DLS: Image Processing and Computational MathematicsExport this event to calendar

Wednesday, October 7, 2015 — 3:30 PM EDT

Tony ChanTony Chan
President, The Hong Kong University of Science and Technology (HKUST)

Wednesday, October 7, 2015 • DC 1302 • 3:30 p.m.

Abstract: Image processing has traditionally been studied as a form of signal processing and a subfield of electrical engineering. Recently, with the advent of inexpensive and integrated image capturing devices, leading to massive data and novel applications, the field has seen tremendous growth. Within computational mathematics, image processing has emerged not only as an application domain where computational mathematics provide ideas and solutions, but also in spurring new research directions (a “new Computational Fluid Dynamics”) in geometry (Total Variation regularization and Level Set methods), optimization (primal-dual, Bregman and Augmented Lagrangian methods, L1 convexification), inverse problems (inpainting, compressive sensing), and graph algorithms (high-dimensional data analysis). This talk gives an overview of these developments.

Biography: Professor Tony F. Chan assumed the presidency of HKUST on September 1, 2009.

Professor Chan’s scientific background is in Mathematics, Computer Science and Engineering. He received his PhD in Computer Science from Stanford University. He taught at Yale University before joining UCLA as Professor of Mathematics in 1986. He was appointed Chair of the Department of Mathematics in 1997 and served as Dean of Physical Sciences from 2001 to 2006. From 2006 to 2009, Professor Chan was Assistant Director of the Mathematical and Physical Sciences Directorate at the U.S. National Science Foundation (NSF).

Professor Chan is an elected member of the US National Academy of Engineering (NAE), a senior member of the Institute of Electrical and Electronic Engineers (IEEE) and an elected fellow of both the Society for Industrial and Applied Mathematics (SIAM) and the American Association for the Advancement of Science. Professor Chan was one of the world’s most cited mathematicians.

Professor Chan is currently a member of the Board of Trustees of the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, President’s Advisory Council of the Korea Advanced Institute of Science and Technology (KAIST), Scientific Advisory Board of the University of Vienna, and the United States Committee of 100. Professor Chan is also a member of the Advisory Committee on Innovation and Technology of the Hong Kong Government. He was a member of the Selection Committee for the Shaw Prize in Mathematical Sciences in 2012 and 2013.

Did you miss Tony Chan's lecture or would you like to hear it again? If so, just start the video below.

Location 
DC - William G. Davis Computer Research Centre

200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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