Peer-Reviewed Articles
*corresponding author; **co-corresponding author; ***co-first authors
Kikun Park, Ki-Hun Kim, Minseop Kim, Hyerim Bae*
Computers & Industrial Engineering, Volume 211, 111610, 2026
 Sa-Eun Park***, Sang-Jae Lee***, Hyerim Bae, Ki-Hun Kim*, Eung-Jun Kang, Jae-Sung Kim, Yong-Min Park, Min-Ji Park
 Journal of Manufacturing Systems, Volume 82, pp. 42-59, 2025
[21] Contrastive loss with dynamic margin for rubber-recipe physical-property prediction
 Hanbyeol Park, Ki-Hun Kim, Kikun Park, Jaeeun Kwon, Eungjun Kang, Hyerim Bae*
Engineering Optimization, Vol. 57 , No. 4, pp. 1087–1110, 2025
 Tae Sung Park, Sa-Eun Park, Ki-Hun Kim, Sang Hun Kim, Myung Hun Jang, Myung-Jun Shin, Yun Kyung Jeon
 The World Journal of Men's Health, Vol. 42, pp. e77, 2024
[19] Derivation of Quality Management Factors for Naval-Weapon System Research and Development Stages
 Jeong-Guk Kwon, Dong-Hyeon Lee, Jun-Woo Kim, Kwan-Woo Lee, Ki-Hun Kim*
 Journal of Defense Quality Society, Vol. 6, No. 1, pp. 29-39, 2024
 Jiwon Jung***, Ki-Hun Kim***, Tess Peters, Dirk Snelders, Maaike Kleinsmann
 International Journal of Design, Vol. 17, No. 2, 2023
 Yeonji Ha, Jonghyuk Lee, Kyubo Shin, Jae Hoon Moon, Ki-Hun Kim*
 Journal of the Korean Institute of Industrial Engineers, Vol. 49, No. 2, pp. 187-197, 2023
 Seon-Kwan Yeo, Jong-Hyuk Lee, Won-Jun Choi, Ki-Hun Kim*
 Journal of Korean Society for Quality Management, Vol. 51, No. 1, pp. 67-78, 2023
[15] Dynamic digital twin: Diagnosis, treatment, prediction, and prevention of disease during the life course
 Skander Tahar Mulder, Amir-Houshang Omidvari, Anja J Rueten-Budde, Pei-Hua Huang, Ki-Hun Kim, Babette Bais, Melek Rousian, Rihan Hai, Can Akgun, Jeanine, Roeters van Lennep, Sten Willemsen, Peter R Rijnbeek, David MJ Tax, Marcel Reinders, Eric Boersma, Dimitris Rizopoulos, Valentijn Visch, Régine Steegers- unissen
 Journal of Medical Internet Research, Vol. 24, No. 9, pp. e35675, 2022
[14] Driving risk assessment using non-negative matrix factorization with driving behavior records
 Hyunwoo Seo, Jongkyung Shin, Ki-Hun Kim**, Chiehyeon Lim**, Jungcheol Bae
 IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 11, pp. 20398-20412, 2022
[13] Ethical issues of digital twins for personalized health care service: preliminary mapping study
 Pei-hua Huang***, Ki-Hun Kim***, Maartje Schermer
 Journal of Medical Internet Research, Vol. 24, No. 1, pp. e33081, 2022
 Chang-Ho Lee, Dong-Hee Lee, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim, Kwang-Jae Kim
 Journal of Intelligent Manufacturing, Vol 33, pp. 167-183,  2022
 Ki-Hun Kim, Juhui Lee, Chang Ho Ahn, Hyeong Won Yu, June Young Choi, Ho-Young Lee, Won Woo Lee, Jae Hoon Moon
 Endocrinology and Metabolism, Vol. 36, No. 5, pp. 1121-1130, 2021
 Junegak Joung, Ki-Hun Kim, Kwangsoo Kim
 SAGE Open, Vol. 11, No. 1, 2021
 Ki-Hun Kim*, Kwang-Jae Kim
 JMIR Medical Informatics, Vol. 8, No. 12, pp. e20579, 2020
 Ki-Hun Kim, Kwang-Jae Kim, Dae-Ho Lee, Min-Geun Kim
 International Journal of Information Management, Vol. 46, pp. 187-197, 2019
 Chiehyeon Lim, Ki-Hun Kim, Min-Jun Kim, Kwang-Jae Kim
 Service Business, Vol. 13, pp. 51-74, 2019
[6] Customer process management: A framework for using customer-related data to create customer value
 Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim, Paul Maglio
 Journal of Service Management, Vol. 30, No. 1, pp. 105-131, 2018
[5] Development of a lifelogs-based daily wellness score to advance a smart wellness service
 Ki-Hun Kim, Kwang-Jae Kim, Chiehyeon Lim, Jun-Yeon HeoÂ
Service Science, Vol. 10, No. 4, pp. 408-422, 2018
 Kwang-Jae Kim, Chiehyeon Lim, Ki-Hun Kim, Sung-Hong Kang, Heecheon You, Chi-Hyuck Jun, Soon-Ae Shin, Dong-Soo Choo, Jong-Hee Kim
