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  1. de.wikipedia.org › wiki › Ran_RazRan Raz – Wikipedia

    Ran Raz ist ein israelischer Informatiker, der sich insbesondere mit Komplexitätstheorie befasst. Raz wurde 1992 an der Hebräischen Universität bei Avi Wigderson promoviert (Communication Complexity and Circuit Lower Bounds). [1]

  2. en.wikipedia.org › wiki › Ran_RazRan Raz - Wikipedia

    Ran Raz (Hebrew: רָן רָז) is a computer scientist who works in the area of computational complexity theory. He was a professor in the faculty of mathematics and computer science at the Weizmann Institute. He is now a professor of computer science at Princeton University.

  3. Ran Raz. Professor of Computer Science. Website: https://www.cs.princeton.edu/people/profile/ranr. Email: ranr@cs.princeton.edu. Office: Computer Science, 421. Phone: 609-258-2086. Research interests: Complexity theory, with emphasis on proving lower bounds for computational models: Boolean and arithmetic circuit complexity, communication ...

  4. May 29th, 2024 Margaret Martonosi wins ACM Frances E. Allen Award for Outstanding Mentoring; May 27th, 2024 On Class Day, the department celebrates the accomplishments of graduates

  5. 1998. Exponential separation of quantum and classical communication complexity. R Raz. Proceedings of the thirty-first annual ACM symposium on Theory of computing …. , 1999. 298. 1999. Exponential separations for one-way quantum communication complexity, with applications to cryptography.

  6. Ran Raz is a Professor of Theoretical Computer Science at the Weizmann Institute of Science. He received his BSc in Mathematics and Physics and PhD in Mathematics from the Hebrew University, and after a postdoc at Princeton University joined the Weizmann Institute.

  7. Ran Raz. Hi ! I am a faculty member in the faculty of mathematics and computer science at the Weizmann Institute. My main research area is complexity theory, with emphasize on proving lower bounds for computational models. More specifically, I am interested in. Boolean circuit complexity. Arithmetic circuit complexity. Communication complexity.