Mengdi Wang

mengdi.jpg

王梦迪 | Ph.D. candidate

Georgia Institute of Technology

mengdi.wang@gatech.edu

Google Scholar

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

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Publications

  1. Mengdi Wang, Fan Feng, Junlin Li, and Bo Zhu
    ACM Transactions on Graphics (TOG), 2025
  2. Tao Huang, Haoyang Shi, Mengdi Wang, Yuxing Qiu, Yin Yang, and Kui Wu
    ACM Transactions on Graphics (TOG), 2025
  3. Mengdi Wang, Matthew Cong, and Bo Zhu
    Journal of Computational Physics, 2025
  4. Jinyuan Liu, Mengdi Wang, Fan Feng, Annie Tang, Qiqin Le, and Bo Zhu
    ACM Transactions on Graphics, 2022
  5. Shiying Xiong, Zhecheng Wang, Mengdi Wang, and Bo Zhu
    ACM Transactions on Graphics (TOG), 2022
  6. Yitong Deng, Mengdi Wang, Xiangxin Kong, Shiying Xiong, Zangyueyang Xian, and Bo Zhu
    ACM Transactions on Graphics (TOG), 2022
  7. Mengdi Wang, Yitong Deng, Xiangxin Kong, Aditya H Prasad, Shiying Xiong, and Bo Zhu
    ACM Transactions on Graphics (TOG), 2021
  8. Baoquan Chen, Mingyi Shi, Xingyu Ni, Liangwang Ruan, Hongda Jiang, Heyuan Yao, Mengdi Wang, Zhenhua Song, Qiang Zhou, and Tong Ge
    arXiv preprint arXiv:2002.07096, 2020