# Research Interests

1. Compressed sensing

2. Numerical optimization

3. Seismic imaging

4. High dynamic range (HDR) image and video coding

5. Scalable video compression (SVC) and transmission

6. Stereo imaging

My research interests include the analysis, development, and application of sparse signal reconstruction algorithms for distorted and compressively sampled image and video signals which share common support bases. In particular, I am interested in the development of convex relaxations for the recovery of jointly sparse signals, such as the color spaces in images and the temporally dependent frames in video signals.

My PhD research was focused on the compression, modeling, and transmission of scalable video content (SVC). Topics covered multi-user wireless video transmission, backward-compatible high dynamic range (HDR) video compression, and generation of HDR content from multiple exposure low dynamic range (LDR) content.

February 8, 2013: I will be joining the Multimedia Group of Mitsubishi Electric Research Laboratories on March 1st, 2013.

August 15, 2012: Talk motivating and describing the WSPGL1 algorithm is now available from here.

June 4, 2012: The WSPGL1 code is now available for download. [code page]

# Invited Talks

"Beyond $\ell_1$ minimization for sparse signal recovery," Alberta - BC Meeting on Applied Harmonic Analysis, Vancouver, BC, August 2012. [pdf]

"Weighted $\ell_1$ minimization: support recovery guarantees and an iterative algorithm," Applied Harmonic Analysis and Multiscale Computing (AHAMC), Edmonton, Alberta, July 2011. [pdf]

"Weighted $\ell_1$ minimization: Stability, robustness, and some implications," Banff Workshop on Sparse and Low Rank Approximation, Banff - Alberta, March 2011. [pdf]

"Recovery of Compressively Sampled Signals Using Partial Support Information," Canadian Mathematical Society Winter Meeting, Vancouver - BC, December 2010. [pdf]
*I gave extended versions of this talk at Simon Fraser University in November 2010 and Caltech in October 2010. [pdf]