Dahlia Malkhi

Dahlia Malkhi
Nationality Israeli-American
Alma mater Hebrew University of Jerusalem
Awards ACM Fellow
Scientific career
Fields Computer science
Institutions VMware
Doctoral advisor Danny Dolev

Dahlia Malkhi is an Israeli-American computer scientist who works on distributed systems as a founding principal researcher at VMware Research.[1]

Malkhi earned her bachelor's, master's, and doctoral degrees from the Hebrew University of Jerusalem, finishing her Ph.D. in 1994 under the supervision of Danny Dolev.[1][2] She taught at the Hebrew University until 2007, and then joined Microsoft Research at their Silicon Valley research center. In 2014, when Microsoft closed the center, she moved to VMware,[1] a company working in cloud computing and platform virtualization.[3]

In 2011, Malkhi became a Fellow of the Association for Computing Machinery "for contributions to fault-tolerant distributed computing."[4]

Selected publications

  • Malkhi, Dahlia; Reiter, Michael (1998), "Byzantine quorum systems", Distributed Computing, 11 (4): 203–213, doi:10.1007/s004460050050 . Preliminary version in ACM Symposium on Theory of Computing, STOC '97, doi:10.1145/258533.258650.
  • Malkhi, Dahlia; Naor, Moni; Ratajczak, David (2002), "Viceroy: A scalable and dynamic emulation of the butterfly", Proceedings of the Twenty-first Annual Symposium on Principles of Distributed Computing (PODC '02), New York, NY, USA: ACM, pp. 183–192, doi:10.1145/571825.571857, ISBN 1-58113-485-1 .
  • Malkhi, Dahlia; Nisan, Noam; Pinkas, Benny; Sella, Yaron (2004), "Fairplay – a secure two-party computation system", Proceedings of the 13th USENIX Security Symposium (Sec. '04), Berkeley, CA, USA: USENIX Association .

References

  1. 1 2 3 Employee profile, VMware Research, retrieved 2015-06-13.
  2. Dahlia Malkhi at the Mathematics Genealogy Project
  3. Perry, Tekla (January 23, 2015), "Former Microsoft Researchers Find New Homes at VMWare, Google, Apple, and Elsewhere", IEEE Spectrum
  4. ACM Fellow award citation, retrieved 2015-06-13.
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