I am a Professor of Physics at Lycoming College. My research focuses on nonlinear and complex systems.

**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
- Dynamics on networks

- Economics
- the effect of taxation and redistribution on the distribution of wealth

**Recent Publications**

- C. W. Kulp and V. Pagonis,
*Classical Mechanics: A Computational Approach*, CRC Press (2020). - 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). - 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). - C. W. Kulp, L. Zunino, T. Osborne, and B. Zawadzki,
*Using missing ordinal patterns to detect nonlinearity in time series data*, Physical Review E**96**022218 (2017). - L. Zunino and C. W. Kulp,
*Detecting nonlinearity in short and noisy time series using the permutation entropy*, Physics Letters A**381**, 3627–3635 (2017).

**Media**

- State of the Universe Episode 1
- State of the Universe Episode 56
- State of the Universe Episode 60