About Me
I'm a master's student in Industrial Engineering at UNIST, focusing on anomaly detection, and domain-specific RAG applications in real problems.
Research Interests
- Retrieval-Augmented Generation (RAG) with domain knowledge and prompt engineering
- Industry-academia collaboration in manufacturing, maritime, and finance
- Robust anomaly detection for multivariate time-series under imbalance and noise
Milestones
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2018.03
– 2024.02
B.S. in Industrial Engineering
Ulsan National Institute of Science and Technology (UNIST)
Undergraduate research, student council, and mentoring activities
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2024.03
–
M.S. in Industrial Engineering
Ulsan National Institute of Science and Technology (UNIST)
Research on anomaly detection and maritime RAG systems
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2024.03
– 2024.08
LG Electronics · LQC Project
Developed anomaly detection models for multivariate time-series sensor data
Addressed data imbalance and label noise with domain-knowledge filtering
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2025.01
– 2025.06
SCSC Center Project · Human-Centered Carbon-Neutral Supply Chain
Maritime fuel consumption prediction with environmental resistance modeling
Multimodal fusion of AIS and weather data for sustainable shipping
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2025.05
– 2025.09
Maritime Chatbot System
Built RAG framework using LangChain to answer AIS data and maritime regulation queries
Designed hybrid prompting strategies and evaluation pipeline
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2025.09
–
RCA RAG for Maritime Accident Analysis (planned)
Building RAG-based maritime accident root cause analysis system
Current Work
- Maritime RAG system for AIS-based question answering
- Maritime Root Cause Analysis by RAG system
Notes for Collaboration
- Interested in interdisciplinary projects at the intersection of AI and domain expertise
- Open to collaboration on maritime, finance, and manufacturing applications of AI
- Actively exploring multimodal AI and communication