Journal Papers
International
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Mahvelatishamsabadi Morteza, and Sudong Lee. "Automated Weld Defect Detection in Radiographic Images Using Normalizing Flows." Machines 13.9 (2025): 836.
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Sudong Lee, and Chi-Hyuck Jun. "A NOVEL SPLIT SELECTION OF A LOGISTIC REGRESSION TREE FOR THE CLASSIFICATION OF DATA WITH HETEROGENEOUS SUBGROUPS." International Journal of Industrial Engineering: Theory, Applications and Practice 30.2 (2023).
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Chauhan, Shashank, and Sudong Lee. "Machine Learning-based Anomaly Detection for Multivariate Time Series with Correlation Dependency." IEEE Access (2022).
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Lee, Su-Dong, et al. "Machine learning models based on the dimensionality reduction of standard automated perimetry data for glaucoma diagnosis." Artificial intelligence in medicine
94 (2019): 110-116.
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Lee, Sudong, and Chi-Hyuck Jun. "Fast incremental learning of logistic model tree using least angle regression." Expert Systems with Applications 97 (2018): 137-145.
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Lee, Su-Dong, Junghye Lee, and Chi-Hyuck Jun. "Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality Test." Industrial Engineering & Management Systems 14.1 (2015): 104-110.
Domestic
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김창영, 조현건, 최준혁, 이수동. (2025). 딥러닝 기반 객체 탐지를 활용한 엔진 유압 제어 장치 호스 조립 공정 검사 자동화 시스템. 대한산업공학회지, 51(1), 73-82.
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박응호, 이수동, 정기효. (2023). 고속도로 건설공사 발주자의 안전점검 체계구축 절차에 관한 이해관계자 설문조사 및 분석. 대한안전경영과학회지, 25(3), 55-62.
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최지윤, 김시현, 이송이, 김경훈, 이수동. (2023). 건설 사고사례 데이터 기반 건설업 사망사고 요인분석. 대한안전경영과학회지, 25(3), 63-71.
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박응호, 이수동, 정기효. (2023). 건설공사 발주 공공기관의 안전점검 체계구축에 관한 연구. 대한안전경영과학회지, 25(3), 55-62.
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김경훈, 이수동. (2022). 경제⋅사회지표의 다변량 통계 분석을 활용한 국가 간 산업재해 사고사망 상대수준 비교. 한국안전학회지, 37(6), 128-135.
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김경훈, 이수동. (2022). 머신러닝을 활용한 사회ㆍ경제지표 기반 산재 사고사망률 상대비교 방법론. 대한안전경영과학회지, 24(4), 41-47.
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문병두, 이수동, 정기효. (2022). 플랫폼 기반 이륜차 배달 라이더의 사고경험에 따른 배달특성과 위험도 인식 분석. 대한안전경영과학회지 24(2), 41-50.
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김판기, 이수동, 정기효. (2022). 건설업의 안전보건경영시스템 인증이 안전보건관리수준과 사고지표에 미치는 영향. 대한안전경영과학회지 24(3), 15-21.
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Kim, K. J., Lee, S. D., Jun, C. H., Park, K. M., & Byeon, S. S. (2017). A statistical procedure of analyzing container ship operation data for finding fuel consumption patterns. The Korean Journal of Applied Statistics, 30(5), 633-645.
Conferences
International
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Zhamilya Saparova and Sudong Lee, "Supervised Contrastive Learning for Industrial
Defect Detection with Severe Class Imbalance," 4th workshop on Vision-based InduStrial InspectiON (VISION), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 3, 2026, Denver, Colorado.
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Mahvelatishamsabadi Morteza and Sudong Lee. “Automated Weld Defect Detection in Radiographic Images Using Normalizing Flows.” The 17th Asia Pacific Conference on Non-Destructive Testing (APCNDT), 11-15 May 2026, Honolulu, Hawaii.
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Sungmin Park, Minho Park, Siwon Kim, Sudong Lee. “An AI-based Automated Image Preprocessing for Weld Defect in Radiographic Images”, The 5th International Workshop on Intelligent Systems (IWIS), Jul. 21-24, 2025, Ulsan, Korea.
