HongKun Zhang
Professor, Math and Statistics, College of Natural Sciences

Research Interests
Dynamical systems and ergodic theory; Deep learning using Graph Neural Network; Deep learning on Dynamical Systems; Financial Mathematics
Prof. Hongkun Zhang is an expert in the field of hyperbolic dynamical systems including chaotic billiards. One major trend of Modern Dynamical Systems is to investigate the stochastic properties for stochastic processes generated by chaotic dynamical systems, including the decay rates of correlations, Central Limit Theory and other probability limiting theorems. Her research field also extends to general stochastic processes and probability theory, with applications in financial mathematics using SDE and statistics, risk management using Extreme Value Theory, networks using stochastic analysis.
Most recently, her interest has shift to deep leaning using Graph Neural Networks, as well as deep learning of dynamical systems.