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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Thursday, January 19, 2017

​We propose an alternative data-driven method to infer networked nonlinear dynamical systems by using sparsity-promoting optimization to select a subset of nonlinear interactions representing dynam

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Wednesday, January 11, 2017
​In this paper, we develop low-dimensional models for how an SIR disease will spread if it transmits through a sexual contact network and some other transmission mechanism, such as direct contact or v
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Wednesday, January 11, 2017
Using a computational model of the Caenorhabditis elegans connectome dynamics, we show that proprioceptive feedback is necessary for sustained dynamic responses to external input. ​
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Friday, November 25, 2016

SParSE++ is an event-oriented stochastic parameter search algorithm that features various leaping methods and improved interpolation over the existing algorithm SParSE.​

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Tuesday, November 22, 2016

​We review standard model reduction techniques such as Proper Orthogonal Decomposition (POD) with Galerkin projection and Balanced POD (BPOD). ​

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Wednesday, October 26, 2016

​Using recent advances in sparsity-promoting techniques, we present a novel algorithm to solve this sparse sensor placement optimization for classification (SSPOC) that exploits low-dimensional str

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Monday, September 19, 2016
Percolation is widely used to study spreading processes on networks. A number of generalized versions of percolation have been introduced.
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