Young Myoung Ko
Scholar

Young Myoung Ko

Google Scholar ID: sAzGvWcAAAAJ
Professor of Industrial and Management Engineering, POSTECH
Stochastic SystemsOptimizationApplied ProbabilityTelecommunication Networks
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Citations & Impact
All-time
Citations
621
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Publications
1 items
MOMEMTO: Patch-based Memory Gate Model in Time Series Foundation Model
2025
Cited
0
Resume
Academic Achievements
  • On October 2, 2025, a paper titled 'Learning-driven berth allocation optimization with port authority behavior' co-authored with Donghyun Lee was accepted for publication in IEEE Access; On September 4, 2025, a collaborative work with Prof. Jin Xu (Huazhong Univ. of Science and Technology) entitled 'Overlap approximation schemes in time-varying many-server queues' was accepted for publication in Annals of Operations Research; On July 16, 2025, a collaboration work with Prof. Stephane Barde (Hanyang Univ.) and Prof. Hayong Shin (KAIST) entitled 'Overcoming the curse of dimension of the optimal group maintenance policy of a heterogeneous multi-component series system' was accepted for publication in OR Spectrum.
Research Experience
  • Serves as a professor at the Department of Industrial and Management Engineering, POSTECH; involved in multiple research projects, including collaborating with Prof. Jin Xu from Huazhong University of Science and Technology on 'Overlap approximation schemes in time-varying many-server queues', published in Annals of Operations Research; working with Prof. Stephane Barde from Hanyang University and Prof. Hayong Shin from KAIST on 'Overcoming the curse of dimension of the optimal group maintenance policy of a heterogeneous multi-component series system', accepted by OR Spectrum; and co-authoring with Donghyun Lee on 'Learning-driven berth allocation optimization with port authority behavior', accepted for publication in IEEE Access.
Background
  • Research interests include but are not limited to Queueing Theory and Stochastic Processes, Stochastic Simulation, Time Series Foundation Model and its applications in manufacturing, Graph-based personalized inference and recommendation model, Optimization under uncertainty with pre-trained models, Reliability and Data-Driven Quality Control.