Industry
The Data Science Convergence Research Center conducts research to drive data-driven innovation across diverse industrial sectors, including manufacturing, logistics, and energy. By analyzing large-scale and complex data generated in industrial settings, we contribute to solving real-world challenges such as improving operational efficiency, predicting quality, detecting anomalies, forecasting demand, and safeguarding industrial data.
Research Area
  • Process Data Analysis and Quality Control
  • AI-based Image and Signal Anomaly Detection
  • Safety Monitoring and Operational Optimization in Shipping and Logistics
  • Energy Demand Forecasting
  • Secure Artificial Intelligence for Industrial Data Protection
People
Il-Youp Kwak
Associate Professor, Department of Applied Statistics
E-mail
ikwak2@cau.ac.kr
Yeong-hwa Kim
Professor, Department of Applied Statistics
E-mail
gogators@cau.ac.kr
Wonkuk Kim
Associate Professor, Department of Applied Statistics
E-mail
wkim@cau.ac.kr
Jae-Hyun Park
Professor, School of Computer Science and Engineering
E-mail
hyunie@cau.ac.kr
Junyoung Byun
Assistant Professor, Department of Applied Statistics
E-mail
junyoungb@cau.ac.kr
Jaewoo Lee
Associate professor, Department of Industrial Security
E-mail
jaewoolee@cau.ac.kr
Jaeheon Lee
Professor, Department of Applied Statistics
E-mail
jaeheon@cau.ac.kr
Changwon Lim
Professor, Department of Applied Statistics
E-mail
clim@cau.ac.kr