Dr. Epaminondas Rosa Jr.
- About
- Education
- Research
Current Courses
108.001College Physics I
108.002College Physics I
108.003College Physics I
108.004College Physics I
390.010Computational Research In Physics
299.010Independent Honor Study
284.001Quantum Mechanics I
290.010Research In Physics
371.001Biophysics of Neurological Systems
472.001Biophysics of Neurological Systems
371.001Biophysics of Neurological Systems
471.001Biophysics of Neurological Systems
108.001College Physics I
108.002College Physics I
108.003College Physics I
108.004College Physics I
108.005College Physics I
108.006College Physics I
299.010Independent Honor Study
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
MS Physics
BE Civil Engineering
Journal Article
Gonzalez, J., Follmann, R., Rosa, E. and Stein, W., 2023. Computational and experimental modulation of a noisy chaotic neuronal system. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(3).
Z Mobille, R Follmann, AVidal-Gadea, E Rosa, Quantitative description of neuronal calcium dynamics in C. elegans’ thermoreception, Biosystems, Vol 223, (2023) 104814, ISSN 0303-2647, https://doi.org/10.1016/j.biosystems.2022.104814.
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