AI professor, builder, CAIO
Young Joon Lee
I build accountable AI systems for education, public institutions, and real-world decisions.
01 / Selected work
Systems built for real institutions.
All projects
education / 2025
Agentic RAG Technology for Intelligent Educational Platforms
Building a next-generation AI tutoring platform fusing Agentic RAG with Socratic dialogue — RISE Industry-Academia Joint Research with Saltlux, Yonsei University, and KAIST.
View projecteducation
Agentic AI-Based Intelligent Education Platform
Joint development of AI Professor System integrating Saltlux LUXIA LLM and Cheju Halla's education platformresearch
Development of a Pathology Database for an Internet Hospital Platform
AI-powered virtual physician for healthcare delivery with pathology database development and NLP applications02 / Current responsibilities
Teaching, institutional change, and applied research.
- 01
Associate Professor
Department of AI, Cheju Halla University
- 02
CAIO and VP for AX
Office of AI Innovation, Cheju Halla University
- 03
Center Director
Natural Language Research Center
- Agentic AI Platform
- RovoRoad Jeju RISE
- TIU AI Center
- STAI Workshop
03 / Recent activity
Notes from the field.
All writing- 01
Three MOUs in Six Days: Putting Tashkent's Industry Ties on Paper
Between September 4 and 9, Cheju Halla University signed non-binding cooperation MOUs with InFocus Labs, Mohirdev, and Nomadian, and met IT Park Uzbekistan about connecting AI students to real companies.
- 02
Cohort 3 Begins: An Evening Orientation at TIU
774 applicants, 45 seats, one evening in Room 411. The KOICA-TIU AI Training Center opened its third cohort in Tashkent with an orientation built around doing, not listening.
- 03
A Ladder with the Air Force on It
Fourteen institutions launched the A2CL council in Incheon, pairing Jeju's NewSpace industry with Incheon's aircraft maintenance base. The rung I keep pointing at is the one nobody expects.
04 / Research
Recent publications.
Publication archive- 01
PDTune: Database Parameter Dependency-Aware Optimization
KIISE Transactions on Computing Practices (KTCP)
- 02
Prediction of Road Maintenance Intervention and Assessment of Influencing Factors with ML-SHAP: Focusing on Road Traffic Conditions in Jeju
Journal of Korean Society of Transportation
- 03
A Case Study in Jeju Island of Automated Pothole Management Framework
International Journal of Highway Engineering