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职业迁徙
个人简介
I am an Associate Professor in the Computer Science Department at Carnegie Mellon University and received my PhD at Delft University of Technology in the Netherlands. My research focuses on solving hard-combinatorial problems in areas such as formal verification, number theory, and extreme combinatorics. Most of my contributions are related to theory and practice of satisfiability (SAT) solving. I have developed award-winning SAT solvers, and my preprocessing techniques are used in state-of-the-art SAT solvers.
My current research focusses on two major challenges for SAT solving: 1) exploiting the potential of high-performance computing; and 2) validating the results of SAT solvers and related tools. I have been developing a novel parallel SAT solving paradigm, called cube-and-conquer, which enables linear time speedups on many hard problems. The first publication on cube-and-conquer won the best paper award at HVC 2011.
The increasing complexity of SAT solvers and related tools makes it more likely that these tools contain bugs. I designed a new proof format and implemented a fast, corresponding proof checker for SAT and QBF solvers. Proof-logging in this format has been mandatory for the SAT Competitions since 2013, thereby increasing the confidence that tools produce correct results. By constructing and validating a proof for the Boolean Pythagorean Triples problem (200 TB in size), I showed that proof logging and verification is even possible for the hardest problems.
I am one of the editors of the Handbook of Satisfiability. This 900+ page handbook has become a standard for the SAT community, and it is a tremendous resource for future scientists. I am an Associate Editor of the Journal on Satisfiability, Boolean Modeling and Computation and was a co-chair of the SAT 2015 conference in Austin. My research statement and resume offer more details.
My current research focusses on two major challenges for SAT solving: 1) exploiting the potential of high-performance computing; and 2) validating the results of SAT solvers and related tools. I have been developing a novel parallel SAT solving paradigm, called cube-and-conquer, which enables linear time speedups on many hard problems. The first publication on cube-and-conquer won the best paper award at HVC 2011.
The increasing complexity of SAT solvers and related tools makes it more likely that these tools contain bugs. I designed a new proof format and implemented a fast, corresponding proof checker for SAT and QBF solvers. Proof-logging in this format has been mandatory for the SAT Competitions since 2013, thereby increasing the confidence that tools produce correct results. By constructing and validating a proof for the Boolean Pythagorean Triples problem (200 TB in size), I showed that proof logging and verification is even possible for the hardest problems.
I am one of the editors of the Handbook of Satisfiability. This 900+ page handbook has become a standard for the SAT community, and it is a tremendous resource for future scientists. I am an Associate Editor of the Journal on Satisfiability, Boolean Modeling and Computation and was a co-chair of the SAT 2015 conference in Austin. My research statement and resume offer more details.
研究兴趣
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CoRR (2023)
TACAS (1)pp.348-366, (2023)
CoRR (2023): 11:1-11:19
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2023 Formal Methods in Computer-Aided Design (FMCAD)pp.141-151, (2023)
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International Conference on Theory and Applications of Satisfiability Testingpp.72-87, (2023)
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2023 IEEE WORKING CONFERENCE ON SOFTWARE VISUALIZATION, VISSOFTpp.73-83, (2023)
International Colloquium on Theoretical Aspects of Computingpp.4-14, (2023)
CoRR (2023): 447-463
TACAS (1)pp.329-347, (2023)
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