For the Hindu deity known as Kannan in Tamil, see Krishna.

Ravindran Kannan (Tamil: ரவீந்திரன் கண்ணன்; born 12 March 1953, Madras) is a Principal Researcher at Microsoft Research India, where he leads the algorithms research group. He is also the first adjunct faculty of Computer Science and Automation Department of Indian Ins*ute of Science.

Before joining Microsoft, he was the William K. Lanman Jr. Professor of Computer Science and Professor of Applied Mathematics at Yale University. He has also taught at MIT, CMU and IISc. 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. He also served on the Mathematical Sciences jury for the Infosys Prize in 2012 and 2013.

Ravi Kannan did his B.Tech at IIT, Bombay and PhD. at Cornell University. His research interests include Algorithms, Theoretical Computer Science and Discrete Mathematics as well as Optimization. His work has mainly focused on efficient algorithms for problems of a mathematical (often geometric) flavor that arise in Computer Science. He has worked on algorithms for integer programming and the geometry of numbers, random walks in n-space, randomized algorithms for linear algebra and learning algorithms for convex sets.

Contents

• 1 Key contributions
• 2 Selected works
  • 2.1 Books
  • 2.2 Other representative publications
• 3 Awards and honors
• 4 See also
• 5 References
• 6 External links

Key contributions

Among his many contributions, two are

1. Polynomial-time algorithm for approximating the volume of convex bodies
2. Algorithmic version for Szemerédi regularity par*ion

Selected works

Books

• 2013. Foundations of Data Science. (with John Hopcroft).

Other representative publications

• "Clustering in large graphs and matrices," with P. Drineas, A. Frieze, S. Vempala and V. Vinay, Proceedings of the Symposium on Discrete Algorithms, 1999.
• "A Polynomial-Time Algorithm for learning noisy Linear Threshold functions," with A. Blum, A. Frieze and S. Vempala, Algorithmica 22:35–52, 1998.
• "Covering Minima and lattice point free convex bodies," with L. Lovász, Annals of Mathematics, 128:577–602, 1988.

Awards and honors

• Joint Winner of the 1991 Fulkerson Prize in Discrete Mathematics for his work on the volumes of convex bodies.
• Knuth Prize 2011 for developing influential algorithmic techniques aimed at solving long-standing computational problems.

In 2017 he became a Fellow of the *ociation for Computing Machinery.

See also

• Szemerédi regularity lemma
• Alan M. Frieze
• Avrim Blum
• László Lovász

References

External links

• Ravi Kannan's home page
• Ravi Kannan at DBLP Bibliography Server
• Distinguished Alumni Awardees 1999, IIT Bombay
• Fulkerson Prize Award