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Mario Szegedy

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Mario Szegedy
BornOctober 23, 1960(1960-10-23)(age63)
NationalityHungarian-American
Alma materUniversity of Chicago
AwardsGödel Prize(2001, 2005)
Scientific career
FieldsComputer science
InstitutionsRutgers University
ThesisAlgebraic Methods in Lower Bounds for Computational Models(1989)
Doctoral advisorLászló Babai,Janos Simon

Mario Szegedy(born October 23, 1960) is a Hungarian-Americancomputer scientist,professorofcomputer scienceatRutgers University.He received hisPh.D.in computer science in 1989 from theUniversity of Chicagoafter completing his dissertation titledAlgebraic Methods in Lower Bounds for Computational Models.[1]He held aLady Davis Postdoctoral Fellowshipat theHebrew University of Jerusalem(1989–90), a postdoc at the University of Chicago, 1991–92, and a postdoc atBell Laboratories(1992).

Szegedy's research areas includecomputational complexity theory,quantum computing,computational geometry,andcomputational theory.[2]

He was awarded theGödel Prizetwice, in 2001 and 2005, for his work onprobabilistically checkable proofsand on thespace complexityof approximating the frequency moments in streamed data.[3]His work on streaming algorithms and the resulting data analysis was also recognized by the 2019Paris Kanellakis Theory and Practice Award.[4]With computer scientistsUriel Feige,Shafi Goldwasser,László Lovász,andShmuel Safra,Szegedy won the Test of Time Award at the 2021 IEEE Foundations of Computer Science Conference for their work titledApproximating Clique is Almost NP-Complete.

He is married and has two daughters.

References

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  1. ^Mario Szegedyat theMathematics Genealogy Project
  2. ^Szegedy, Mario."Szegedy, Mario".www.cs.rutgers.edu.RetrievedDecember 12,2023.
  3. ^Gödel Prize website with list of winnersArchivedOctober 7, 2016, atArchive-It
  4. ^"ACM announces recipients of three prestigious technical awards for 2019".
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