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New applications of random matrix theory in science and engineering

Raj Rao NadakuditiAssistant ProfessorUniversity of Michigan - Department of EECS

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.

Sponsored by

University of Michigan, Department of Electrical Engineering & Computer Science