Education
- Ph.D. in Aerospace Engineering and Scientific Computing, University of Michigan, Ann Arbor, 2020 (expected)
- Operator-theoretic learning and decomposition of non-linear dynamics
- Advisor: Karthik Duraisamy
- M.S.E. in Mechanical Engineering, University of Michigan, Ann Arbor, 2015
- Role of bulk viscosity in freely decaying compressible isotropic turbulence
- Advisor: Eric Johnsen
- B.S. in Applied Mathematics, Beihang University, 2013
- B.E. in Aerospace Engineering, Beihang University, 2013
- Effect of combustion heat release on compressible turbulent boundary layer
- Advisor: Chun-hian Lee
Research Interests
My research interest lies in computational turbulence & machine learning / deep learning with a combination of high-fidelity simulation for compressible turbulence with high performance computing, theoretical & computational understanding on data-driven predictive reduced-order-modeling (ROM) for high-dimensional nonlinear dynamical systems, and physics-informed data-driven model with uncertainty quantification. Such applications include
- High-fidelity simulation of compressible turbulence
- Reduced order modeling (ROM) with uncertainty quantification (UQ)
- Modal analysis on multi-scale problem in fluid dynamics
- Optimal control of nonlinear dynamical system using Koopman operator
- Physics informed deep learning