Science

I am the John P. Graham Teaching Professor of Physics at Lycoming College. I teach physics at all levels, machine learning, data analysis, and mathematical modeling. My research focuses on nonlinear and complex systems. Check my Google Scholar profile for more information.

Research Interests

  • Nonlinear Time Series Analysis
    • Ordinal Symbolization (Bandt-Pompe Methodology)
    • Ordinal Transition Networks
    • Distinguishing between different dynamical behaviors
  • Machine Learning
    • Using ML for time series characterization and prediction
    • Using ML to solve problems in the natural and social sciences
  • Complex Systems
    • Using ML to design intelligent agent-based models
    • Opinion Dynamics
  • Economics
    • the effect of taxation and redistribution on the distribution of wealth
  • Networks
    • What can network representations of time series tells us about the dynamics of the time series?

Recent Articles

  1. C. W. Kulp, M. Kurtz, C. Hunt, and M. Velardi, The distribution of wealth: an agent-based approach to examine the effect of estate taxation, skill inheritance, and the Carnegie Effect, Journal of Economic Interaction and Coordination, 17, 4 (2022).
  2. C. W. Kulp, M. Kurtz, N. Wilston, and L. Quigley, The effect of various tax and redistribution models on the Gini coefficient of simple exchange games, Chaos 29, 083118 (2019).
  3. A. N. Pisarchik, G. Heurtas, and C. W. Kulp, Statistical analysis of symbolic dynamics in weakly coupled chaotic oscillators, Communications in Nonlinear Science and Numerical Simulation 62, 134–145 (2018). 

Media

Textbooks

chris[at]chriskulp[dot]com
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