Mathematics

Yevgeniy Kovchegov works in the field of probability and stochastic processes. His research interests include mathematics of data science, mathematical models of statistical mechanics, interacting particle systems, models of mathematical biology, stochastic self-similarity, and quantum computation. Kovchegov's work is centered around the following topics: random self-similar trees; extending the probabilistic coupling method; aggregate path coupling; orthogonal polynomials in stochastic processes, probability and statistics; mixing times; quantum walks and quantum computation; chaos and fractals; coalescent processes; applications of probability theory in biological systems, geomorphology, computer and wireless networks, network coding, and environmental sciences.