Welcome to LST Lab.

Welcome to Stochastic Systems Lab. in the Department of Industrial and Management Engineering at POSTECH.

Our mission is to develop efficient and effective methodologies for the analysis and optimization of large-scale stochastic systems. Research topics include but are not limited to

  • Queueing Theory and Stochastic Processes,

  • Stochastic Simulation,

  • Applied Statistics and Machine Learning for Spatio-Temporal Prediction,

  • Reliability and Data-Driven Quality Control,

  • Forecasting Energy Demand-Supply and Operations of Energy Storage Systems.

POSTECH 산업경영공학과 확률시스템 연구실(LST Lab.)에 오신 것을 환영합니다.

LST Lab.에서는 불확실성을 내포하고 있는 시스템의 성능분석 및 최적운영에 관한 연구를 수행하고 있습니다. 연구주제는 다음과 같습니다.

  • 대기이론, 확률과정

  • 시뮬레이션

  • 시공간 데이터 예측을 위한 응용통계 및 기계학습

  • 신뢰성 및 데이터 기반 품질 관리

  • 에너지 수급 예측 및 에너지 저장 장치 운영 최적화


  • 2021/05/21 Prof. Ko's collaboration work with Shuoran Li (U of Pitt) and Prof. Eunshin Byon (U of Mich) entitled "Nonparametric Importance Sampling for Wind Turbine Analysis with Stochastic Computer Models" was accepted for publication in Annals of Applied Statistics.

  • 2021/03/02 Dr. Cho was appointed assistant professor of industrial data science at Kangnam University.