J
Jose Nathan Kutz
Professor, Applied Mathematics; Boeing Professor in AI & Data-Driven Engineering, Electrical & Computer Engineering; Adjunct Professor, Physics
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Research Interests
Bifurcation Theory
Complex Systems and Partial Differential Equations
Data Analysis and Reduced Order Models
Data-Driven Control Theory
Dynamical Systems
Fluid Dynamics
Linear and Nonlinear Wave Propagation
Mode-Locked Lasers
Neuroscience
Perturbation and Asymptotic Methods
Physics-Informed Machine Learning
Scientific Computing
Sensor Networks
Academic Metrics
Links
Grants
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