Raymond Honfu CHAN
Chair Professor of the Department of Mathematics and Vice-President of Student Affairs at City University of Hong Kong and a Co-Director of the Hong Kong Centre for Cerebro-Cardiovascular Health Engineering. Winner of the Feng Kang Prize and Morningside Award, SIAM Fellow and AMS Fellow.
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Date: 20 DECEMBER 2021 from 11:00 to 12:00
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Event location: aula Vitali - Math Dep / zoom link will be published on December 20 - In presence and online event
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Type: series "Seminars of Applied Mathematics"
The speaker will be remotely connected
Sparsity: The beauty of less is more
With advances in sensor technology, data has become ubiquitous. To make sense of the data we have to solve higher and higher dimensional problems that may seem intractable. However, many high-dimensional problems have solutions that live in low-dimensional space.
Sparsity is a way to exploit the low-dimensional structure of solutions to obtain feasible solutions for high-dimensional problems. In this talk, Professor Chan will introduce regularisation methods that enforce sparsity in solutions and their application to several image reconstruction problems, including single-molecule localisation microscopy and ground-based astronomy.
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A4
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Seminar registration
YouTube video
series "Seminars of Applied Mathematics"
This seminar series aims at providing a forum for exchanging ideas and presenting advances in the field of Applied Mathematics, Numerical Analysis and Real-World Problems.
The seminars will foster collaborations between international research groups in different scientific areas, so as to increase awareness of the wide range of applications of mathematics.
