Biography:Oded Regev (computer scientist)

From HandWiki
Oded Regev
Alma materTel Aviv University
Known forLearning with errors
Awards
  • Simons Investigator (2019)[1]
  • Gödel Prize (2018)
  • Krill Prize (2005)[2]
Scientific career
FieldsComputer science, Lattice-based cryptography
InstitutionsCourant Institute of Mathematical Sciences
Thesis (2001)
Doctoral advisorYossi Azar
Websitecims.nyu.edu/~regev/

Oded Regev (Hebrew: עודד רגב) is an Israeli-American theoretical computer scientist and mathematician. He is a professor of computer science at the Courant institute at New York University.[3] He is best known for his work in lattice-based cryptography, and in particular for introducing the learning with errors problem.

Biography

Oded Regev earned his B.Sc. in 1995, M.Sc. in 1997, and Ph.D. in 2001, all from Tel Aviv University. He completed his Ph.D. at the age of 21, advised by Yossi Azar, with a thesis titled "Scheduling and Load Balancing."[4][5][6] He held faculty positions at Tel Aviv University and the École Normale Supérieure before joining the Courant institute.[7]

Work

Regev has done extensive work on lattices. He is best known for introducing the learning with errors problem (LWE), for which he won the 2018 Gödel Prize.[8] As the citation reads:

Regev’s work has ushered in a revolution in cryptography, in both theory and practice. On the theoretical side, LWE has served as a simple and yet amazingly versatile foundation for nearly every kind of cryptographic object imaginable—along with many that were unimaginable until recently, and which still have no known constructions without LWE. Toward the practical end, LWE and its direct descendants are at the heart of several efficient real-world cryptosystems.

Regev's most influential other work on lattices includes cryptanalysis of the GGH and NTRU signature schemes in joint work with Phong Q. Nguyen, for which they won a best paper award at Eurocrypt 2006; introducing the ring learning with errors problem in joint work with Chris Peikert and Vadim Lyubashevsky; and proving a converse to Minkowski's theorem and exploring its applications in joint works with his student Noah Stephens-Davidowitz and his former postdoc Daniel Dadush. [9] [10] [11] [12] [13]

In addition to his work on lattices, Regev has also done work in a large number of other areas in theoretical computer science and mathematics. These include quantum computing, communication complexity, hardness of approximation, online algorithms, combinatorics, probability, and dimension reduction. He has also recently become interested in topics in biology, and particularly RNA splicing.[14][15]

Regev is an associate editor in chief of the journal Theory of Computing, and is a co-founder and organizer of the TCS+ online seminar series.[16][17]

References

  1. https://www.simonsfoundation.org/mathematics-physical-sciences/simons-investigators/simons-investigators-awardees/
  2. http://www.wolffund.org.il/index.php?dir=site&page=winners&cs=565
  3. Faculty listing, Courant Institute of Mathematical Sciences, accessed 2019-06-25.
  4. School of Computer Science Thesis Repository, Tel-Aviv University, accessed 2019-06-25.
  5. https://www.aftau.org/2013-redesign/pages/tau/spotlights/blavatnik-school-of-computer-science#alumniSay.
  6. http://primage.tau.ac.il/libraries/theses/exeng/free/1509397_abe.pdf.
  7. https://www.simonsfoundation.org/team/oded-regev/
  8. http://eatcs.org/index.php/component/content/article/1-news/2670-2018-godel-prize
  9. https://www.iacr.org/cryptodb/data/bestpapers.php
  10. Nguyen, Phong Q.; Regev, Oded (2008). "Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures". Journal of Cryptology 22 (2): 139–160. doi:10.1007/s00145-008-9031-0. ISSN 0933-2790. 
  11. Lyubashevsky, Vadim; Peikert, Chris; Regev, Oded (2010). On Ideal Lattices and Learning with Errors over Rings. 6110. pp. 1–23. doi:10.1007/978-3-642-13190-5_1. ISSN 0302-9743. 
  12. Regev, Oded; Stephens-Davidowitz, Noah (2017), A reverse Minkowski theorem, Annual ACM SIGACT Symposium on Theory of Computing, Montreal, Quebec, Canada, pp. 941–953 
  13. Dadush, Daniel; Regev, Oded (2016). Towards Strong Reverse Minkowski-Type Inequalities for Lattices. pp. 447–456. doi:10.1109/FOCS.2016.55. 
  14. https://cims.nyu.edu/~regev/.
  15. https://scholar.google.com/citations?user=3-gk0ioAAAAJ&hl=en&oi=ao
  16. List of editors, Theory of Computing, accessed 2019-06-25.
  17. https://sites.google.com/site/plustcs/