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Prasad Raghavendra is a professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on areas such as the theory of computation, which includes topics like approximation algorithms and semidefinite programming. Raghavendra has made significant contributions to understanding the complexity of constraint satisfaction problems and has published numerous influential papers in prestigious conferences such as STOC, SODA, and FOCS, among others. His work has advanced knowledge in algorithm design and analysis, particularly in relation to graph expansion and unique games conjectures. He completed his PhD in Computer Science Engineering at the University of Washington and has been recognized with various awards, including the Michael Sheila Held Prize.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.