J. Nathan Kutz
José Nathan Kutz is the Robert Bolles and Yasuko Endo Professor within the Department of Applied Mathematics at the University of Washington in Seattle. His main research interests involve non-linear waves and coherent structures (especially in fiber lasers), as well as dimensionality reduction and data-analysis techniques for complex systems.He graduated from the University of Washington with a B.S. in 1990, and obtained his PhD in 1994 at Northwestern University, supervised by William L. Kath.
He is the author of the book ''Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data'' (Oxford Univ. Press, 2013). He also delivers on a regular basis ''Scientific Computing'' and ''Computational Methods for Data Analysis'' as Massive Open Online Courses (MOOCs) in the Coursera platform.
He was elected as a Fellow of the Society for Industrial and Applied Mathematics, in the 2022 Class of SIAM Fellows, "for contributions to applied dynamical systems, machine learning, and nonlinear optics". Provided by Wikipedia
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Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics
Published 2025-01-01Get full text
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The Proper Orthogonal Decomposition for Dimensionality Reduction in Mode-Locked Lasers and Optical Systems
Published 2012-01-01Get full text
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Complex Algorithms for Data-Driven Model Learning in Science and Engineering
Published 2019-01-01Get full text
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