Teaching

Time-frequency transforms, sampling theories, splines, wavelets and multiresolution analysis

2D signal processing, image filtering, compression and restoration techniques

A comprehensive short course series on the mathematical foundations of big data analytics, covering dimension reduction, concentration inequalities, randomized linear algebra, and inverse problems.