| Date: | March 6, 2019 |
| Time: | Noon |
| Location: | BLOC 628 |
| Speaker: | Dr. Brian Freno, Sandia |
| Title: | Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations |
| Abstract: | Joint with Industrial and Applied Mathematics Seminar |
|
| Date: | April 11, 2019 |
| Time: | 2:30pm |
| Location: | Blocker 628 |
| Speaker: | Dr. Leonid Kunyansky, University of Arizona |
| Title: | Sparsity-based techniques for hybrid imaging modalities with band-limited measurements |
| Abstract: | Several novel hybrid imaging modalities require generating
or measuring sound waves. Traditional image reconstruction techniques
assume that an infinitely wide range of acoustic wavelengths is available.
However, commonly utilized piezoelectric transducers emit/receive
only a narrow band of frequencies, with both very long and very short
wavelengths missing. This leads to a strong distortion of reconstructed
images. We will investigate the use of sparsity inducing techniques
such as the level set methods and L1-regularization to overcome this
problem. (Joint work with N.Do and P.Hoskins) |
|
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