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Dr. Shang-Hua Teng has twice won the prestigious Gödel Prize in theoretical computer science, first in 2008, for developing the theory of smoothed analysis, and then in 2015, for designing the groundbreaking nearly-linear time Laplacian solver for network systems.
He and his collaborators also pioneered the development of well-shaped Dalaunay meshing algorithms for arbitrary three-dimensional geometric domains, which settled a long-term open problem in numerical simulation, also a fundamental problem in computer graphics. Software based on this development was used at the University of Illinois for the simulation of advanced rockets. Teng is also interested in mathematical board games.
He and his collaborators also pioneered the development of well-shaped Dalaunay meshing algorithms for arbitrary three-dimensional geometric domains, which settled a long-term open problem in numerical simulation, also a fundamental problem in computer graphics. Software based on this development was used at the University of Illinois for the simulation of advanced rockets. Teng is also interested in mathematical board games.
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CoRR (2024)
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ACM Transactions on Intelligent Systems and Technologyno. 6 (2023): 96:1-96:39
Commun. ACMno. 12 (2023): 84-84
Communications of the ACMno. 12 (2023): 84-84
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)
Fun with Algorithms (FUN)pp.10:1-10:17, (2022)
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