Current Members

Ziqi Guo (co-advising) at SUNY

• Domain Adaptation

• Sensor-based Analytics

Jun Kataoka  (co-advising) at SUNY

• Generative Adversarial Networks

• Deep Domain Adaptation

• Bayesian Machine Learning

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

• TBD

Jahoon Jeong 

• Camouflaged Object Detection

• Computer Vision

• TBD

Jaeyoen Yoon 

• Human Resources Planning

• Organizational Culture

• Natural Langauge Processing

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

• Computer Vision

• 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

Joonkyo Shim 

• Computer Vision

• Representation Learning

• Self-supervised Learning

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

Sewon Kim

• Computer Vision

• Domain Adaptation