M.S. and Ph.D. Integrated Course
DGIST, Department of Electrical Engineering and Computer Science
Curriculum Vitae
Yooshin Kim
Industrial AI Security Researcher
I study how machine learning can improve the security, observability, and resilience of industrial control systems. My recent work focuses on anomaly detection, passive authentication, privacy-preserving analytics, and contextual digital twins for critical infrastructure.
Research Interests
- Industrial control system security
- Time-series anomaly detection
- Passive authentication
- Privacy-preserving machine learning
- Contextual digital twins
Education
B.S. in DGIST
Daegu Gyeongbuk Institute of Science and Technology, South Korea
Exchange Student
University of California, Berkeley
Publications
Awards
Preprints and Work in Progress