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Homepage of Eric Forgoston

Contact Information

    Phone: +1 973 655-7242
    Office: Schmitt Hall - 332

    Mailing Address:
    Eric Forgoston
    Applied Mathematics and Statistics
    School of Computing
    Montclair State University
    1 Normal Avenue
    Montclair, NJ 07043
    USA

Publications

  1. E. Lyttek, P. Lal, B. Oberle, R.S. Dubey and E. Forgoston, Impact of Fraxinus snag fall on electric distribution and infrastructure stability: An empirical analysis, Ecological Economics, 225 108323 (2024). [PDF]

  2. L. Zhornyak, M.A. Hsieh and E. Forgoston, Inferring Bifurcation Diagrams with Transformers, Chaos: An Interdisciplinary Journal of Nonlinear Science, 34 051102 (2024). [PDF]

  3. Eric Forgoston, Sarah Day, Peter C. de Ruiter, Arjen Doelman, Nienke Hartemink, Alan Hastings, Lia Hemerik, Alexandru Hening, Josef Hofbauer, Sonia Kefi, David A. Kessler, Toni Klauschies, Christian Kuehn, Xiaoxiao Li, John C. Moore, Elly Morrien, Anje-Margriet Neutel, Jelena Pantel, Sebastian J. Schreiber, Leah B. Shaw, Nadav Shnerb, Eric Siero, Laura S. Storch, Michael A.S. Thorne, Ingrid van de Leemput, Ellen van Velzen and Els Weinans, Stability and Fluctuations in Complex Ecological Systems, arXiv, June 2023. [PDF]

  4. W. Ullon and E. Forgoston, Controlling Epidemic Extinction Using Early Warning Signals, International Journal of Dynamics and Control, 19, 851-861 (2023). [PDF]

  5. K. Yao, E. Forgoston and P. Yecko, Learning Ocean Circulation Models with Reservoir Computing, Physics of Fluids, 34 116604 (2022). [PDF]

  6. G.T. Nieddu, E. Forgoston and L. Billings, Characterizing Outbreak Vulnerability in a Stochastic SIS Model with an External Disease Reservoir, Journal of the Royal Society Interface, 19 (192), 20220253 (2022). [PDF]

  7. J. Karr, R.S. Mailik-Sheriff, J. Osborne, G. Gonzalez-Parra, E. Forgoston, R. Bowness, Y. Liu, R. Thompson, W. Garira, J. Barhak, J. Rice, M. Torres, H.M. Dobrovolny, T. Tang, W. Waites, J.A. Glazier, J. Faeder and A. Kulesza, Model Integration in Computational Biology: the Role of Reproducibility, Credibility and Utility, Frontiers in Systems Biology, 2 822606 (2022). [PDF]

  8. T.Z. Jiahao, M.A. Hsieh and E. Forgoston, Knowledge-Based Learning of Nonlinear Dynamics and Chaos, Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 111101 (2021). [PDF]

  9. M.A.S. Thorne, E. Forgoston, L. Billings and  A.-M. Neutel, Matrix Scaling and Tipping Points, SIAM Journal on Applied Dynamical Systems, 20 (2), 1090-1103 (2021). [PDF]

  10. K. Carfora, E. Forgoston, L. Billings and  J.A. Krumins, Seasonal effects on the stoichiometry of microbes, primary production, and nutrient cycling, Theoretical Ecology, 14, 321-333 (2021). [PDF]

  11. T. Salam, D. Kularatne, E. Forgoston and M.A. Hsieh, Adaptive Sampling and Energy Efficient Navigation in Time-Varying Flows, in Autonomous Underwater Vehicles: Design and practice, edited by F. Ehlers, The Institution of Engineering and Technology (2020). [PDF]

  12. M. Qraitem, D. Kularatne, E. Forgoston and M.A. Hsieh, Bridging the gap: Machine learning to resolve improperly modeled dynamics, Physica D: Nonlinear Phenomena, 414, 132736 (2020). [PDF]

  13. E. Forgoston and M.A.S.Thorne, Strategies for Controlling the Spread of COVID-19, medRxiv, June 2020. [PDF]

  14. E. Forgoston and M.A.S.Thorne, Effect of Removing Lockdown Strategies on the Spread of COVID-19 in New Jersey, AMST Technical Report No. 2020-02, May 2020. [PDF]

  15. E. Forgoston, Effect of Mitigation Strategies on the Spread of COVID-19 in New Jersey, AMST Technical Report No. 2020-01, April 2020. [PDF]

  16. E. Lyttek, P. Lal, G. Nieddu, E. Forgoston and T. Wieczerak, Modeling Agrilus planipennis F. (Coleoptera: Buprestidae) Spread in New Jersey, Journal of Economic Entomology, 112 (5), 2482-2488 (2019). [PDF]

