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.
- Affiliation
- Department of Electrical Engineering and Computer Science, DGIST
- Program
- M.S. and Ph.D. Integrated Course
- Advisor
- Prof. Donghoon Shin
- yooshin0303@dgist.ac.kr
Education
B.S. in DGIST
Daegu Gyeongbuk Institute of Science and Technology, South Korea
Exchange Student
University of California, Berkeley
Publications
Awards
Current Themes
- Robust anomaly detection under operational drift
- Frictionless security mechanisms for industrial operators
- Interpretability for cyber-physical system monitoring
Preprints and Work in Progress