Yushan Han 韩雨杉

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about

I’m currently a Physics Engineer at Epic Games developing the Chaos Flesh system in Unreal Engine that supports high fidelity human soft tissue simulations. I obtained my PhD in Applied Mathematics at UCLA, under the supervision of Prof. Joseph Teran. My primary research focus lies at the intersection of physics-based simulation and machine learning, with a special emphasis on the simulation of human soft tissues. My recent work includes:

• a comprehensive neural network model for efficient musculoskeletal-driven skin deformation of animated characters
• a dynamic mode capture paradigm for augmenting secondary effects (e.g. inertia) on top of our network
• a robust meshing algorithm for generating volumetric hexahedron meshes from self-intersecting surfaces
• position-based nonlinear Gauss-Seidel approach for quasistatic simulation as training data
• fast ML levelset for cloth simulations.

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