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

News

  • 2022/08/10 Prof. Ko's research paper with Prof. Eunshin Byon (U of Mich) entitled "Optimal budget allocation for stochastic simulation with importance sampling: exploration vs. replication" was published in IISE Transactions and was featured in the August issue of the Industrial and Systems Engineer (ISE) Magazine. (*download)

  • 2022/07/04 Prof. Ko's collaboration work with Prof. Hayong Shin (KAIST) and Stephane Barde (Samsung Electronics) entitled "General EM Algorithm for Fitting Non-Monotone Hazard Functions from Truncated and Censored Observations" was accepted for publication in Operations Research Letters.

  • 2022/04/04 Prof. Ko's collaboration work with Prof. Cho (Kangnam Univ.) entitled "Power- and QoS-Aware Job Assignment with Dynamic Speed Scaling for Cloud Data Center Computing" was accepted for publication in IEEE Access.

  • 2022/03/17 Prof. Cho (Kangnam Univ., alumni) was appointed a council member of INFORMS Telecommunications & Network Analytics section from 2022 to 2026.


  • 2022/08/10 고영명 교수, 미시건대 변은신 교수와 공동 연구한 논문 "Optimal budget allocation for stochastic simulation with importance sampling: exploration vs. replication" 이 IISE Transactions 저널에 출판되었으며, 미국 ISE Magazine 8월 호에 연구 특집 기사로 소개됨 (*download)

  • 2022/07/04 고영명 교수, KAIST 신하용 교수, 삼성전자 스테판 박사와 공동 연구한 "General EM Algorithm for Fitting Non-Monotone Hazard Functions from Truncated and Censored Observations" 논문이 경영과학 분야 우수 저널인 Operations Research Letters에 게재 승인됨

  • 2022/04/04 고영명 교수, 우리 연구실 졸업생 강남대 조용규 교수와 공동 연구한 "Power- and QoS-Aware Job Assignment with Dynamic Speed Scaling for Cloud Data Center Computing" 논문이 IEEE Access 저널에 게재 승인됨

  • 2022/03/17 우리 연구실 졸업생 강남대 조용규 교수가 산업공학, 경영과학 분야의 세계 최대 학회인 INFORMS내의 Telecommunications & Network Analytics section에서 자문위원(council member)로 임명되어 2022년부터 2026년까지 활동함.

* This “Research” section is provided for informational purposes only with permission of the Institute of Industrial and Systems Engineers from the August 2022 issue of ISE magazine, Copyright©2022. All rights reserved. www.iise.org/ISEMagazine.