Bixiang Wang

Professor Bixiang Wang is a faculty member in the Department of Mathematics at New Mexico Tech. His research focuses on stochastic partial differential equations, fractional calculus, and infinite-dimensional dynamical systems with a particular emphasis on invariant measures, random attractors, and asymptotic behavior of solutions. He has taught numerous courses including Math 372 (Ordinary Differential Equations), Math 534 (Partial Differential Equations), and graduate-level topics in stochastic analysis.

His work explores complex systems such as reaction-diffusion equations, wave equations, and Navier-Stokes equations under stochastic influences. Key areas of interest include fractional equations driven by superlinear noise, large deviation principles, and convergence of invariant measures in unbounded domains. He actively contributes to the theoretical foundations of stochastic dynamics and their applications in nonlinear science.

Recent research trends highlight advancements in understanding long-term behavior of stochastic systems, with a focus on fractional operators and non-autonomous dynamics. His publications address critical challenges in global well-posedness, ergodicity, and bifurcation phenomena under random perturbations.