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TOPIC: Linear and nonlinear programmingClear

Roman Polyak

Professor of Mathematical Sciences

Expertise: Linear and nonlinear programming, game theory, mathematical economics

Roman Polyak is a professor and holds a joint appointment in the Mathematical Sciences and Systems Engineering and Operations Research departments.

He developed a theory and methods for solving constrained optimization problems called nonlinear rescaling (NR) that has becomes essential in solving complicated, real-world technological problems with thousands of variables. NR has been applied to image processing, designing building structures, finding optimal distribution of electricity across a power grid and medical diagnostics including improving radiation therapy for cancer treatment.

Polyak received a Fulbright Scholarship Award in 2001 for his work on NR theory and applications of the NR methods. In 2003, he became and International Foundation for Research in Experimental Economics Fellow for his work in mathematical economics.