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个人简介
Cliff Joslyn’s research aims to explore and understand classes of mathematical, formal, and conceptual models of complex information systems; how they can be interrelated, translated, and integrated; and how they can be deployed in interdisciplinary data science applications.
Cliff’s research has been applied at multiple US government agencies in fields ranging from computational biology to cyber analytics, blockchain technology, reliability analysis, and high-performance computing.
Cliff’s work draws from multiple mathematical fields, including computational topology, order and lattice theory, hypergraph analytics, generalized information theory and non-standard probability, multivariate data analysis, relational data modeling, and probabilistic graphical models. To these formal approaches he brings a perspective on semantic information theory and computational semiotics, in the context of the cybernetic philosophy of modeling and evolutionary systems. Thus, his work is generally strongly engaged with semantic technology, formal ontologies, and the engineering of supportive software technologies.
Cliff’s research has been applied at multiple US government agencies in fields ranging from computational biology to cyber analytics, blockchain technology, reliability analysis, and high-performance computing.
Cliff’s work draws from multiple mathematical fields, including computational topology, order and lattice theory, hypergraph analytics, generalized information theory and non-standard probability, multivariate data analysis, relational data modeling, and probabilistic graphical models. To these formal approaches he brings a perspective on semantic information theory and computational semiotics, in the context of the cybernetic philosophy of modeling and evolutionary systems. Thus, his work is generally strongly engaged with semantic technology, formal ontologies, and the engineering of supportive software technologies.
研究兴趣
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Brenda Praggastis,Sinan Aksoy,Dustin Arendt, Mark Bonicillo,Cliff Joslyn,Emilie Purvine,Madelyn Shapiro, Ji Young Yun
Journal of Open Source Softwareno. 95 (2023)
Audun Myers, Alyson Bittner,Sinan Aksoy, Daniel M. Best, Gregory Henselman-Petrusek,Helen Jenne,Cliff Joslyn,Bill Kay, Garret Seppala, Stephen J. Young,Emilie Purvine
CoRR (2023): 1-8
Youjia Zhou,Helen Jenne,Davis Brown,Madelyn Shapiro,Brett Jefferson,Cliff Joslyn, Gregory Henselman-Petrusek,Brenda Praggastis,Emilie Purvine,Bei Wang
2023 Topological Data Analysis and Visualization (TopoInVis)pp.41-50, (2023)
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Studies in computational intelligencepp.253-284, (2023)
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CoRR (2023)
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crossref(2023)
Cliff A. Joslyn, Andrés Ortiz-Muñoz,Edgar Daniel Rodriguez Velasquez,Olga Kosheleva,Vladik Kreinovich
NAFIPSpp.279-289, (2023)
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