 IISE Transactions on Healthcare Systems Engineering, Vol. 8, No. 4, pp. 237-249, 2018
 Chiehyeon Lim, Ki-Hun Kim, Min-Jun Kim, Jun-Yeon Heo, Kwang-Jae Kim, Paul P Maglio
 International Journal of Information Management, Vol. 39, pp. 121-135, 2018
[2] Using data to advance service: managerial issues and theoretical implications from action research
 Chiehyeon Lim, Min-Jun Kim, Ki-Hun Kim, Kwang-Jae Kim, Paul P Maglio
 Journal of Service Theory and Practice, Vol. 28, No. 1, pp. 99-128, 2018
[1] Evaluating servicescape designs using a VR-based laboratory experiment: A case of a Duty-free Shop
 Ryeok-Hwan Kwon, Kwang-Jae Kim, Ki-Hun Kim, Yoo-Suk Hong, Bohyun Kim
 Journal of Retailing and Consumer Services, Vol. 26, pp. 32-40, 2015
Conference Papers
 Euiyoung Kim, Sara Beckman, Ki-Hun Kim, Sicco Santema
 Design Research Society, Bilbao, Spain, 25 June - 3 July, 2022
[12] Evaluation of User Experience using a Virtual Reality Model: A Case of FOLED Chevron Alignment Sign
 Do-Hyeon Ryu, Ki-Hun Kim, Min-Gi Kim, Kwang-Jae Kim, Min-Sun Kim, Jung-Min Yun, and Jeongsam Yang
 The 18th China-Korea Bilateral Symposium on Quality, Incheon, Korea, August 23–25, 2019Â
[11] An Approach for Decomposing Multivariate Out-of-control Observations with Clustering Algorithm: A Case Study
 Young-Mok Bae, Ki-Hun Kim, Kwang-Jae Kim
 18th Asia Pacific Industrial Engineering and Management Systems, Yogyakarta, Indonesia, December 3–6, 2017Â
 Ki-Hun Kim, Kwang-Jae Kim, Dae-Ho Lee, Min-Geun Kim
 International Research Symposium in Service Management (IRSSM-8), Seoul, Korea, August 1–5, 2017Â
[9] A Case Study to Analyze Quality Attributes in an mHealth Service for College Students
 Ki-Hun Kim, Kwang-Jae Kim, Chiehyeon Lim, Jun-Yeon Heo, Dae-Ho Lee, Min-Geun Kim
 International Research Conference on Systems Engineering and Management Science 2017, Xian, China, April 21–22, 2017Â
[8] System Informatics-based Services: A Conceptual Framework
 Kwang-Jae Kim, Chiehyeon Lim, Jun-Yeon Heo, Min-Jun Kim, Ki-Hun Kim, Chang-Ho Lee
 Asia Pacific Industrial Engineering & Management Systems Conference 2016, Taipei, Taiwan, December 8–10, 2016.Â
[7] Toward smarter service systems through service-oriented data analytics
 Chiehyeon Lim, Paul P Maglio, Kwang-Jae Kim, Min-Jun Kim, Ki-Hun Kim
 IEEE 14th International Conference on Industrial Informatics (INDIN), Poitiers, France, July 18–21, 2016
[6] Data-driven Customer Process Management: A New Paradigm for Co-Creating Value with Customer Data
 Chiehyeon Lim, Paul P Maglio, Kwang-Jae Kim, Min-Jun Kim, Ki-Hun Kim
 SERVSIG 2016, Maastricht, Netherlands, June 17–19, 2016Â
[5] Identification of Critical Health Behaviors in Health Behavior Support Services for College Students
 Ki-Hun Kim, Kyung-Jun Kim, Jae-Sang Park, Chi-Hyuck Jun, Kwang-Jae Kim, Byung-In Kim, Dae-Ho Lee, Min-Geun Kim
 International Research Conference on Systems Engineering and Management Science 2016, Beijing, China, April 1–2, 2016Â
[4] System Informatics-based New Service Development: A Conceptual Framework
 Kwang-Jae Kim, Chiehyeon Lim, Jun-Yeon Heo, Min-Jun Kim, Ki-Hun Kim, Chang-Ho Lee
 Asia Pacific Industrial Engineering & Management Systems (APIMES) Conference 2015, Ho Chi Minh City, Vietnam, December 8–11, 2015Â
[3] Systematic Identification of Process Parameters Related to a Quality Dimension for Information-Intensive Service: A Case Study on IPTV Service
 Ki-Hun Kim, Chiehyeon Lim, Kwang-Jae Kim
 14th Korea-China Quality Symposium, Jeju, Korea, August 20–22, 2015Â
[2] Designing a Service Process for Hypertension Patient Support
 Kwon, R, Chiehyeon Lim, Ki-Hun Kim, Kwang-Jae Kim, Kim, Y, Kang, SÂ