  17. D. Kularatne, E. Forgoston and M.A. Hsieh, Using control to shape stochastic escape and switching dynamics, Chaos: An Interdisciplinary Journal of Nonlinear Science, 29 053128 (2019). [PDF]

  18. E. Forgoston, L. Billings and I.B. Schwartz, Model Reduction in Stochastic Environments, in Stochastic PDEs and Modelling of Multiscale Complex System, edited by X. Chen, Y. Lv and W. Wang, Interdisciplinary Mathematical Sciences: Volume 20, World Scientific (2019). [PDF]

  19. L. Billings and E. Forgoston, New Results in Stochastic Analysis Using Dynamical Systems Theory, SIAM News, 52 (1), January/February 2019.

  20. E. Forgoston and R.O. Moore, A Primer on Noise-Induced Transitions in Applied Dynamical Systems, SIAM Review, 60 (4), 969-1009 (2018). [PDF]

  21. D. Kularatne, E. Forgoston and M.A. Hsieh, Exploiting Stochasticity for the Control of Transitions in Gyre Flows, 2018 Robotics: Science and Systems XIV Conference (RSS 2018), Pittsburgh, Pennsylvania, June 2018. [PDF]

  22. L. Billings and E. Forgoston, Seasonal forcing in stochastic epidemiology models, Ricerche di Matematica 67, 27-47 (2018). [PDF]

  23. P. Burli, E. Forgoston, P. Lal, L. Billings and B. Wolde, Adoption of switchgrass cultivation for biofuel under uncertainty: A discrete-time modeling approach, Biomass & Bioenergy 105, 107-115 (2017). [PDF]

  24. G.T. Nieddu, L. Billings, J.H. Kaufman, E. Forgoston and S. Bianco, Extinction Pathways and Outbreak Vulnerability in a Stochastic Ebola Model, Journal of the Royal Society Interface 14, 20160847 (2017). [PDF]

  25. M. Bauver, E. Forgoston and L. Billings, Computing the Optimal Path in Stochastic Dynamical Systems, Chaos: An Interdisciplinary Journal of Nonlinear Science 26, 083101 (2016). [PDF]

  26. E. Forgoston, L. Hentschker, S. Soltau, P. Truitt and A. Vaidya, Thermally Induced Aggregation of Rigid Spheres on a Liquid Surface, Physics Letters A 380 (1-2), 227-231 (2016). [PDF]

  27. M.A. Hsieh, H. Hajieghrary, D. Kularatne, C.R. Heckman, E. Forgoston, I.B. Schwartz, P.A. Yecko, Small and Adrift with Self-Control: Using the Environment to Improve Autonomy, 17th International Symposium on Robotics Research (ISRR 2015), Sestri Levante, Italy, September 2015. [PDF]

  28. E. Forgoston, L.B. Shaw, I.B. Schwartz, A Framework for Inferring Unobserved Multistrain Epidemic Sub-Populations Using Synchronization Dynamics, Bulletin of Mathematical Biology 77 (7), 1437-1455 (2015). [PDF]

  29. J.A. Krumins, V. Krumins, E. Forgoston, L. Billings and W.H. van der Putten, Herbivory and Stoichiometric Feedbacks to Primary Production, PLoS ONE 10 (6): e0129775 (2015). [PDF]

  30. G. Nieddu, L. Billings and E. Forgoston, Analysis and Control of Pre-extinction Dynamics in Stochastic Populations, Bulletin of Mathematical Biology 76 (12), 3122-3137 (2014). [PDF]

  31. M. Michini, M.A. Hsieh, E. Forgoston and I.B. Schwartz, Experimental Validation of Robotic Manifold Tracking in Gyre-Like Flows, 2014 IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2014), Chicago, Illinois, pp. 2306-2011, September 2014. [PDF][Movie]

  32. M.A. Hsieh, K. Mallory, E. Forgoston and I.B. Schwartz, Distributed Allocation of Mobile Sensing Agents in Geophysical Flows, 2014 American Control Conference (ACC 2014), Portland, Oregon, pp. 165-171, June 2014. [PDF]

  33. M. Michini, M.A. Hsieh, E. Forgoston and I.B. Schwartz, Robotic Tracking of Coherent Structures in Flows, IEEE Transactions on Robotics 30 (3), 593-603 (2014).[PDF][Movie]

  34. K. Mallory, M.A. Hsieh, E. Forgoston and I.B. Schwartz, Distributed Allocation of Mobile Sensing Swarms in Gyre Flows, Nonlinear Processes in Geophysics 20 (5), 657-668 (2013). [PDF]

