Eric Forgoston is an associate professor of applied mathematics at Montclair State University. His research involves the study of complex physical and biological phenomena, including material transport in the ocean, the outbreak and extinction of infectious diseases, behavior of biological and robotic swarms, food web dynamics in ecological systems, and the stability of fluid flows.


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Cited By

Year

Robotic tracking of coherent structures in flows

49

2014

Robotic Manifold Tracking of Coherent Structures in Flows

42

2012

Converging towards the optimal path to extinction

40

2011

Delay-induced instabilities in self-propelling swarms

38

2008

Accurate noise projection for reduced stochastic epidemic models

31

2010

Accurate noise projection for reduced stochastic epidemic models

31

2009

Distributed allocation of mobile sensing swarms in gyre flows

29

2013

Set-based corral control in stochastic dynamical systems: Making almost invariant sets more invariant

29

2011

Maximal sensitive dependence and the optimal path to epidemic extinction

26

2011

Initial-value problem for three-dimensional disturbances in a compressible boundary layer

25

2005

Coherent pattern prediction in swarms of delay-coupled agents

23

2012

Escape rates in a stochastic environment with multiple scales

20

2009

A primer on noise-induced transitions in applied dynamical systems

19

2018

Extinction pathways and outbreak vulnerability in a stochastic Ebola model

15

2017

Herbivory and stoichiometric feedbacks to primary production

15

2015

Noise, bifurcations, and modeling of interacting particle systems

12

2011

Predicting unobserved exposures from seasonal epidemic data

10

2013

Small and adrift with self-control: using the environment to improve autonomy

9

2018

Analysis and control of pre-extinction dynamics in stochastic populations

9

2014

Distributed allocation of mobile sensing agents in geophysical flows

7

2014

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“We have to be very careful when we go to release the social distancing and the other mitigation policies that have been put into place. If the disease is still in the community and there is still plenty of susceptible individuals, which there will be, if you just openly release all of these mitigation policies, then the disease will take off again.”

- Media Invited to Ask Questions - COVID-19 Testing, Drug Discovery, Infectiousness, and more

“The recovery rate provides a measure of how long it takes an individual who has been infected to recovery from the disease and becomes healthy again. Those two parameters are very important to understanding the spread of disease, both just in the real world but also, we need those parameters in our mathematical models to make good quantitative predictions.”

- Media Invited to Ask Questions - COVID-19 Testing, Drug Discovery, Infectiousness, and more

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