Sahand Negahban

Sahand Negahban


sahand_n ||at|| eecs {{dot}} berkeley {{dot}} edu
EECS Department
University of California, Berkeley
264 Cory Hall
Berkeley, CA 94720


About me

I am a fourth year graduate student working in Wireless Foundations at the University of California, Berkeley. My adviser is Professor Martin Wainwright. On May 2006, I received my B.S. in Electrical Engineering and Computer Sciences from Cal. As an undergraduate I did research involving neuroscience and system-identification of time-varying linear systems under the advisement of Professor Michael Gastpar.

Research Focus

I am interested in signal processing, information theory, and statistical learning theory. Particularly in the statistical and computational challenges in finding good solutions to high-dimensional problems.

Publications


Reading Group

We have a reading group that meets once a week and discusses various papers involving statistics and computation. The reading group has a webpage that can be found at Reading Group.

Teaching

In the Fall of 2008 I was the Graduate Student Instructor for CS 281A, Berkeley's course on statistical learning theory and graphical models.

Courses

Measure Theory and Functional Analysis, Information Theory and Statistics, Probability Theory, Advanced Statistical Learning Theory, Statistical Learning Theory, Topology and Measure Theory, Statistical Signal Processing, Large Scale Convex Optimization, Convex Optimization, Advanced Topics Information Theory, Mathematical Statistics