 Asia Pacific Industrial Engineering & Management Systems Conference 2014, Jeju, Korea, October 12–15, 2014Â
[1] Development of a Service Model for Hypertension Patient Management
 Kwang-Jae Kim, Ryeok-Hwan Kwon, Ki-Hun Kim, Sung-Hong Kang, Yeaeun Kim, Eunji Kim, Chi-Hyuck Jun, Junghye Lee, Wonji Lee
 Spring Research Conference on Systems Engineering and Management Science 2014, Shenzhen, China, May 16–17, 2014Â
Conference Presentations
[20] Development of an AI-Based Civil Complaint Response System for the Korea Occupational Safety and Health Agency (KOSHA) Using Occupational Safety and Health Laws and Regulations
Gyeong-Pil Do, Jae-Hyuk Kum, Gwang-Il Baek, Chang-Hun Lee, Ki-Hun Kim
2026 Joint Spring Conference co-hosted by the KIIE and two other societies, 2026, Gyeongju, Korea, June 5
[19] Development of an AI Agent for Critical Safety Item Identification in Complex Systems
Jae-Hyuk Kum, Gyeong-Pil Do, Ho-Seong Chang, Yeon-Dong Park, Ki-Hun Kim
2026 Joint Spring Conference co-hosted by the KIIE and two other societies, 2026, Gyeongju, Korea, June 4
[18] Emission Source Analysis of Air Pollution in Ports Using Heterogeneous Spatio-Temporal Graph Neural Networks
Yu-Been Lee, Sa-Eun Park, Ha-Rin Joo, Ki-Hun Kim
2026 Joint Spring Conference co-hosted by the KIIE and two other societies, 2026, Gyeongju, Korea, June 4
[17] Development of Virtual Metrology AI for Mixed Rubber Properties Based on the Fusion of Recipe and Sensor Data in the Rubber Mixing Process
Sa-Eun Park, Yu-Been Lee, Jeong-Hwan Hong, Chie-Hyun Lim, Hye-Mi Kim, Chae-Young Yoon, Hyeong-Woo Choi, Sang-Jun Park, Jung-Ho Lee, Young-Bae Hwang, Jae-Hoon Jung, Hong-Ga Lee, Ho-jin Cho, Ki-Hun Kim
2026 Joint Spring Conference co-hosted by the KIIE and two other societies, 2026, Gyeongju, Korea, June 4
[16] MORE-QAS: Multi-Objective reinforcement learning for Robust and Efficient Quantum Architecture Search
Dong-Hyeon Kim, Ki-Hun Kim
2026 Joint Spring Conference co-hosted by the KIIE and two other societies, 2026, Gyeongju, Korea, June 4
[15] TestImputer: Neural Imputation to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
Min-Kun Shin, Sa-Eun Park, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim
2025 Joint Fall Conference co-hosted by the KIIE and two other societies, 2025, Jeju, Korea, November 7
[14] Heterogeneous spatiotemporal graph neural network for port air quality forecasting with the integrated use of air-quality, weather, and AIS data
Min-Kun Shin, Hyun-Wook Lee, Sung-Zun Park, Yu-Bin Lee, Sa-Eun Park, Sung-Ahn Ko, Ki-Hun Kim
2025 Joint Fall Conference co-hosted by the KIIE and two other societies, 2025, Jeju, Korea, November 6
[13] TestImputer: Neural Imputation to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
Min-Kun Shin, Sa-Eun Park, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim
2025 INFORMS Annual Meeting, 2025, Atlanta, USA, October 29
[12] Heterogeneous Spatiotemporal Graph Neural Network for Port Air Quality Forecasting with the Integrated Use of Air-Quality, Weather, and AIS Data
Min-Kun Shin, Hyun-Wook Lee, Sung-Zun Park, Sa-Eun Park, Yu-Bin Lee, Sung-Ahn Ko, Ki-Hun Kim
Quality Management and Organizational Development (QMOD), 2025, Seoul, Korea, September 28
[11] Graph Neural Imputation Method to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Testing
Min-Kun Shin, Sa-Eun Park, Young-Mok Bae, Seung-Hyun Choi, Ki-Hun Kim
Quality Management and Organizational Development (QMOD), 2025, Seoul, Korea, September 28
[10] Development of a Hawkes Process-Based Multimodal Deep Learning Model for Predicting Mortgage Delinquency at the Korea Housing Finance Corporation
Jung-Hwan Hong, Gyu-Won Seo, Ki-Hun Kim
Quality Management and Organizational Development (QMOD), 2025, Seoul, Korea, September 28
[9] Development of a rubber property prediction model based on integrated use of mixing process sensor data and formulation information
Sa-Eun Park, Jung-Hwan Hong, Si-Yeon Park, Chie-Hyun Lim, Hye-Mee Kim, Hyung-Woo Choi, Jik-Hyun Yoon, Ho-Jin Choi, Ki-Hun Kim
Quality Management and Organizational Development (QMOD), 2025, Seoul, Korea, September 27
[8] Development of a Compounded Rubber Property Prediction Model Based on Integrated Use of Recipe and Mixing Process Sensor Data
Sa-Eun Park, Jung-Hwan Hong, Hojin Cho, Chiehyeon Lim, Hyemee Kim, Hyeong-Woo Choi, Jik-Hyun Yoon, Ki-Hun Kim
Quality Management and Organizational Development (QMOD), 2025, Seoul, Korea, September 27
[7] LLM-based Objective Approach to Critical Safety Items
Ho-Sung Jang, Ki-Hun Kim, Jae-Hyuk Kum, Gyeong-Pil Do
International Submarine Technology Conference 2025, Busan, Korea, September 23
[6] Rubber property prediction model based on integrated use of mixing process sensor data and formulation information
Sa-Eun Park, Jung-Hwan Hong, Si-Yeon Park, Chie-Hyun Lim, Hye-Mee Kim, Hyung-Woo Choi, Jik-Hyun Yoon, Ho-Jin Choi, Ki-Hun Kim
The Spring Conference of Korean Institute of Industrial Engineers (KIIE), 2025, Jeju, Korea, June 20
[5] Heterogeneous spatiotemporal graph neural network for port air quality forecasting with the integrated use of air-quality, weather, and AIS data
Min-Kun Shin, Hyun-Wook Lee, Sung-Zun Park, Sung-Ahn Ko, Ki-Hun Kim
2025 Joint Spring Conference co-hosted by the KIIE and two other societies, 2025, Jeju, Korea, June 19
[4] LLM-driven development of PROM items for AYA Patients with an uncertain or poor cancer prognosis
Jae-Hyuk Kum, Gyeong-Pil Do, Harin Park, Milou J.P. Reuvers, Olga Husson, JiWon Jung, Ki-Hun Kim
2025 Joint Spring Conference co-hosted by the KIIE and two other societies, 2025, Jeju, Korea, June 19
[3] Development of a large language model generating responses to voice of customers from korea housing-finance corporation
Gyeong-Pil Do, Jae-Hyuk Kum, Harin Park, Gyu-Won Seo, Ki-Hun Kim
2025 Joint Spring Conference co-hosted by the KIIE and two other societies, 2025, Jeju, Korea, June 19
[2] Heterogeneous spatiotemporal graph neural network for port air quality forecasting with the integrated use of air-quality, weather, and AIS data
Min-Kun Shin, Hyun-Wook Lee, Sa-Eun Park, Sung-Zun Park, Harin Park, Sung-Ahn Ko, Ki-Hun Kim
2024 Joint Fall Conference co-hosted by the KIIE and two other societies, 2024, Yeosu, Korea, October 25
[1] Medical machine learning model for predicting 6-min-walk-test results
Sa-Eun Park, Tae-Sung Park, Sanghun Kim, Myung-Jun Shin, Ki-Hun Kim
INFORMS Annual Meeting, 2024, Seattle, USA, October 22
Patents
[6] "Recommender System Based on Driver Dispatching System", Korean Patent Application No. 10-2024-0062894 (Filing Date: May 14, 2024)
[5] "Bayesian Network Based Container Dwell-Time Prediction Method and Device", Korean Patent Application No. 10-2024-0034577 (Filing Date: March 12, 2024)
[4] "Respiratory Disease Risk Prediction System and Respiratory Disease Risk Prediction Method Based on Respiratory Muscle and Hand Grip Strength Data", Korean Patent Application No. 10-2023-0195164 (Filing Date: December 28, 2023)
[3] "Method and Apparatus for Predicting Recipe Property Reflecting Similarity Between Chemical Materials", US Patent Application No. 18/475,206 (Filing Date: September 27, 2023)
[2] "Method and Apparatus for Assessing Driving Risk", Korean Patent Application 10-2896665 (Registration Date: December 2, 2025)
[1] "Method and Apparatus for Predicting Recipe Property Reflecting Similarity Between Chemical Materials", Korean Patent Application No. 10-2022-0134746 (Filing Date: October 19, 2022)