Below is a selection of some recent presentations. For the complete list, please see my CV.
Compressed sensing and application to uncertainty quantification
SIAM Conference on Uncertainty Quantification, Minitutorial, April 2016
Here is a preliminary bibliography for the papers mentioned in this tutorial: PolynomialCSBibliography
Compressed sensing with local structure: theory, applications and benefits, Information Theory Seminar, UBC, Vancouver, Oct 2015.
l1 minimization and function interpolation, Chinese Academy of Sciences, Beijing, China, Aug 2015.
Compressed sensing and imaging: the effect and benefits of local structure, Chinese Academy of Sciences, Beijing, China, Aug 2015.
An introduction to compressed sensing, Chinese Academy of Sciences, Beijing, China, Aug 2015.
Infinite-dimensional compressed sensing, Royal Society International Scientific Seminar, Chicheley Hall, UK, Jun 2014.
Getting even more from less: structure-exploiting sampling strategies for compressive imaging, ICCHA5, Vanderbilt University, Nashville, May 2014.
Beyond incoherence and beyond sparsity: compressed sensing in the real world, SIAM IS14, Hong Kong Baptist University, May 2014.
Nonuniform sampling of multivariate functions using derivatives, GMIG Annual Project Review Meeting, Chicago, April 2014.
Getting even more from less: A new framework for compressed sensing, Duke University, February 2014.
Fast, stable and accurate approximations with Fourier extensions, University of New Hampshire, February 2013.