Mengdi Wang
I am a Ph.D. candidate in Computer Science at Georgia Tech, advised by Prof. Bo Zhu. I received my Bachelor degree of Computer Science at Peking University in 2020, advised by Prof. Baoquan Chen. My research focuses on building scalable, GPU-accelerated systems for multiscale physical simulation.
My work spans the full simulation pipeline, from physical representation and interface modeling, to transport algorithms and large-scale solvers. I have developed methods for codimensional particle-based modeling and sub-grid interface tracking, explored hybrid particle-grid formulations for low-dissipation transport, and designed adaptive, matrix-free multigrid solvers on GPUs for large-scale simulation.
My long-term goal is to design unified simulation systems that achieve both physical fidelity and computational scalability, and to connect physics-based modeling with emerging AI-driven approaches to understanding and controlling complex physical processes.
Open-Source Projects
Publications
- ACM Transactions on Graphics (TOG), 2025
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- Journal of Computational Physics, 2025
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- ACM Transactions on Graphics (TOG), 2022
- ACM Transactions on Graphics (TOG), 2022
- ACM Transactions on Graphics (TOG), 2021
- arXiv preprint arXiv:2002.07096, 2020