Research

Research Summary

My current work involves Machine Learning to improve treatment and diagnosis of critically ill hospital patients. I am also interested in Bioinformatics, Natural Language Processing, Stochastically Switching Dynamical Systems, Complex Networks, Control, and Automated Assessment Generation.

Research Spotlight

In "Overcoming network resilience to synchronization through non-fast stochastic broadcasting" we studied the broadcasting control problem of a single discrete "leader" dynamical system attempting to synchronize an arbitrary network of followers through an intermittently broadcasted signal. We discovered a complex relationship between the switching period, eigenvalues of the laplacian of the follower network and the strength of the broadcasting signal.

Publications

A brief list of my recent publications is below. The full list is available on my Google Scholar page.

  • M. Porfiri, R. Jeter, and I. Belykh, "Windows of Opportunity for the Stability of Jump Linear Systems: Almost Sure Versus Moment Convergence," Automatica, Vol. 100, pp 323--329 (2019).
  • R. Jeter, M. Porfiri, and I. Belykh, "Overcoming network resilience to synchronization through non-fast stochastic broadcasting," Chaos, V. 28, 071104 (2018). (This paper was chosen as the Editor’s Pick)
  • R. Jeter, M. Porfiri, and I. Belykh, "Network synchronization through stochastic broadcasting," IEEE Control Systems Letters, V. 2, No 1, pp. 103-108 (2018).
  • I. Belykh, R. Jeter, and V. Belykh, "Foot force models of crowd dynamics on a wobbly bridge," Science Advances, V. 3, No 11, e1701512 (2017).
  • O. Golovneva, R. Jeter, I. Belykh, and M. Porfiri, "Windows of opportunity for synchronization in coupled stochastic maps," Physica D, V. 340, pp. 1-13 (2017).
  • I. Belykh, R. Jeter, and V. Belykh, "Bistable gaits and wobbling induced by pedestrian-bridge interactions," Chaos, V. 26, 116314 (2016).