Biography:Dana Ron

From HandWiki
Revision as of 03:59, 7 February 2024 by Wikisleeper (talk | contribs) (link)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Dana Ron Goldreich
Dana Ron Goldreich.jpg
Dana Ron
NationalityIsraeli
EducationHebrew University of Jerusalem
Known forProperty testing
Scientific career
FieldsComputer Science
InstitutionsTel Aviv University
ThesisAutomata Learning and its Applications (1995)
Doctoral advisorNaftali Tishby
Doctoral studentsTali Kaufman

Dana Ron Goldreich (Hebrew: דנה רון גולדרייך‎; b. 1964) is a computer scientist, a professor of electrical engineering at the Tel Aviv University, Israel.[1] Prof. Ron is one of the pioneers of research in property testing, and a leading researcher in that area.

Professional career

Dana Ron obtained her B.A. (1987) and M.A. (1989) in computer science from the Hebrew University in Jerusalem. Her Ph.D. (1995), also from the Hebrew University, was in the area of machine learning.[2] Between the years 1995-97 she was an NSF post-doctoral fellow at the Massachusetts Institute of Technology (MIT). She was a Bunting fellow in 1997/8, and the Radcliffe fellow at Harvard University in 2003/4.[3] Her research interests include sublinear-time algorithms (in particular property testing), randomized algorithms, and computational learning theory.

She is married to Oded Goldreich, who is also a computer scientist at the Weizmann Institute, and has collaborated with Goldreich on approximation algorithms.[4]

Works

Books

  • D. Ron. Algorithmic and Analysis Techniques in Property Testing, Foundations and Trends in Theoretical Computer Science: vol. 5, no. 2, pages 73–205, 2009.
  • D. Ron. Property Testing: A Learning Theory Perspective, Foundations and Trends in Machine Learning: vol. 1, no. 3, pages 307–402, 2008.

Selected publications

  • N. Alon, S. Dar, M. Parnas, and D. Ron, Testing of Clustering. SIAM Review, vol. 46, no. 2, pages 285–308, 2004.
  • O. Goldreich, S. Goldwasser and D. Ron, Property Testing and its connection to Learning and Approximation. Journal of the ACM, vol. 45, no. 4, pages 653–750, July 1998.
  • D. Ron, Y. Singer, and N. Tishby, The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Machine Learning, vol. 25, no. 2, pages 117–149, 1996.

References

  1. Faculty listing, Electrical Engineering, Tel Aviv University, retrieved 2011-12-14.
  2. Dana Ron at the Mathematics Genealogy Project
  3. 2003–2004 Radcliffe Institute Fellows: Dana Ron, archived 2010-08-16.
  4. "The Art of Compromise", Interface Magazine (Weizmann Institute), Spring–Summer 2006, archived from the original on 2011-08-07, https://web.archive.org/web/20110807100607/http://wis-wander.weizmann.ac.il/opting-for-efficiency .

External links