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School of Information Technology

Dr. Rosangela Follmann

Assistant Professor of Computer Science
Office
WIH Williams Hall 17g
Office Phone
(309) 438-8342office
phone
Email
rfollma@ilstu.eduemail
Website
https://about.illinoisstate.edu/rfo... website
  • About
  • Awards & Honors
  • Selected Research

Biography

Rosangela Follmann is an Assistant Professor in the School of Information Technology. She received her Ph.D in Applied Computing from the National Institute for Space Research, Brazil. Before joining School of IT she did two years of postdoctoral research in the Department of Physics at Northwestern University, and two more years as postdoc at the School of Biological Sciences at ISU. 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

IT 386.001 Introduction to Networking and Parallel and Distributed Computing

IT 386.002 Introduction to Networking and Parallel and Distributed Computing

IT 388.001 Parallel Processing

IT 487.001 Parallel Processing

Research Interests & Areas

Computational Neuroscience,
Reservoir Computing/Machine learning,
High Performance Computing/Parallel processing,
Data analysis

School of IT Faculty Research Award

School of IT
2024

CAST Outstanding Researcher Award (Pre-tenure category)

College of Applied Science and Technology
2023

University Research Initiative Award

Illinois State University
2023

Grants and Contracts

Computational framework to study temperature induced seizures
Rosangela Follmann.
URG, College of Applied Science and Technology. July 2024 - June 2025
Development of a framework to identify brain activity patterns during task execution
Rosangela Follmann.
SRG, School of Information Technology. July 2023 - June 2024
Development of a framework to identify brain activity patterns during task execution
Rosangela Follmann.
URG, College of Applied Science and Technology. July 2023 - June 2024
Approach for early detection of seizures using EEG data
Rosangela Follmann.
URG, College of Science and Applied Technology. July 2022 - May 2023
Hybrid Approach for Improved Performance in Machine Learning
Rosangela Follmann.
URG, College of Applied Science and Technology. 2021 - 2022

Conference Proceeding

Phase Synchronization in Brain Collective Dynamics
Rosangela Follmann, Gangadhar Katuri, Epaminondas Rosa.
Association for Computing Machinery, 7, (2023), https://doi.org/10.1145/3584371.3613012

Presentations

Photosensitivity and Neuronal Synchronization
Twinkle Jaswal, Rosangela Follmann, Epaminondas Rosa.
SIAM Conference on Applications of Dynamical Systems, Denver, CO, May, 2025
Temperature Effects on Seizures
Rosangela Follmann.
SIAM Conference on Applications of Dynamical Systems, Denver, CO, May, 2025
COMPUTATIONAL AND EXPERIMENTAL TRANSITIONS IN NEURONAL STATES
Rosangela Follmann.
Applied Mathematics and Computational Sciences Seminar Series, Iowa City, IA, April 15, 2024
Phase Synchronization in Brain Collective Dynamics
Rosangela Follmann.
14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB), Houston, TX, September, 2023
Data Driven Model Applied to Neuronal Dynamics
Rosangela Follmann.
SIAM Conference on Applications of Dynamical Systems, Portland, OR, May, 2023
Detecting synchronization in brain activity
Gangadhar Katuri, Epaminondas Rosa, Rosangela Follmann.
BCB '22: Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, IL, August, 2022
Reservoir Computing: Structure analysis and dynamics predictability
Rosangela Follmann, Cassie Mcginnis, Gangadhar Katuri, Epaminondas Rosa.
APS March Meeting 2022, Chicago, IL, March, 2022
Using Reservoir Computing for Predicting Slow and Fast Neuronal Dynamics 
Rosangela Follmann, Epaminondas Rosa.
SIAM Conference on Applications of Dynamical Systems, Online, May, 2021