Addison Schwamb - Electrical Engineering PhD Candidate with a passion for Computational Neuroscience

Research

Papers from my research work, in reverse chronological order

Quantitative EEG Trends Surrounding Cardiopulmonary Arrests in Children: Insights for Prevention and Prognosis

Analysis of ways in which electrophysiological activity in the brain changes during cardiopulmonary arrest

Data-Driven Modeling of Neural Dynamics from EEG to Track Physiological Changes

An extension of the Mesoscale Individualized Neural Dynamics (MINDy) model to track changes in children experiencing cardiac arrest. (Accepted at the IEEE Engineering in Medicine and Biology Conference 2024)

Implementation of an Open-Loop Turn Circle Intercept Controller

Implementation of control policies designed by an evolutionary algorithm with wheeled robots. (Presented at the IEEE Conference on Control Technology and Applications 2019)