Kannan, Ravindran, 1953-
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Information for Authority record
- Foundations of data science, 2020:ECIP t.p. (Ravindran Kannan, Microsoft Research, India) publisher information (b. 1953)
- Wikipedia, viewed Sept. 3, 2019(Ravindran Kannan; b. March 12, 1953, Madras, India; author of Foundations of data science; a Principal Researcher at Microsoft Research India; adjunct faculty of Computer Science and Automation Department of Indian Institute of Science;before joining Microsoft, he was Professor of Computer Science and Professor of Applied Mathematics at Yale University. He has also taught at MIT, CMU and IISc; earned his B.Tech at IIT, Bombay and PhD. at Cornell University)
Wikipedia description:
Ravindran (Ravi) Kannan (Tamil: ரவீந்திரன் கண்ணன்); born 12 March 1953, is a theoretical computer scientist. His work has mainly focused on efficient algorithms for problems of a mathematical (often geometric) flavor that arise in Computer Science, Machine Learning and Optimization. Ravi was a Principal Researcher at Microsoft Research Lab, India. Before joining Microsoft, he was William K. Lanman Jr. Professor of Computer Science and Professor of Applied Mathematics at Yale University. Prior to that he has been on the faculty of CMU and MIT. The ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) presented its 2011 Knuth Prize to Ravi Kannan for developing influential algorithmic techniques aimed at solving long-standing computational problems. Ravi Kannan did his B.Tech at IIT, Bombay. He received his PhD in 1980 at Cornell University under Leslie Earl Trotter, Jr.
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