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Iowa State University – Ph.D. in Computational Physics.

• Awarded the ISU Dean Fellowship and ISU Research Excellence Award.
• GPA: 3.93 (4.0 scale).
• Reflective statement
  
• Advisors:
  Dr. Baskar Ganapathysubramanian
  Dr. Adarsh Krishnamurthy
• My research focuses on numerical methods and scientific machine learning for multiphysics simulations over complex geometries, bridging computational mechanics, PDE solvers, and HPC techniques.
• During my Ph.D., I worked on three main research directions:
  • Solving PDEs on Irregular Geometries: Developed scalable immersed methods including Finite Cell Method (FCM) and Shifted Boundary Method (SBM) for incompressible flow, heat transfer, and thin-shell problems.
  • Navier-Stokes and Heat Transfer Coupled Building Simulation: Designed CFD and heat transfer models for tree effects in urban environments, and developed data-driven correction models for building energy simulation (BES).
  • Non-Newtonian Cahn-Hilliard Navier-Stokes Solver: Extended CHNS models to non-Newtonian fluids using PyTorch neural networks trained on experimental data for constitutive modeling.
• Major Contributions:
  • Developed a massively parallel octree-based FCM framework for fluid-structure interaction.
  • Integrated SBM with vorticity-based adaptive mesh refinement (AMR), reducing mesh size by 7x.
  • Produced FlowBench, a large-scale CFD dataset with over 10,000 simulations for the SciML community.
  • Developed a semi-implicit Navier-Stokes solver achieving 2.5x speed-up over standard methods.
  • Applied machine learning for constitutive modeling of non-Newtonian flows, validated against experiments.
• Future Directions:
  • High-order basis functions for SBM and FCM to improve accuracy.
  • Physics-informed AMR for multiphysics systems (CHNS, Poisson–Nernst–Planck).
  • Residual-based adaptive error estimation for mesh refinement.
  • 3D non-Newtonian CHNS simulations integrating PyTorch-based constitutive models.

National Taiwan University — M.S. in Mechanical Engineering, Specialization in Thermofluids.

• GPA: 3.92 (4.3 scale).

National Cheng Kung University — B.S. in Mechanical Engineering.

• GPA: 3.8 (4.0 scale) (top 3% of class) .

• ISU Research Excellence Award , Iowa State University

• USACM Travel Award, U.S. Association for Computational Mechanics

• NATPA Poster Award, North America Taiwanese Professors’ Association

• Dean Fellowship, Iowa State University

• Outstanding Student Award for Academic Achievement, National Cheng Kung University (twice)

• Taipower Scholarship, Taiwan Power Company