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
2023/02/08 Seung Min Baik and Prof. Ko's work entitled "QoS-aware energy-efficient workload routing and server speed control policy in data centers: a robust queueing theoretic approach" was accepted for publication in IISE Transactions.
2022/12/12 Jongwon Kim, Eunbi Park, and Prof. Ko received "Outstanding Paper Award" for their paper entitled "A probabilistic fish growth model for a smart aquaculture system" at the ICONI 2022 conference.
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.
2023/02/08 백승민 박사과정, 고영명 교수가 연구한 "QoS-aware energy-efficient workload routing and server speed control policy in data centers: a robust queueing theoretic approach" 논문이 산업공학 분야 최고 저널 중 하나인 IISE Transactions 저널에 게재 승인됨
2022/12/12 김종원 박사과정, 박은비 석사과정, 고영명 교수는 "A probabilistic fish growth model for a smart aquaculture system" 논문으로 ICONI 2022 학회에서 Outstanding Paper Award 를 수상함
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
* 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.
