Heng Xiao, Ph.D.
Data-Driven Turbulence Modeling
Leverage data assimilation and machine learning techniques to quantify and reduce the uncertainties in RANS models for turbulent flows. Read More
Use machine learning techniques to develop generalized transition prediction models consistent with the underlying physics of flow instability. Read More
Develop deep-learning and data-assimilation based approaches to upscale core-scale rock and flow properties to the field scale. Read More
Advance the understanding of bed-form dynamics in sediment transport by using particle-resolving simulations. Read More