I am always looking for talented undergraduate, graduate and postdoctoral researchers to join my group. If you are a prospective student or postdoc please take a look at my Research page to get an overview of the type of research my group does, as well as the list of recent projects below. If this work interests you, then please send me an email.
Here is a list of opportunities broken down by category:
None at this time. Please check back in Fall 2018.
Prospective MSc and PhD students who wish to work in my group need to apply to the SFU Mathematics graduate program. If you are considering applying please email me to discuss your application further. The application deadline is typically in January of each year.
MITACS Globalink: I normally advertise several projects in the MITACS Globalink Research Internship program. This program offers funding for 12-week summer research projects for senior undergraduate students. Please check out http://mitacs.ca/en/programs/globalink for details.
SFU USRA/VPR: I typically host several undergraduate projects as part of the USRA/VPR program (for students from both SFU and elsewhere). These are normally advertised in December of each year on the SFU Mathematics website.
Recent and Ongoing Student Projects
Deep Learning Techniques for Inverse Problems in Imaging
Stochastic Collocation Methods for Uncertainty Quantification of Physical Models
Topics in Compressed Sensing and Sparse Regularization
Compressed Sensing in Parallel Image Acquisition Systems
Numerical Methods for Parameter Assessment from Time-Dependent Magnetic Resonance Signals
Optimal Sampling Strategies for Compressive Imaging
Multivariate Function Interpolation with Compressed Sensing
Weighted Sparse Recovery with Corrupted Measurements
Frames and Numerical Approximations from Indirect Data
Sparsity-regularized Parallel Magnetic Resonance Imaging
Nonnegative Sparse Recovery and Compressive Imaging
Uncertainty Quantification with Corrupted Measurements
Recovery Guarantees for Practical Compressive Imaging Systems
Nonuniform Sampling and Efficient Compressed Sensing MRI
Phase Transitions in Weighted l1 Minimization
Interpolation Techniques for Overcoming the Gibbs Phenomenon
Parameter Selection and Numerical Approximation Properties of Fourier Extensions from Fixed Data