About Me

Hi, I'm Sieun 시은!

I'm a PhD student in Electrical and Computer Engineering at the University of Michigan, advised by Prof. Junyi Zhu in the SIX Lab. My research focuses on designing interfaces that semantically interpret human actions through multimodal sensory data and developing digital assistance systems that respond to human intent without requiring explicit input.

Before Michigan, I completed my undergraduate studies at Seoul National University, double-majoring in Computer Science and Engineering and Chemical and Biological Engineering, and worked with Prof. Youngki Lee (SNU), Prof. Juho Kim (KAIST), and Prof. Jon Froehlich (UW) on projects spanning NeRF, 3D Gaussian Splatting, feedback systems for online gig work, and AR language learning.

News

  • Aug 2025

    Started my PhD journey in ECE at the University of Michigan!

Publications

MoXaRt: Audio-Visual Object-Guided Sound Interaction for XR teaser

CHI 2026

MoXaRt: Audio-Visual Object-Guided Sound Interaction for XR

Tianyu Xu, Sieun Kim, Qianhui Zheng, Ruoyu Xu, Tejasvi Ravi, Anuva Kulkarni, Katrina Passarella-Ward, Junyi Zhu, Adarsh Kowdle

PDF DOI
Designing an Educational Tool to Improve Understanding and Planning in Chemistry Laboratory Courses teaser

CHI EA 2025

Designing an Educational Tool to Improve Understanding and Planning in Chemistry Laboratory Courses

Sieun Kim

🏆 Student Research Competition 2nd Place

PDF DOI
Embodied AR Language Learning Through Everyday Object Interactions: A Demonstration of EARLL teaser

UIST EA 2024

Embodied AR Language Learning Through Everyday Object Interactions: A Demonstration of EARLL

Jaewook Lee*, Sieun Kim*, Minji Park, Catherine Rasgaitis, Jon E. Froehlich

* = equal contribution

PDF DOI
Color-cued Efficient Densification Method for 3D Gaussian Splatting teaser

CVPR Workshops 2024

Color-cued Efficient Densification Method for 3D Gaussian Splatting

Sieun Kim, Kyungjin Lee, Youngki Lee

PDF DOI