EECS 500 Seminar

New applications of random matrix theory in science and engineering

Raj Rao Nadakuditi

Assistant Professor
University of Michigan - Department of EECS
 
Friday, October 04, 2013
12:30pm - 1:30pm
1311 EECS

 

About the Event

Random matrix theory: It is mathematics; it is statistics; it is physics; it is engineering. It is stochastic equation solving in its most glorious form. There have been applications for decades, yet the subject is not sufficiently well-known or well understood for all of the applications to have been realized. One-by-one the word has to spread. This talk will review some of the theory and new applications from uncovering patterns in web graphs to Netflix datasets to the paradox of opaque lenses not only for its own sake but as a case study for hinting at the sorts of applications that remain to be discovered.

Additional Information

Contact: Ann Pace

Phone: 763-5022

Email: ampace@umich.edu

Sponsor: University of Michigan, Department of Electrical Engineering & Computer Science

Open to: Public