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Changhyun Lee, Joonhyeong Byeon, Yeseo Kim, Sudong Lee. “Virtual flaw augmentation for automated defect detection in steel pipe welds using deep learning”, The 5th International Workshop on Intelligent Systems (IWIS), Jul. 21-24, 2025, Ulsan, Korea.
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Mahvelatishamsabadi Morteza and Sudong Lee. “Automated Weld Defect Detection in Radiographic Images Using Normalizing Flows.” The 4th International Workshop on Intelligent Systems (IWIS), Aug. 28-31, 2024, Ulsan, Korea.
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Sudong Lee, Seunghyoung Ryu, Kyungtae Lim, Yonggyun Yu, “A Survey on Artificial Intelligence in Nuclear Science”, Transactions of the Nuclear Society Virtual Spring Meeting, July 9-10, 2020.
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Kyung-Jun Kim, Su-Dong Lee, Chi-Hyuck Jun, Kea-Myoung Park, Sang-Su Byeon, "A statistical Model for Analyzing Fuel Efficiency Using Vessel Operation Data", APIEMS 2017 conference, December 3-6, 2017, Yogyakarta, Indonesia. CD.
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Taek-ho Lee, Su-Dong Lee, Chi-Hyuck Jun, Myung-Gwon Hwang, Suchul Lee, "Disease Trend Clustering Based on The Big Data of National Health Insurance Service", APIEMS 2017 conference, December 3-6, 2017, Yogyakarta, Indonesia. CD.
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Chi-Hyuck Jun, Su-Dong Lee, "A Model Tree for Mixed Type Data Classification", Euro 2016, July 3-6, 2016, Poznan, Poland.
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Su-Dong Lee and Chi-Hyuck Jun, "Logistic Regression Trees for Categorical-numeric Mixed Type Data Classification", APIEMS 2015 conference, December 9-11, 2015, Ho Chi Minh City, Vietnam. CD.
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Su-Dong Lee and Chi-Hyuck Jun, "Hypertension Risk Prediction Using Two-stage Logistic Model Tree", Proceedings of 4th Annual Global Healthcare Conference (GHC 2015), June 29-30, 2015, Singapore.
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Su-Dong Lee, Jihyung Lee, Heecheon You and Chi-Hyuck Jun, "Comparison of machine learning classifiers for glaucoma diagnosis using variable selection", APIEMS 2014 conference, October 12-14, 2014, Jeju, Korea, USB.
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Lee, Su-Dong and Chi-Hyuck Jun, “A latent variable model learning method using Bayesian network”, APIEMS 2013 conference, December 3-6, 2013, Cebu, Philippines, CD.
Domestic
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남궁승아 and 이수동, “AI를 활용한 자동차 스테빌라이저 환봉의 표면 결함 탐지”, 2024 Fall Conference of KIIE, September 24, 2024, Seoul, Korea.
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이수동, “산업 현장을 위한 산업인공지능 연구에 대한 고찰”, 2023 Fall Conference of KIIE, November 3, 2023, Ulsan, Korea.
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유현철 and 이수동, “산업안전보건 분야의 텍스트 분석을 위한 자연어처리 인공지능 기술 적용방안 연구”, 2023 Fall Conference of KIIE, November 3, 2023, Ulsan, Korea.
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김창영, 조현건, 최준혁, 김정완, 최봉문, 황진석, 방희란, 이창헌, 남용희, 박지수, and 이수동, “객체 인식을 활용한 엔진 호스 체결 탐지 시스템 개발”, 2023 Spring Conference of KIIE, June 1, 2023, Jeju, Korea.
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이창현, 김선영, 김균엽, 유희진, and 이수동, “딥러닝을 활용한 용접 강관 비파괴 검사 이미지 결함 탐지를 위한 가상 결함 생성 기법 개발”, 2023 Spring Conference of KIIE, June 1, 2023, Jeju, Korea.
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Shashank Chauhan and Sudong Lee, "Rare Event Detection on In-Production Manufacturing Process Using Bayesian Neural Network", 2022 Spring Conference of KIIE, Jeju, June 3.
