Seon-Ho Yoo

Industrial AI Researcher

Korea University
Industrial & Management Engineering

Reliable Machine Learning & Optimization-aware AI

I build trustworthy and efficient AI methods for structured data and operational decision-making, spanning anomaly detection, robust predictive modeling, and optimization-informed learning for real-world industrial systems.

Portrait of Seon-Ho Yoo
About

About

I am Seon-Ho Yoo, an industrial AI researcher at Korea University focusing on reliable machine learning, anomaly detection, and optimization-informed multi-agent AI for real-world industrial systems.

My research aims to develop trustworthy and efficient AI methods for structured data and operational decision-making problems.

  • Anomaly Detection & Robust Predictive Modeling
  • Optimization-aware Learning & Decision-making
  • AI for Operations & Industrial Systems
  • Data-centric Methods for Real-world Applications