Sungkyunkwan University
B.S. studies in Computer Education · Undergraduate research in 3D Gaussian Splatting and novel-view synthesis
Education
Research · Software Engineering
Juhwan Heo
Exploring efficient machine learning systems, computer vision, and software that solves real problems.
Computer Education undergraduate at Sungkyunkwan University. My work spans 3D Gaussian Splatting research, mobile rendering optimization, and hands-on engineering projects.
01 / About
Building at the intersection of research and systems.
I study Computer Education at Sungkyunkwan University, with a focus on computer systems and applied machine learning. I am especially interested in inference optimization, edge AI, and performance-aware software development.
I enjoy translating research ideas into reproducible implementations and useful products—from novel-view synthesis experiments to tools for working with lecture videos.
02 / Background
Education & Experience
ETRI
Summer research internship (July–August 2026)
Research publication ↗
“Comparative Analysis of Mobile Execution Optimization Methods for Static 3D Gaussian Splatting” · Korean Institute of Broadcast and Media Engineers (KIBME), Summer Conference 2026
Capstone Design Competition
Silver Prize (2nd place) · Sungkyunkwan University
03 / Selected work
Projects
A selection of research and software projects, with source code and live demos where available.
Developer Tools
Lecture Slide Extractor GUI
Desktop app for extracting slides from lecture videos and editing selected frames.
View repository ↗ Video ProcessingSlide Extractor
Automated slide extraction from recorded lectures.
View repository ↗ Hackathon · WebSnapLink
Photo-based shared memories and recommendations. Source and presentation materials; the live application is not publicly linked here.
View repository ↗ PresentationSnapLink — Slides
Project pitch and product walkthrough.
View slides ↗ Education · WebAI & Web Game Education
Interactive activities and student-built learning projects.
View repository ↗ Research · AI EthicsLLM Hiring Fairness Reanalysis
A study project examining fairness in LLM-assisted hiring evaluations.
View repository ↗04 / Focus
Technical Interests
ML & Vision
3D Gaussian Splatting, novel-view synthesis, neural rendering, inference optimization
Systems
Computer architecture, ML systems, edge AI, performance measurement
Engineering
Python, PyTorch, Linux, developer tooling, web applications
05 / Contact
Get in touch.
Open to conversations about research, software engineering, and collaboration.