Mengdi Wang (王梦迪)
PhD Student
School of Interactive Computing, Georgia Institute of Technology
Email: mengdi.wang@gatech.edu
About Me
I am a PhD student 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 physics-based simulation. I develop high-performance GPU algorithms to achieve accurate physical simulations on consumer-grade hardware that previously required supercomputers, enabling advancements in scientific research, computer-aided engineering, and virtual reality applications. My work spans adaptive-resolution high-performance GPU algorithms, high-precision interface tracking, and novel low-dissipation numerical schemes.
Publications
Cirrus: Adaptive Hybrid Particle-Grid Flow Maps on GPU
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2025)
Mengdi Wang, Fan Feng, Junlin Li, Bo Zhu
Real-Time Knit Deformation and Rendering
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2025)
Tao Huang*, Haoyang Shi*, Mengdi Wang*, Yuxing Qiu, Yin Yang, Kui Wu
An interface tracking method with triangle edge cuts
Journal of Computational Physics (Volume 520, 1 January 2025, 113504)
Mengdi Wang, Matthew Cong, Bo Zhu
Hydrophobic and Hydrophilic Solid-Fluid Interaction
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2022)
Jinyuan Liu, Mengdi Wang, Fan Feng, Annie Tang, Qiqin Le, Bo Zhu
A Clebsch method for free-surface vortical flow simulation
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022)
Shiying Xiong, Zhecheng Wang, Mengdi Wang, Bo Zhu
A Moving Eulerian-Lagrangian Particle Method for Thin Film and Foam Simulation
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022)
Yitong Deng, Mengdi Wang, Xiangxin Kong, Shiying Xiong, Zangyueyang Xian, Bo Zhu
Thin-Film Smoothed Particle Hydrodynamics Fluid
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2021)
Mengdi Wang, Yitong Deng, Xiangxin Kong, Aditya H. Prasad, Shiying Xiong, Bo Zhu
Visual Data Analysis and Simulation Prediction for COVID-19
Published in arXiv preprint, 2020
Baoquan Chen, Mingyi Shi, Xingyu Ni, Liangwang Ruan, Hongda Jiang, Heyuan Yao, Mengdi Wang, Zhenhua Song, Qiang Zhou, Tong Ge.