Current Members

Yongmin Kim 

• Knowledge Informed Machine Learning

  • Anomaly Detection 

Beomgyo Shin 

• • Knowledge Informed Machine Learning 

  • Domain Adaptation

  • Representation Learning for Anomaly Detection

Yu Jun Yang

• Self-supervised Learning

• Deep Domain Adaptation

Ho Yeon Lee 

• Domain Adaptation

• Anomaly Detection

Jahoon Jeong 

• Camouflaged Object Detection

• Computer Vision

• Vision-Language Model

Jaeyoen Yoon 

• Human Resources Planning

• Organizational Culture

• Natural Langauge Processing

Joonkyo Shim 

• Computer Vision

• Representation Learning

• Self-supervised Learning

Harin Lim

• Anomaly Detection 

• Semantic Segmentation

• Self-supervised Learning

Yujin Lee 

• Computer Vision with Deep Learning

• Self-supervised Learning

• Novelty Detection

Jung Hun Phee

• • Mathematical Theory of Machine Learning

  • Applied Mathematics with a focus on Harmonic analysis and Geometry

  • Stochastic Process

Joo Hoon Lee

• Generative Models

• Anomaly Detection

Jihun Han

• Data Shift in Machine Learning

• Anomaly Detection in Time Series Data

Seo Yoon Jang

• Computer Vision

• Open-Set Recognition

• Anomaly Detection

Jaehwi Jeon  

• eXplainable AI

• Federated Learning 

Ga Eun Kim 

• Computer Vision

• Object Detection

• Self-supervised Learning

Youngje Oh 

• Remaining Useful Life

• Knowledge informed Machine Learning

• Deep Domain Adaptation

Dong Hwan Kim 

• Anomaly Detection

• Self-supervised Learning

• Representation Learning

Yejin Kwon 

• Multi-Modal

• Anomaly Detection

• Remaining Useful Life 

Byung Joo Jeong

• Computer Vision

• Multi-Modal

• Anomaly Detection

Jiwon Kim 

• Vision Language Model

• Generative Models

Sewon Kim

• Computer Vision

• Generative Models 

• Multi-Modal 

Kyuwon Hong

• Medical AI

• Computer Vision