointly by SIAM an
 d the American Mathematical Society. He is also a member of the United Sta
 tes National Academy of Science.
LOCATION:Forum Rolex http://plan.epfl.ch/?lang=fr&room=forum+rolex
STATUS:CONFIRMED
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