Alexander Vardy
Alexander Vardy is a Russian-born and Israeli-educated electrical engineer known for his expertise in coding theory.[1] He holds the Jack Keil Wolf Endowed Chair in Electrical Engineering at the University of California, San Diego.[2] The Parvaresh–Vardy codes are named after him.[3]
Vardy was born in Moscow in 1963.[1][4] He graduated from the Technion – Israel Institute of Technology in 1985,[4] and completed his Ph.D. in 1991 at Tel Aviv University.[1][5] During his graduate studies, he also worked on electronic countermeasures for the Israeli Air Force.[4] He became a researcher at the IBM Almaden Research Center for two years, then became a faculty member of the University of Illinois at Urbana–Champaign before moving to UCSD in 1998.[1][4] He served as editor-in-chief of the IEEE Transactions on Information Theory from 1998 to 2001.[1][6]
In 2004 a paper by Ralf Koetter and Vardy on decoding Reed–Solomon codes was listed by the IEEE Information Theory Society as the best paper in information theory of the previous two years; the resulting decoding algorithm has become known as the Koetter–Vardy algorithm.[1] Vardy was named a fellow of the Institute of Electrical and Electronics Engineers in 1999.[2][7] He became the Jack Wolf Professor in 2013.[2]
References
- 1 2 3 4 5 6 UC San Diego Scientist Wins Award from IEEE Information Theory Society for Breakthrough in Coding Theory and Practice, California Institute for Telecommunications and Information Technology, November 9, 2004.
- 1 2 3 Alex Vardy Named First Jack Keil Wolf Chair in Electrical Engineering, University of California, San Diego, May 15, 2013.
- ↑ Guruswami, Venkatesan; Umans, Christopher; Vadhan, Salil (2009), "Unbalanced expanders and randomness extractors from Parvaresh-Vardy codes", Journal of the ACM 56 (4): Art. 20, 34, doi:10.1145/1538902.1538904, MR 2590822.
- 1 2 3 4 IEEE Information Theory Society member profile, retrieved 2015-08-09.
- ↑ Alexander Vardy at the Mathematics Genealogy Project
- ↑ Past editors of IEEE Transactions on Information Theory, University of Toronto, Faculty of Applied Science & Engineering, retrieved 2015-08-09.
- ↑ IEEE Fellows Directory, retrieved 2015-08-09.