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Prof. Jose Nathan Kutz — Research Profile

University of Washington · Department of Electrical & Computer Engineering

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This research profile is based on public faculty information. An independent lab and student recruitment have not yet been verified.
Information sourceChecked Oct 31, 2026

Graduate application deadlines

Department of Electrical & Computer Engineering

  • PhD in Electrical & Computer Engineering

    Fall 2027

    • Autumn 2027 - International

      Dec 15, 2026

    • Application deadline

      Autumn 2027 - Domestic

      Dec 15, 2026

    Source: apply.grad.uw.eduHow to applyChecked Nov 2, 2026

  • MS in Electrical & Computer Engineering

    Fall 2027

    • Application deadline

      Dec 15, 2026

    No year on the page — check the original to confirm these dates are for this cycle.

    Source: ece.uw.eduChecked Nov 2, 2026

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About

Prof. Jose Nathan Kutz at University of Washington Department of Electrical & Computer Engineering lists Data analysis and reduced order models, dynamical systems, physics-informed machine learning, complex systems and partial differential equations, linear and nonlinear wave propagation, perturbation and asymptotic methods, bifurcation theory, scientific computing, data-driven control theory, mode-locked lasers, neuroscience, sensor networks, fluid dynamics as their registered research area.

Research areas

Data analysis and reduced order models, dynamical systems, physics-informed machine learning, complex systems and partial differential equations, linear and nonlinear wave propagation, perturbation and asymptotic methods, bifurcation theory, scientific computing, data-driven control theory, mode-locked lasers, neuroscience, sensor networks, fluid dynamics

Research keywords

Data analysis and reduced order modelsdynamical systemsphysics-informed machine learningcomplex systems and partial differential equationslinear and nonlinear wave propagationperturbation and asymptotic methodsbifurcation theoryscientific computingdata-driven control theorymode-locked lasersneurosciencesensor networks

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