Sanjeev Arora

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Sanjeev Arora
Sanjeev Arora.jpg
Arora at Oberwolfach, 2010
BornJanuary 1968 (1968-01) (age 55)
CitizenshipUnited States[1]
Known forProbabilistically checkable proofs
PCP theorem
Scientific career
FieldsTheoretical computer science
InstitutionsPrinceton University
Doctoral advisorUmesh Vazirani

Sanjeev Arora (born January 1968) is an Indian American theoretical computer scientist.

Life[edit]

He was a visiting scholar at the Institute for Advanced Study in 2002–03.[2]

In 2008 he was inducted as a Fellow of the Association for Computing Machinery.[3] In 2011 he was awarded the ACM Infosys Foundation Award, given to mid-career researchers in Computer Science. Arora has been awarded the Fulkerson Prize for 2012 for his work on improving the approximation ratio for graph separators and related problems (jointly with Satish Rao and Umesh Vazirani). In 2012 he became a Simons Investigator.[4] Arora was elected to the National Academy of Sciences on May 2, 2018.[5]

He is a coauthor (with Boaz Barak) of the book Computational Complexity: A Modern Approach and is a founder, and on the Executive Board, of Princeton's Center for Computational Intractability.[6] He and his coauthors have argued that certain financial products are associated with computational asymmetry, which under certain conditions may lead to market instability.[7]

Books[edit]

  • Arora, Sanjeev; Barak, Boaz (2009). Computational complexity : a modern approach. Cambridge University Press. ISBN 978-0-521-42426-4. OCLC 286431654.

References[edit]

  1. ^ a b "Sanjeev Arora". www.cs.princeton.edu.
  2. ^ Institute for Advanced Study: A Community of Scholars Archived 2013-01-06 at the Wayback Machine
  3. ^ ACM: Fellows Award / Sanjeev Arora Archived 2011-08-23 at the Wayback Machine
  4. ^ Simons Investigators Awardees, The Simons Foundation
  5. ^ "Professor Sanjeev Arora Elected to the National Academy of Sciences - Computer Science Department at Princeton University". www.cs.princeton.edu.
  6. ^ "Video Archive". intractability.princeton.edu.
  7. ^ Arora, S, Barak, B, Brunnemeier, M 2011 "Computational Complexity and Information Asymmetry in Financial Products" Communications of the ACM, Issue 5 see FAQ Archived 2012-12-02 at the Wayback Machine

External links[edit]