- Education
2005: Ph.D., 경북대학교 정보통신학과
- Research Interests
Industrial AI
Industrial process optimization(sensor data, OCR)
Disaster decision-making (chemical process risk assessment, worker safety)
Facility safety
- Major Research Achievements
- Awards
표창장, 정보통신기획평가원, 2022
우수논문상, 한국전자통신학회 2025
- Research Keywords
Industrial AI
sLLM
Industrial process optimization
Disaster decision-making(chemical plant risk assessment and worker safety)
Facility safety
- Publication
J. Park, J. Cho, S. Han, and K. Kim, “OCR-augmented GPT for accurate text extraction in industrial environments,” IEEE Access, 2025, Article no. 3594682.
J. Lee, J. Park, J. Kim, K. Kim, and S. Han, “A local patch regression-based generative model for urban flood prediction in data-poor areas,” Expert Systems with Applications, vol. 280, 2025, Article no. 127489.
S. Lee, J. Kim, S. Kang, and K. Kim, “A method for determining the peak level of risk in root industry work environments using machine learning,” Journal of the Korea Institute of Electronic Communication Sciences, vol. 18, no. 1, 2024, pp.127–136.
J.-H. Park, B.-S. Kim, J.-W. Kang, S.-H. Han, and K.-J. Kim, “Real-time TVOC monitoring system and measurement analysis in workplaces of root industry,”Journal of Korean Society of Occupational and Environmental Hygiene, vol. 32, no. 4, 2022, pp. 425–434..