Dr. Hung Tran

Research Interests

Differential Geometry, Minimal Surfaces, Einstein Structures, 4-D Manifolds, Ricci flow, Harnack inequalities, and Applications of Geometry in Math Bio and Data Science

Biography

From a small village in Vietnam, Hung Tran obtained his bachelor degree from Berea College in Kentucky and in 2014 received his PhD degree in mathematics from Cornell University. He was a visiting assistant professor at the University of California at Irvine before joining Texas Tech University in 2017. His research lies at the interface of geometry and analysis with potential applications to mathematical physics, math bio, and data science. In other words, he utilizes analytical techniques (aka PDE) to investigate geometric equilibrium configurations. His recent work focuses on generalized Willmore and minimal surfaces, Einstein structures, and spectral analysis.