Sudipto Guha

Associate Professor
Computer and Information Science (CIS)

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Honors and Awards:  NSF CAREER Award - 2007, Alfred P. Sloan Faculty Research Fellow - 2004

Research Expertise: Algorithms and Complexity

Sudipto studies the design and implementation of a wide range of computational systems, from resource constrained devices, such as sensors, up through massively parallel and distributed systems. Using an algorithmic framework, Sudipto seeks to design systems that are correct, efficient, and optimized, despite their bidirectional asymptotic scale and seeming lack of similarity to human information processes. Sudipto's recent work focuses on clustering and location theory, statistics and learning theory, database query optimization and mining, approximation algorithms for stochastic control, communication complexity and data stream algorithms.

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