Friday, August 10, 2018

In this article, we develop a new methodology, Hybrid-Sparse Identification of Nonlinear Dynamics (Hybrid-SINDy), which identifies separate nonlinear dynamical regimes, employs information theory t

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Tuesday, July 17, 2018

In this paper, we provide deterministic non-asymptotic error bounds for fitting a linear model to the observed time-series data, with a particular attention to the role of symmetry and eigenvalue m

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Saturday, February 24, 2018

We develop a new generalization of Koopman operator theory that incorporates the effects of inputs and control.

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Saturday, October 21, 2017
Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, benefiting from a strong connection to nonlinear dynamical syste
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Wednesday, August 2, 2017

The main focus of this work is on the use of PSPO to maximize the pseudo-likelihood of a stochastic epidemiological model to data from a 1861 measles outbreak in Hagelloch, Germany.

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Thursday, July 6, 2017
​Explores relations between​ mean field models for non-Markovian epidemics in networks.​
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Tuesday, May 30, 2017

​We present a universal, data-driven decomposition of chaos as an intermittently forced linear system. ​​

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Wednesday, April 26, 2017
​​​​Epidemics on modern human mobility networks are complex, but we demonstrate that population-level dynamics can be summarized with a parsimonious model based on space-fractional diffusion.​
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Wednesday, April 26, 2017
The method provides a promising new technique for discovering governing equations and physical laws in parameterized spatiotemporal systems. ​
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Tuesday, April 25, 2017

Containing the recent West African outbreak of Ebola virus (EBOV) required the deployment of substantial global resources.

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