NEURAL RENDERING · SIMULATION · GENERATIVE MODELS
Making autonomous-driving simulation realistic enough to train and trust.
I'm a final-year undergraduate at Kookmin University, majoring in Automotive Engineering with a minor in Artificial Intelligence. Beyond autonomous driving, I'm interested in neural rendering and simulation, and in generative and world models for Physical AI. I will begin a corporate-sponsored master's program at Hyundai Motor Company, researching verification environments for autonomous driving.
Neural rendering & simulation — Turning real sensor data into simulators fast enough to train in.
Generative models — Diffusion-based domain adaptation that narrows the Sim-to-Real gap.
A Unity simulator for 1/10-scale autonomous-driving cars, built to validate models in a faithful competition environment. Students enter autonomous-driving competitions but have no simulator that reproduces the competition setting — Nano-sim closes that gap with model validation, data generation, and closed-loop training, inspired by F1TENTH.
2026.01 — 2026.02 Research Intern — Vehicle Intelligence Lab, Seoul National University
2025.12 — 2026.01 Undergraduate Research Intern — Kookmin University
2024.06 — 2025.11 Control Team — KUUVe · Kookmin University Unmanned Vehicle
2025.10 2025 International Robot Contest — 3rd place
2025.09 HL FMA aMAP Innovator Championship — Encouragement
2025.05 Autonomous Driving Robot Race — 2nd place
2024.12 AutoRace, COSS — 3rd place
2024.10 2024 International Robot Contest — 2nd place