Wonmo Koo

Wonmo Koo, Ph.D.

I am a postdoctoral researcher in Interactive Computing Lab (ICLab) & AI Meta-Scientist Research Group at KAIST (PI: Dr. Uichin Lee). My expertise lies in statistics and AI, with a focus on multivariate time series analysis. Building on this, I am especially interested in developing statistical AI for smart manufacturing and autonomous systems.

Research Interests: Multivariate time series analysis, Smart manufacturing, Automomous systems

Contact: wonmo.koo [at] kaist.ac.kr | kaelema [at] gmail.com

Education

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Ph.D. in Industrial and Systems Engineering (2019-2026).
Advisor: Dr. Heeyoung Kim.

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

M.S. in Industrial and Systems Engineering (2015-2019).
Advisor: Dr. Heeyoung Kim.

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

B.S. in Mathematical Sciences (2011-2015).

Professional Experience

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Postdoctoral Researcher in Interactive Computing Lab (ICLab) & AI Meta-Scientist Research Group (2026-Current)
PI: Dr. Uichin Lee

Science and Technology Policy Institute (STEPI), Sejong, Republic of Korea.

Researcher in Entrepreneurship & SME Research Center (2017-2018).
PI: Dr. Sunwoo Kim

Awards & Honors

Finalist for IISE-QCRE Division Best Track Paper Competition (2025).
KAIST Graduate Student Outstanding Paper Award (2024).
Finalist for IISE-QCRE Division Best Track Paper Competition (2024).
Excellence Counseling Assistant Award (2019 Fall).
Excellence Counseling Assistant Award (2019 Spring).

Publications

(J: Journal, *: Equal Contribution)

Published/Accepted

[J4] W. Koo, E.-Y. Ma, and H. Kim (2024), "Deep Latent Factor Model for Spatio-Temporal Forecasting," Technometrics, 66(3), 470-482 (JCR Q1 Statistics & Probability).

Finalist for IISE-QCRE Division Best Track Paper Competition (2024).
KAIST Graduate Student Outstanding Paper Award (2024).

[J3] H. Cho*, W. Koo*, and H. Kim (2023), "Prediction of Highly Imbalanced Semiconductor Chip-Level Defects in Module Tests Using Multimodal Fusion and Logit Adjustment," IEEE Transactions on Semiconductor Manufacturing, 36(3), 425-433.

[J2] W. Koo and H. Kim (2020), "Bayesian Nonparametric Latent Class Model for Longitudinal Data," Statistical Methods in Medical Research, 29(11), 3381-3395 (JCR Q1 Statistics & Probability).
[J1] W. Koo and S. Kim (2018), "Systematized Government R&D Portfolio Using Determinants of Technological Innovation in SMEs," Asia Pacific Journal of Small Business, 40(2), 1-20.

Under Review/Revision

W. Koo, S. Chang, and H. Kim, "AIS-Based Vessel Trajectory Prediction Using Memory-Augmented Neural Networks." (under review)

W. Koo, J. Lee, T. Yoon, and H. Kim, "Graph-Transformer-Enhanced Probabilistic State-Space Models for Multivariate Time Series Anomaly Detection." (under review)
- Finalist for IISE-QCRE Division Best Track Paper Competition (2025).
J. Lee, T. Yoon, W. Koo, and H. Kim, "Knowledge-Assisted Multi-Graph Structure Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes." (under revision)

Presentations

International

J. Lee, T. Yoon, W. Koo, and H. Kim, "Knowledge-Assisted Multi-Graph Structure Learning for Multivariate Time Series Anomaly Detection in Multi-Stage Industrial Processes," INFORMS Annual Meeting, Atlanta, Georgia, Oct 26-29, 2025.
W. Koo and H. Kim, "Probabilistic Adaptive Graph Transformer for Uncertainty-Aware Multivariate Time Series Anomaly Detection," IISE Annual Conference & Expo, Atlanta, Georgia, May 31-Jun 3, 2025.
W. Koo, E.-Y. Ma, and H. Kim, "Deep Latent Factor Model for Spatio-Temporal Forecasting," IISE Annual Conference, Montreal, Canada, May 18-21, 2024; also presented at INFORMS Conference on Quality, Statistics, and Reliability, Como and Milan, Italy, Jul 1-4, 2024.

Domestic

구원모, 이재영, 윤태성, 김희영, "그래프 트랜스포머 기반 심층 상태공간 모델을 활용한 다변량 시계열 이상탐지," 대한산업공학회 추계학술대회, 대전, 2025.
이재영, 구원모, 김희영, "다단계 산업 공정 이상탐지를 위한 지식 보조 다중 그래프 구조 학습," 대한산업공학회 추계학술대회, 서울, 2024.
구원모, 마은열, 김희영, "시공간 예측을 위한 딥러닝 기반 잠재 요인 모델," 대한산업공학회 춘계공동학술대회, 여수, 2024.
구원모, 김희영, "미 관측 지역의 시공간 예측을 위한 방법론 비교 연구," 대한산업공학회 추계학술대회, 울산, 2023.

Projects

National Research Foundation of Korea, 2023-2026, "Human Centered–Carbon Neutral Global Supply Chain Research Center."
National Research Foundation of Korea, 2023-2026, "Development of Causality-Based Interpretable Integrated Framework for Manufacturing Process Control."
Hankook Tire & Technology, 2019-2020, "Analysis of Factors Affecting Uniformity and Quality Improvement Using Big Data."

Academic Services

Journal Referee

Technometrics
IISE Transactions
IEEE Transactions on Automation Science and Engineering

Teaching Assistant

IE541: Advanced Engineering Statistics, Spring 2022, Spring 2023.
IE101: Introduction to Operations Research, Fall 2015.

Mentoring Experience

Counseling Assistant in Department of Industrial and Systems Engineering, Fall 2018 to Fall 2021.

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