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Anuran Makur is an Assistant Professor in the Department of Computer Science and the Elmore Family School of Electrical and Computer Engineering at Purdue University. He holds a Bachelor of Science degree with highest honors from the University of California, Berkeley, and both Master of Science and Doctoral degrees from the Massachusetts Institute of Technology. His research encompasses theory of computing, algorithms, quantum computing, machine learning, information theory, and applied probability. Makur has received several prestigious awards, including the Arthur M. Hopkin Award from UC Berkeley and the CAREER Award from the National Science Foundation. His work has been published in various renowned journals and conferences in his fields of interest, highlighting significant contributions to the understanding of information theory and its applications.
Laboratory for Information Decision Systems • MIT
Conducted research in the fields of machine learning and information systems.
GRE is not required.