Dr. Epaminondas Rosa Jr.

Professor

Physics

Office

Moulton Hall - MLT 302

Office Hours

By appointment

Office Phone

(309) 438-5193office
phone

erosa@ilstu.eduemail

Website

https://about.illinoisstate.edu/ero... website

About
Education
Research

Current Courses

108College Physics I

299Independent Honor Study

290Research In Physics

108College Physics I

390Computational Research In Physics

286Honors Undergraduate Research II

299Independent Honor Study

284Quantum Mechanics I

290Research In Physics

Teaching Interests & Areas

Dr. Rosa's teaching experience includes Physics for Engineers, Atoms to Galaxies, Physics I, Thermal Physics, Statistical Mechanics, Quantum Mechanics, Nonlinear Dynamics and Chaos Theory, and Computational Neuroscience.

Research Interests & Areas

Dr. Rosa's research work is in the field of computational neuroscience and nonlinear dynamics, with special emphasis on synchronization of complex systems. A particular complex system of interest is networks of neuron. Synchronous neurons are critical in mechanisms associated with rhythmic motions such as mastication, breathing, walking, swimming and flying. Abnormal synchrony has been associated with neurological disorders such as epilepsy, Parkinson's disease, and depression, and in many processes associated with circadian rhythms. Synchronization is also directly related to memory and information processing.

Ph D Chemical-Physics

University of Minnesota

MS Physics

Federal University of Parana

Brazil

BE Civil Engineering

Federal University of Parana

Brazil

Journal Article

E. Rosa, Jr., Q.M. Skilling, and W. Stein, "Effects of Reciprocal Inhibitory Coupling in Model Neurons," Biosystems 127, 73 (2015).

Follmann, R., Rosa, E. & Stein, W. (2015). Dynamics of signal propagation and collision in axons. Phys. Rev. E 92, 032707. http://dx.doi.org/10.1103/PhysRevE.92.032707

Rosa, E. Jr., Skilling, Q.M. & Stein, W.* (2014) Effects of Reciprocal Inhibitory Coupling in Model Neurons. Biosystems. 127:73-83.

Presentations

Reservoir Computing: Structure analysis and dynamics predictability, APS March Meeting 2022, Volume 67, Number 3, March 2022, Chicago, IL.

G. Katuri, E. Rosa, and R. Follmann. 2022. Detecting synchronization in brain activity. In Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB '22). Association for Computing Machinery, New York, NY, USA, Article 66, 1. https://doi.org/10.1145/3535508.3545106

Using Reservoir Computing for Predicting Slow and Fast Neuronal Dynamics. SIAM Conference on Applications of Dynamical Systems. Society for Industrial and Applied Mathematics. May 2021

Grants & Contracts

Mathematical Modeling and Experimental Work on the Stomatogastric Nervous System of the Crab Cancer Borealis to study sensory-motor interactions.. Cross-Disciplinary Grant Development Program. Illinois State University. (2013)