S. Rao Kosaraju

Sambasiva Rao Kosaraju is an Indian-American professor of computer science at Johns Hopkins University, and division director for Computing & Communication Foundations at the National Science Foundation.[1] He has done extensive work in the design and analysis of parallel and sequential algorithms.

S. Rao Kosaraju
Alma materIIT Kharagpur
Known forKosaraju's algorithm
Scientific career
FieldsComputer science
Doctoral advisorHisao Yamada

Education

He was born in India, and he did his bachelor's degree in engineering from Andhra University, Masters from IIT Kharagpur, and holds a PhD from University of Pennsylvania.[2]

Career

In 1978, he wrote a paper describing a method to efficiently compute strongly connected members of a directed graph, a method later called Kosaraju's algorithm. Along with Paul Callahan, he published many articles on efficient algorithms for computing the well-separated pair decomposition of a point set. His research efforts include efficient algorithms for pattern matching, data structure simulations, universal graphs, DNA sequence assembly, derandomization and investigations of immune system responses.[2]

In 1995, he was inducted as a Fellow of the Association for Computing Machinery. He is also a fellow of the IEEE. A common saying at Johns Hopkins University, "At some point, the learning stops and the pain begins." has been attributed to him. There used to be a shrine in the CS Undergraduate Lab in his honour.

References
  1. Staff Announcement – CCF, Farnam Jahanian, NSF, retrieved 2014-01-14.
  2. "S. Rao Kosaraju's home page". www.cs.jhu.edu. Retrieved 31 October 2016.
  • Callahan, Paul B.; Kosaraju, Sambasiva Rao (1992), "A decomposition of multidimensional point sets with applications to k-nearest-neighbors and n-body potential fields (preliminary version)", STOC '92: Proc. ACM Symp. Theory of Computing, ACM.
  • S. Rao Kosaraju at the Mathematics Genealogy Project
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.