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Shashank Chauhan and Sudong Lee, "A Comparative Study on Anomaly Detection in Multivariate Time Series Data with Correlation Dependencies", 2021 Fall Conference of KIIE, Online, November 12.
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Taek-ho Lee, Su-Dong Lee and Chi-Hyuck Jun, "TF-IDF based Association Rule Mining for a Large Transaction Data", 2017 Fall Conference of KIIE, Daejoeon, Korea, November 4, 2017.
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Kyung-Jun Kim, Su-Dong Lee, Chi-Hyuck Jun, Gae-Myoung Park and Sang-Su Byeon, “Development of prediction model for ship sailing efficiency and response surface analysis”, 2017 Spring Conference of KIIE, Yeosu, Korea, April 26-29, 2017.
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Su-dong Lee, Taek-Ho Lee, Chi-Hyuck Jun, Myeong-Gwon Hwang and Su-Chul Lee, “Analysis of regional disease trend in Korea using the national insurance data”, 2017 Spring Conference of KIIE, Yeosu, Korea, April 26-29.
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Taek-Ho Lee, Su-Dong Lee, Chi-Hyuck Jun, Myoung-Gwon Hwang and Su-Chul Lee, “Development of a clustering method for regional disease trend analysis”, 2017 Spring Conference of KIIE, Yeosu, Korea, April 26-29.
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Sudong Lee and Chi-Hyuck Jun, “An efficient and effective look-ahead split selection method for model trees using logistic regression”, 2016 Spring Conference of KIIE, Jeju, Korea, April 13-16, 2016
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Sudong Lee and Chi-Hyuck Jun, “A novel method to build logistic regression trees for categorical-numeric mixed type data classification”, 2016 Fall Conference of KIIE, Seoul, Korea, November 7, 2015
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Su-Dong Lee, Junghye Lee and Chi-Hyuck Jun, “Does public expenditure on health help to decrease private health expenditure? - Panel Granger-causality evidence for OECD countries”, Proceedings of KORMS, KIIE, ESK, KSIE & KSS 2015 Joint Conference, Jeju, Korea, April 8-11, 2015.
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Kyung-Jun Kim, Su-Dong Lee and Chi-Hyuck Jun, “An improved feature selection based on the effective range minimizing redundancy among features for multi-class data”, 2015 Fall Conference of KIIE, Seoul, Korea, November 7, 2015.
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Kyung-Jun Kim, Su-Dong Lee and Chi-Hyuck Jun, “An improved feature selection for classification based on the effective range minimizing redundancy among features”, 2014 Fall Conference of KIIE, Suwon, Korea, November 21-22, 2014.
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Jun-Yong Jung, Su-Dong Lee and Chi-Hyuck Jun, “Estimation of the optimal LTC expiration date using semi-Markov chain”, 2014 Fall Conference of KIIE, Suwon, Korea, November 21-22, 2014.
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Su-Dong Lee and Chi-Hyuck Jun, “A structural equation model learning method using Bayesian networks”, The Joint Conference of Korean Operations Research and Management Science Society and Korean Institute of Industrial Engineers, Yeosu, Korea, May 24-25, 2013.
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Hyun-Ji Park, Min-Jun Kim, Su-Dong Lee, Seung-Hoon Lee, Baek-Hee Lee and Hee-Cheon Yoo, “Eco-friendly design for electric hair dryer through life-cycle assessment”, The Joint Conference of Korean Operations Research and Management Science Society and Korean Institute of Industrial Engineers, Yeosu, Korea, May 24-25, 2013.
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Ji-Hyung Lee, Su-Dong Lee, Baek-Hee Lee, Ja-Heon Kang, Chi-Hyuck Jun and Hee-Cheon Yoo, “Development of a diagnostic model for glaucoma”, Proceedings of the 2013 Spring Conference of Ergonomics Society of Korea, Ulsan, Korea, May 23 - May 24, 2013.
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Jun-Seong Kim, Su-Dong Lee and Chi-Hyuck Jun, “A robust causal discovery algorithm using partial least squares”, 2012 Fall Conference of KIIE, Ahnsan, Korea, November 2, 2012.