Feng Kang Distinguished Lecture 2018

Emmanuel Candès , a professor of mathematics, statistics at Stanford University.

Candès' research concerned nonlinear approximation theory, and computational harmonic analyis where he has made fundament-
al contributions to image processing, compressed sensing and phase retrieval. 
In 2001 Candès received an Alfred P. Sloan Research Fellowship. He was awarded the James H. Wilkinson Prize in Numerical Analysis and Scientific Computing in 2005. In 2006, he received the Vasil A. Popov Prize as well as the National Science Foundation's highest honor: the Alan T. Waterman Award. In 2010 Candès and Terence Tao were awarded the George Pólya Prize. In 2011, Candès was awarded the ICIAM Collatz Prize. In 2012 Candès has received the Lagrange Prize in Continuous Optimization, awarded by the Mathematical Optimization Society (MOS) and the Society for Industrial and Applied Mathematics (SIAM). He was presented with the Dannie Heineman Prize by the Academy of Sciences at Göttingen in 2013. In 2014 he was elected to the National Academy of Sciences. In 2015 he received the George David Birkhoff Prize of the AMS / SIAM. He is also a fellow of SIAM. In 2017 Candès received the MacArthur Fellowship for exploring the limits of signal recovery and matrix completion from incomplete data sets with implications for high-impact applications in multiple fields. He was elected to the 2018 class of fellows of the American Mathematical Society. (cf.https://en.wikipedia.org/wiki/Emmanuel_Cand%C3%A8s#cite_note-10)

Public Lecture: Sailing Through Data: Discoveries and Mirages
Time: 16:00-17:00, October 22, 2018
Venue: Meeting Room N204 of the Academy of Mathematics and Systems Science, Chinese Academy of Sciences


Academic Lecture: Is Non-convex Optimization Really Hard? A Couple of Recent Stories
Time: 10:00-11:00, October 24, 2018
Venue: Meeting Room N204 of the Academy of Mathematics and Systems Science, Chinese Academy of Sciences             
Feng Kang Distinguished Lecture 2017
Feng Kang Distinguished Lecture 2016
Feng Kang Distinguished Lecture 2015
Feng Kang Distinguished Lecture 2014
Feng Kang Distinguished Lecture 2013
Feng Kang Distinguished Lecture 2012
Feng Kang Distinguished Lecture 2011
Feng Kang Distinguished Lecture 2010

Feng Kang Distinguished Lecture 2009


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