Peter Gacs
PROFESSOR
Computer Science
Boston University
United States of America
Biography
Before coming to BU, Peter studied in Budapest, worked at the Hungarian Academy of Science with trips to Moscow, obtained a PhD in Frankfurt, did postdoc work at Stanford, and taught in Rochester. Professor Gacs has worked on problems derived from information theory (classical, and algorithmic) and reliable computation. With Ahlswede and Körner wrote some of the earliest papers of multi-user information theory. In algorithmic information theory (Kolmogorov complexity), Gacs also had some part in developing the fundamental results (earlier with Levin, later with Vitányi and others). In reliable computation, his main contributions are to the probabilistic cellular automaton model: in some sense the most natural one, but mathematically difficult. He has been the principal investigator of several NSF grants, and is an external member of the Hungarian Academy of Sciences.
Research Interest
Probabilistic cellular automaton model, classical, and algorithmic information theory
Publications
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Peter Gacs. Clairvoyant Scheduling of Random Walks. Random Structures and Algorithms, 39(4):413–485, 2011. arXiv/math:0109152 [math.PR], www.cs.bu.edu/faculty/gacs/papers/walks.pdf. Short version in STOC ’02.
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Laurent Bienvenu, Mathieu Hoyrup, Cristobal Rojas and Alexander Shen. Algorithmic tests and randomness with respect to a class of measures. Proceedings of the Steklov Institute of Mathematics, 274(1):34–89, 2011. In English and Russian, also in arXiv:1103.1529.
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Ilir Capuni and Peter Gacs. A Turing machine resisting isolated bursts of faults. Chicago Journal of Theoretical Computer Science, 2013. See also in arXiv:1203.1335. Extended abstract appeared in SOFSEM 2012.