  35. M. Michini, K. Mallory, D. Larkin, M.A. Hsieh, E. Forgoston and P.A. Yecko, An Experimental Testbed for Multi-Robot Tracking of Manifolds and Coherent Structures in Flows, 6th Annual Dynamic Systems and Control Conference (DSCC 2013), Palo Alto, California, October 2013. [PDF]

  36. E. Forgoston and I.B. Schwartz, Predicting Unobserved Exposures from Seasonal Epidemic Data, Bulletin of Mathematical Biology 75 (9), 1450-1471 (2013). [PDF]

  37. L. Mier-y-Teran-Romero, E. Forgoston and I.B. Schwartz, Coherent Pattern Prediction in Swarms of Delay-Coupled Agents, IEEE Transactions on Robotics 28 (5), 1034-1044 (2012). [PDF]

  38. M.A. Hsieh, E. Forgoston, T.W. Mather and I.B. Schwartz, Robotic Manifold Tracking of Coherent Structures in Flows, 2012 IEEE International Conference on Robotics and Automation (ICRA 2012), St. Paul, Minnesota, pp. 4242-4247, May 2012. [PDF]

  39. I.B. Schwartz, E. Forgoston, S. Bianco and L.B. Shaw, Converging Towards the Optimal Path to Extinction, Journal of the Royal Society Interface 8 (65), 1699-1707 (2011). [PDF] [Supplement]

  40. E. Forgoston, L. Billings, P. Yecko and I.B. Schwartz, Set-based corral control in stochastic dynamical systems: Making almost invariant sets more invariant, Chaos: An Interdisciplinary Journal of Nonlinear Science 21, 013116 (2011). [PDF] [Movie]

  41. L. Mier-y-Teran-Romero, E. Forgoston and I.B. Schwartz, Noise, Bifurcations and Modeling of Interacting Particle Systems, 2011 IEEE/RSJ Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, California, pp. 3905-3910, September 2011. [PDF]

  42. I.B. Schwartz and E. Forgoston, Stochastic Model Reduction in Multiscale Environments, 7th European Nonlinear Dynamics Conference (ENOC 2011), Rome, Italy, July 2011.

  43. E. Forgoston, S. Bianco, L.B. Shaw and I.B. Schwartz, Maximal Sensitive Dependence and the Optimal Path to Epidemic Extinction, Bulletin of Mathematical Biology 73 (3), 495-514 (2011). [PDF] [Movie]

  44. E. Forgoston, L. Billings and I.B. Schwartz, Accurate Noise Projection for Reduced Stochastic Epidemic Models, Chaos: An Interdisciplinary Journal of Nonlinear Science 19, 043110 (2009). [PDF]

  45. E. Forgoston and I.B. Schwartz, Escape Rates in a Stochastic Environment with Multiple Scales, SIAM Journal on Applied Dynamical Systems 8, 1190-1217 (2009). [PDF]

  46. E. Forgoston and I.B. Schwartz, Delay Induced Instabilities in Self-Propelling Swarms, Physical Review E (Rapid Communication) 77, 035203(R) (2008). [PDF]

  47. E. Forgoston and A. Tumin, Three-Dimensional Wave Packets in a Compressible Boundary Layer, Physics of Fluids 18, 104103 (2006). [PDF]

  48. E. Forgoston, M. Viergutz and A. Tumin, Numerical and Asymptotical Study of Three-Dimensional Wave Packets in a Compressible Boundary Layer, 36th AIAA Fluid Dynamics Conference and Exhibit, San Francisco, California, AIAA Paper 2006-3223, June 2006. [PDF]

  49. E. Forgoston and A. Tumin, Initial-Value Problem for Three-Dimensional Disturbances in a Compressible Boundary Layer, Physics of Fluids 17, 084106 (2005). [PDF] [Supplement]

  50. E. Forgoston, A. Tumin and D.E. Ashpis, Distributed Blowing and Suction for the Purpose of Streak Control in a Boundary Layer Subjected to a Favorable Pressure Gradient, 4th AIAA Theoretical Fluid Mechanics Meeting, Toronto, Ontario, Canada, AIAA Paper 2005-5195, June 2005. [PDF]

  51. E. Forgoston and A. Tumin, Three-Dimensional Wave Packet in a Hypersonic Boundary Layer, 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, AIAA Paper 2005-0099, January 2005. [PDF]

  52. E. Forgoston and A. Tumin, Initial-Value Problem for Three-Dimensional Disturbances in a Hypersonic Boundary Layer Flow, 34th AIAA Fluid Dynamics Conference and Exhibit, Portland, Oregon, AIAA Paper 2004-2243, June 2004.