VMR Simulation

Intelligent preprocessing for large-scale, multivariate, time-varying simulation data visualization, with ETRI

A collaborative project with ETRI (Electronics and Telecommunications Research Institute) developing immersive visualization and interaction technology for large-scale simulation data. The overall system lightens and processes massive simulation datasets through intelligent preprocessing, renders them in parallel across distributed GPU clusters for high-speed visualization in CAVE and HMD environments, and supports collaborative interaction with the visualized results across remote sites.

VMR project overview: CAVE/HMD visualization streamed from distributed rendering clusters
Project overview: CAVE/HMD visualization streamed from distributed rendering clusters.

My part of the project targets intelligent preprocessing for visualizing large-scale, heterogeneous, multivariate, time-varying simulation data, organized around three thrusts: (1) learning-based data representation and visualization, including implicit-neural-representation-based and 3D-Gaussian-based data encoding; (2) representation and visualization of heterogeneous, multi-level, unstructured data, using encodings that account for local data complexity and hierarchical structure; and (3) acceleration techniques for large-scale data visualization via GPU- and distributed-system-based parallel rendering.

Related publications: (Son et al., 2025) and (Jeon et al., 2026)

References

2026

  1. papers/esvr/ESVR_pipeline.png
    VIS
    Suemin Jeon, Youjin Kim, Jungwok Park, Kyungryun Lee, and Won-Ki Jeong
    IEEE Visualization Conference (VIS), 2026

2025

  1. papers/mc-inr/mc-inr.png
    VIS
    Hyunsoo Son, Jeonghyun Noh, Suemin Jeon, Chaoli Wang, and Won-Ki Jeong
    IEEE Visualization Conference (VIS), Short Paper, 2025