I am a Professor of Physics at Lycoming College. My research focuses on nonlinear and complex systems.
- 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
- the effect of taxation and redistribution on the distribution of wealth
- 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).