Projects per year
Personal profile
University profile
Dr. 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.
Research interests
Data Driven Analysis; Fluid Mechanics; Mathematical Biology; Nonlinear Dynamical Systems; Scientfic Computing
Scholarly Interests
Applied Mathematics, Deterministic and Stochastic Dynamical Systems, Mathematical Biology, Mathematical Epidemiology, Fluid Mechanics
Faculty/Media Expert
Expert on applied mathematics, mathematical biology, mathematical epidemiology, and fluid mechanics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Eric Forgoston is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
RUI: Stochastic Interactions: Understanding Invasion and Extinction in Ecological Systems
1/07/19 → 30/06/23
Project: Research
-
CHARACTERIZATION AND ENRICHMENT OF GLYCOPROTEIN/GLYCAN VIA MULTI-FUNCTIONAL FREE RADICAL REAGENTS
National Institute of Health (NIH)
15/09/17 → 31/08/20
Project: Research
-
Collaborative Research: Improved Vehicle Autonomy in Geophysical Flows
1/07/15 → 30/06/18
Project: Research
-
RUI: TRANSPORT OF INERTIAL PARTICLES IN TIME-DEPENDENT AND STOCHASTIC FLOWS
National Science Foundation (NSF)
15/07/14 → 30/06/17
Project: Research
-
Characterizing outbreak vulnerability in a stochastic SIS model with an external disease reservoir
Nieddu, G. T., Forgoston, E. & Billings, L., 6 Jul 2022, In: Journal of the Royal Society Interface. 19, 192, 20220253.Research output: Contribution to journal › Article › peer-review
-
Controlling epidemic extinction using early warning signals
Ullon, W. & Forgoston, E., 2022, (Accepted/In press) In: International Journal of Dynamics and Control.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning ocean circulation models with reservoir computing
Yao, K., Forgoston, E. & Yecko, P., Nov 2022, In: Physics of Fluids. 34, 11, 116604.Research output: Contribution to journal › Article › peer-review
-
Knowledge-based learning of nonlinear dynamics and chaos
Jiahao, T. Z., Hsieh, M. A. & Forgoston, E., 1 Nov 2021, In: Chaos. 31, 11, 111101.Research output: Contribution to journal › Article › peer-review
13 Scopus citations -
Matrix scaling and tipping points
Thorne, M. A. S., Forgoston, E., Billings, L. & Neutel, A. M., 2021, In: SIAM Journal on Applied Dynamical Systems. 20, 2, p. 1090-1103 14 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations