Rosangela Follmann

Assistant Professor

Ctr for Math Sci & Technology

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About
Research

Biography

Rosangela Follmann is an Assistant Professor in the School of Information Technology. She has a Ph.D in Applied Computing from the National Institute for Space Research, Brazil and a BS. In Mathematics from University of Santa Maria, Brazil. From 2012 to 2014 she was a postdoctoral researcher at the Motter Group in the Department of Physics at Northwestern University, and subsequently joined Dr. Wolfgang Stein’s lab at the School of Biological Sciences, ISU as a postdoctoral researcher. From 2018 to 2020 she worked as a lecturer at the School of Information Technology. Much of her work has been on developing methods and algorithms for data analysis, information processing, pattern recognition, and prediction of behaviors in the fields of nonlinear dynamics and neuroscience.

Current Courses

386.001Introduction to Networking and Parallel and Distributed Computing

351.001Practical Cryptography and Trusted Systems

353.002Web Development Technologies

Research Interests & Areas

Computational neuroscience, reservoir computing, data analysis and High Performance Computing/Parallel processing.

Journal Article

Rutherford, G., Mobille, Z., Brandt-Trainer, J., Follmann, R., & Rosa, E. Analog implementation of a Hodgkin-Huxley model neuron. AMERICAN JOURNAL OF PHYSICS 88.11 (2020): 918-923.

Burek, M., Follmann , R., & Rosa, E. Temperature effects on neuronal firing rates and tonic-to-bursting transitions. BIOSYSTEMS 180 (2019): 1-6.

Follmann , R., & Rosa, Epaminondas, Jr.. Predicting slow and fast neuronal dynamics with machine learning. CHAOS 29.11 (2019)

Follmann , R., & Rosa, E. Predicting slow and fast neuronal dynamics with machine learning. CHAOS 29.11 (2019)

Follmann , R., Goldsmith, C., & Stein, W. Multimodal sensory information is represented by a combinatorial code in a sensorimotor system. PLOS BIOLOGY 16.10 (2018)