Misc.
Education, experience, projects, patents, teaching, and skills.
education
Ulsan National Institute of Science and Technology (UNIST)
Integrated M.S./Ph.D. Program, Graduate School of Artificial Intelligence (AIGS)
Dankook University
B.S., Department of Electronics and Electrical Engineering (EE)
experience
Ph.D. Candidate
Machine Intelligence and Information Theory Lab (MIIT), Ulsan National Institute of Science and Technology (UNIST)
Research Intern
Machine Learning Group, Berlin Institute for the Foundations of Learning and Data (BIFOLD), Technische Universität Berlin (TU Berlin)
Undergraduate Research Intern
Design Technology Laboratory (DTL), Yonsei University
Undergraduate Research Intern
SoC and Embedded System (SES), Dankook University
projects
AI-based Cone Beam CT Image Enhancement
Dongnam Institute of Radiological & Medical Sciences
Virtual Tactile Signal Generation Based on Multimodal Vision-Tactile AGI
IITP
RL Solution for High-Efficiency and Reliable Combustion System
Samyang Corp. & UNIST
Heterogeneous Home Appliance Data Analysis Framework
LG H&A
Identification Data Processing Technology for On-Site Police Use
National Research Foundation of Korea (NRF)
patents
Vision-language-tactile cognition platform for generating and rendering virtual tactile signals
KR 10-2026-0091113
Single modality model-based multimodal learning device and method thereof
KR 10-2025-0066240
Model-agnostic meta learning (MAML)-based domain adaptation algorithm to improve the effectiveness of developing biomedical artificial intelligence (AI) systems
KR 10-2024-0176258
Reinforcement Learning-based Optimization for Combustion Systems
KR 10-2023-0172208
teaching
Non-Parametric Bayesian Course
Teaching Assistant, Graduate School of Artificial Intelligence, UNIST
Meta & Multi-task Learning Course
Teaching Assistant, Graduate School of Artificial Intelligence, UNIST
2023 ROK Navy AI Specialist Program
Coding sessions on fundamentals of CNN & RNN, Republic of Korea Naval Academy
LG Electronics DX Intensive
Coding sessions on the Principles of Deep Learning, UNIST
LG Electronics DX Intensive
Coding sessions on the Principles of Deep Learning, UNIST
AI Novatus Academia
Coding sessions on the Basics of AI for Industrial Engineers, Changwon & Ulsan
AI Novatus Academia
Coding sessions on the Basics of AI for Industrial Engineers, Changwon & Ulsan
AI Novatus Academia
Coding sessions on the Basics of AI for Industrial Engineers, Changwon & Ulsan
skills
Programming Languages
Python, MATLAB (basic understanding), C/C++ (basic understanding)
Tools & Platforms
Linux, Bash, Git, Conda
Frameworks & Libraries
Pytorch, JAX (basic understanding), Scikit-Learn, Pandas, Huggingface
Mathematical Backgrounds
Linear Algebra, Probability & Statistics, Information Theory (basic understanding), Estimation Theory (basic understanding), Learning Theory (basic understanding)
Writing Tools
Latex, Markdown, Notion