Research Interests

Research Interests

My fields of research include multi-physics simulation, fluid-solid interaction, reduced order model and data analysis, applications of machine learning on engineering problems.

Selected Projects

    Vascular Model Processing

    Preprocessing steps for the blood flow simulation. Mesh file is downloaded from open-source database Vascular Model Repository.

    Fluid-solid Coupling by Neural Networks

    Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable, and accurate.

    Wall Shear Stress Analysis for Blood Vessel’s Inner Surface

    To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.