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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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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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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Friday, May 13, 2016
A stochastic collocation method coupled with an analytical expansion of the canonical epidemiological master equation is used to analyze the effects of both extrinsic and intrinsic noise.
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Thursday, March 31, 2016
A novel method is presented to compute the exit time for the stochastic simulation alogrithm. The method is based on the addition of random variables and is derived using the convolution theorem.
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Thursday, January 28, 2016
This publication examines new stochastic simulations of a prototypical infection on the dense, highly-connected United States air travel network.
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Tuesday, January 26, 2016
This publication explores a new method, called Dynamic Mode Decomposition with control (DMDc), which extends DMD to incorporate the effect of inputs and control.
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