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Dr. Goodrich's research is directed at the design of high performance algorithms and data structures with applications to information assurance and security, the Internet, machine learning, and geometric computing. He has pioneered and led research on efficient solutions to a number of fundamental problems, including sorting, convex hull construction, nearest-neighbor searching, linear programming, privacy-preserving data access, network traceback, and data authentication. His research has been supported by the U.S. National Science Foundation (NSF) and the U.S. Department of Defense, including the Army Research Office (ARO), the National Security Agency (NSA), the Office of Naval Research (ONR), and the Defense Advanced Research Projects Agency (DAPRA)
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论文共 468 篇作者统计合作学者相似作者
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International Conference on Combinatorial Optimization and Applicationspp.56-80, (2024)
CoRR (2023): 141-149
SEApp.8:1-8:18, (2023)
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WADSpp.493-506, (2023)
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PROCEEDINGS OF THE 35TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES, SPAA 2023pp.355-365, (2023)
CoRR (2023): 474-492
CoRR (2023)
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Proc. ACM Manag. Datano. 4 (2023): 265:1-265:27
Proc. Priv. Enhancing Technol.no. 3 (2023): 432-445
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