Research Topics
Research Direction
We integrate Engineering Domain Knowledge into Artificial Intelligence
to enable better analysis and understanding of engineering systems
with enhanced robustness even with a limited amount of industrial data
우리는 공학적 도메인 지식을 인공지능에 융합하여
제한된 산업 데이터를 활용 하더라도 인공지능 모델의 향상된 강건성을 달성하고
보다 나은 공학 시스템에 대한 분석과 이해를 돕고자 합니다.
Research Topics
AI-driven PHM & NDT
AI-driven PHM & NDT
Knowledge Embedded AI Model
Self-supervised Training of AI Model
Domain Adaptation
AI-driven Virtual Metrology
AI-driven Virtual Metrology
Virtual Metrology for Product Quality & System Performance
Un-/Self-supervised Vision Inspection
Intelligent Manufacturing by Virtual Sensing
AI-enabled Signal Processing
AI-enabled Signal Processing
Signal Noise Reduction & Quality Enhancement
Physics Information Extraction from Complex Signals
AI-enabled Signal Processing Acceleration