Rick Chartrand
T-7 - Mathematical Modeling and Analysis - Los Alamos National Laboratory - 505-667-8093 - rickc@lanl.gov
Education
- B.Sc.(Hons.) Mathematics, University of Manitoba, 1993
- M.A. Mathematics, University of California, Berkeley, 1994
- Ph.D. Mathematics, University of California, Berkeley, 1999
Research Interests
Compressed sensing, inverse problems, image processing, novel forms of image reconstruction, geometric analysis, regularization using prior knowledge, image metrics and warping, modelling high-dimensional data, kernel methods and machine learning.
Research Highlights
- Exact reconstructions from surprisingly little data
- Numerical differentiation of noisy data
- Denoising images with Poisson noise statistics
- Detecting nuclear materials from muon-scattering data
- Abel inversion using total-variation regularization
- A simple algorithm for Monge-Kantorovich optimal transport
Publications
To Rick Chartrand's Publications