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

• 2024/09/06 Prof. Ko's collaboration work with Prof. Eunshin Byon, Jashin Park (U. of Michigan), and Prof. Sara Shashaani (NCSU) entitled " Strata Design for Variance Reduction in Stochastic Simulation" was accepted for publication in Technometrics.

• 2024/08/27 Prof. Ko and Jongwon Kim's collaboration work with Prof. Hyeseon Lee entitled "Constrained Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using Hyperparameter Optimization," was accepted for publication in Knowledge-based Systems.

• 2024/08/08 Prof. Ko's collaboration work with Prof. Jamol Pender (Cornell Univ.) and Prof. Jin Xu (Huazhong Univ. of Science and Technology) entitled "The Number of Overlapping Customers in Erlang-A Queues: An Asymptotic Approach," was accepted for publication in Probability in the Engineering and Informational Sciences.

• 2024/03/22 Prof. Ko was named a Senior Member of INFORMS (more information available here).

• 2024/09/06 고영명 교수, 미시건대 변은신 교수, 박재신 박사과정, NCSU Sara Shashaani 교수와 공동연구한 " Strata Design for Variance Reduction in Stochastic Simulation" 논문이 QSR 분야 최고 학술지인 Technometrics 저널(Q1, IF 2.3, 13.4%)에 게재 승인됨.

• 2024/08/27 고영명 교수,  김종원 박사과정, 이혜선 교수가 공동연구한 "Constrained Density-Based Spatial Clustering of Applications with Noise (DBSCAN) using Hyperparameter Optimization," 논문이 Knowledge-based Systems 저널(Q1, IF 7.2, 13.5%)에 게재 승인됨

• 2024/08/08 고영명 교수,  코넬대 Jamol Pender 교수, 화중과기대 Jin Xu 교수와 공동연구한 "The Number of Overlapping Customers in Erlang-A Queues: An Asymptotic Approach" 논문이  Probability in the Engineering and Informational Sciences 저널에 게재 승인됨

• 2024/03/22 고영명 교수, 미국 최대의 경영과학회인 INFORMS의 Senior Member로 선정됨(자세한 정보는 INFORMS web site 참조)