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1. vuhavan.comVan H. Vu

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   Welcome to my webpage! I am a Persey F. Smith professor in Mathematics and a professor in Data Science at Yale University. My research foci are additive and probabilistic combinatorics, random matrices and high dimensional probability.

2. institute.vinbigdata.org › en › advisorycouncilProf. Vu Ha Van – VinBigdata

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   Vu Ha Van is currently the Scientific Director of Vingroup Big data Institute and Professor of Mathematics at Yale University. Prof. Vu Ha Van was born on June 12, 1970 in Hanoi. He attended Chu Van An and Hanoi – Amsterdam High School for the Gifted.

3. en.wikipedia.org › wiki › Van_HVan H. Vu - Wikipedia

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   Van H. Vu (Vietnamese: Vũ Hà Văn) is a Vietnamese mathematician and the Percey F. Smith Professor of Mathematics at Yale University. [1] Education and career. Vu was born in Hanoi (Vietnam) in 1970. He went to special math classes for gifted children at Chu Van An and Hanoi-Amsterdam high schools.

4. vuhavan.com › profileProfile – Van H. Vu

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   Vu was born in Hanoi (Vietnam) in 1970. He went to special math classes for gifted children at Chu Van An and Hanoi-Amsterdam high schools. In 1987, he went to Hungary for his undergraduate studies, and obtained his M. Sc in mathematics at the Eötvös University , Budapest, in 1994.

5. zbmath.org › authors › vu-ha-vanVũ Hà Văn - Author Profile - zbMATH Open

   zbmath.org › authors › vu-ha-van

   Random covariance matrices: universality of local statistics of eigenvalues. Zbl 1247.15036. Local resilience of graphs. Zbl 1182.05114. Additive combinatorics. Paperback reprint of the 2006 hardback ed. Zbl 1179.11002. Sparse random graphs: eigenvalues and eigenvectors. Zbl 1257.05089.

6. appadvice.com › app › sum-freaking-math-proSum: Freaking Math Pro by Van Ha Vu - appadvice.com

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   20 kwi 2017 · This is great math game, it is very easy to play but hard to master

7. vinfutureprize.org › prize-councils › professor-ha-van-vuProfessor Hà-Văn Vũ - VinFuture Prize

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   Ha-Van Vu is the Percey F. Smith Professor of Mathematics and Professor of Data Science at Yale University. He is well known for his work in additive and probabilistic combinatorics, random matrix theory, and their applications in computational science.