Portrait of Han Shao
Han Shao
Graphics Researcher, miHoYo Co., Ltd.
han.shao[at]mihoyo.com
Ph.D., King Abdullah University of Science and Technology
han.shao[at]alumni.kaust.edu.sa

Han Shao is a graphics researcher at miHoYo. He develops tools that help artists create and refine high-quality visual effects more efficiently.

He received his Ph.D. in Applied Mathematics and Computational Science (AMCS) from King Abdullah University of Science and Technology (KAUST) in December 2022. His doctoral research was supervised by Professor Dominik L. Michels and focused on accelerating physically based simulations through mathematical modeling, numerical methods, and data-driven approaches. He also holds an M.Sc. in Mechanical Engineering from KAUST and a B.Sc. in Theoretical and Applied Mechanics from the University of Science and Technology of China (USTC).

Education Background

King Abdullah University of Science and Technology
2017.01 - 2022.12
Ph.D. Applied Mathematics and Computational Science
King Abdullah University of Science and Technology
2014.08 - 2015.12
M.Sc. Mechanical Engineering
University of Science and Technology of China
2010.08 - 2014.06
B.Sc. Theoretical and Applied Mechanics

News

Recent Publications

A Current Loop Model for the Fast Simulation of Ferrofluids
Han Shao , Libo Huang, Dominik L. Michels
IEEE Transactions on Visualization and Computer Graphics, 2022
A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for the Large-Scale Simulation of Incompressible Flow
Han Shao , Libo Huang, Dominik L. Michels
ACM Transactions on Graphics (SIGGRAPH 2022)
Accurately Solving Rod Dynamics with Graph Learning
Han Shao , Tassilo Kugelstadt, Torsten Hädric, Wojciech Pałubicki, Jan Bender, Sören Pir, Dominik L. Michels
Advances in Neural Information Processing Systems, 2021
Machine Learning-Evolutionary Algorithm Enabled Design for 4D-Printed Active Composite Structures
Xiaohao Sun , Liang Yue, Luxia Yu, Han Shao, Xirui Peng, Kun Zhou, Frédéric Demoly, Ruike Zhao, H. Jerry Qi
Advanced Functional Materials, 2021