[2025/11] Prof. Ki-Hun Kim delivered a presentation and participated in the panel discussion at the 2025 China-Korea Development Forum on Engineering Sciences and Technology, co-hosted by The Chinese Academy of Engineering (CAE) and the National Academy of Engineering of Korea (NAEK).
Title: AI Solutions for the Integrated Optimization of Port Logistics in Korea
[2025/11] Prof. Ki-Hun Kim, Sa-Eun Park, and Gyong-Pil Do attended a meeting with the Systems Analysis Department of the Republic of Korea Navy to discuss potential research collaboration.
[2025/11] Jung-Hwan Hong delivered his M.S. thesis defense presentation.
Title: Mortgage Delinquency Prediction: Multi-Modal Neural Hawkes Process
[2025/11] The final meeting for the project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" was held with officials from the Republic of Korea Navy.
[2025/11] Prof. Ki-Hun Kim delivered a presentation at the POSCO Tech Forum hosted by Pohang Iron & Steel Company (POSCO).
Title: AI Development Cases and Recommendations in Manufacturing Operations
[2025/11] Jung-Hwan Hong and Min-Kun Shin presented at the 2025 Joint Fall Conference co-hosted by the Korean Institute of Industrial Engineers (KIIE) and two other academic societies.
-(Presenter: Jung-Hwan Hong) Development of a Hawkes Process-Based Multimodal Deep Learning Model for Predicting Mortgage Delinquency at the Korea Housing Finance Corporation
-(Presenter: Min-Kun Shin) Graph Neural Imputation Method to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
-(Presenter: Min-Kun Shin) Heterogeneous Spatiotemporal Graph Neural Network for Port Air Quality Forecasting with the Integrated Use of Air-Quality, Weather, and AIS Data
[2025/11] The final deliberation for the project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" was held with officials from the Korea Occupational Safety and Health Agency (KOSHA).
[2025/11] Min-Kun Shin delivered his M.S. thesis defense presentation.
Title: TestImputer: Graph Neural Imputation Method to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
[2025/10] Jeong-Guk Kwon received the Silver Award in the Defense R&D Proposal Competition, funded by the Defense Agency for Technology and Quality, Korea.
Title: Development of AI-Based Noise Processing Technology for Digital Twin–Based Condition-Based Maintenance (CBM++) of Naval Weapon Systems
[2025/10] Prof. Ki-Hun Kim received the Silver Award in the Defense R&D Proposal Competition, funded by the Defense Agency for Technology and Quality, Korea.
Title: Development of an LLM Model for Deriving Critical Safety Items (CSI) for Korean Submarines
[2025/10] Jung-Hwan Hong and Min-Kun Shin presented at the INFORMS 2025 Annual Meeting.
-(Presenter: Jung-Hwan Hong) Development of a Compounded Rubber Property Prediction Model Based on Integrated Use of Recipe and Mixing Process Sensor Data
-(Presenter: Min-Kun Shin) Graph Neural Imputation Method to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
Title: AI Analyzer for Workers: Data Analysis by Natural Language
-(Presenter: Sa-Eun Park) Development of a Compounded Rubber Property Prediction Model Based on Integrated Use of Recipe and Mixing Process Sensor Data
-(Presenter: Jung-Hwan Hong) Development of a Hawkes Process-Based Multimodal Deep Learning Model for Predicting Mortgage Delinquency at the Korea Housing Finance Corporation
-(Presenter: Min-Kun Shin) Graph Neural Imputation Method to Mitigate Information Loss in Reduced Semiconductor Wafer Probe Test
-(Presenter: Min-Kun Shin) Heterogeneous Spatiotemporal Graph Neural Network for Port Air Quality Forecasting with the Integrated Use of Air-Quality, Weather, and AIS Data
[2025/09] Prof. Ki-Hun Kim delivered a presentation as a member of the AI Innovation Advisory Committee of the Korea Occupational Safety and Health Agency (KOSHA) on September 30.
Title: Development of a Large Language Model (LLM) Specialized in Industrial Accident Prevention: Supporting Response Generation for the Industrial Safety and Health Domain’s National Petition System
[2025/09] Yu-Bin Lee participated in BUSAN DATA WEEK 2025, hosted by the Busan Big Data Innovation Center, with the presentation titled “Spatio temporal AI-Based System for Proactive Prediction of Port Air Pollution”
[2025/09] The midterm meeting for the project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" was held with officials from the Korea Occupational Safety and Health Agency (KOSHA).
[2025/09] The project from our lab, funded by the Defense Agency for Technology and Quality, titled “LLM-based Objective Approach to Critical Safety Items” was presented at the International Submarine Technology Conference 2025.
Project participants from our lab: Jae-Hyuk Kum, Gyong-Pil Do, and Prof. Ki-Hun Kim.
[2025/09] Our lab started a new research project titled "Development and Verification of Industrial Safety AI Agent using Knowledge Graph-based RAG-LLM" funded by the National Research Foundation of Korea.
[2025/09] Our lab started a new research project titled "Ontology-Guided AI Framework for Inventory Insight Extraction in Manufacturing" funded by the National Research Foundation of Korea.
[2025/09] Our lab started a new research project titled "Development of AI Safety Management Platform Based on RAG LLM " funded by the Instiute for Regional Innovation System & Education in Busan Metropolitan City.
[2025/09] Our lab started a new research project titled "Proof-of-Concept (PoC) Study for Developing a Vision-to-Text AI Specialized in Industrial Safety " funded by the Korea Occupational Safety and Health Agency (KOSHA).
[2025/09] The 2nd working-level meeting for the project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" was held with officials from the Korea Occupational Safety and Health Agency (KOSHA).
[2025/09] The 2nd working-level meeting for the project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" was held with officials from the Republic of Korea Navy.
[2025/09] Harin Park was selected for the Master's Student Research Encouragement Grant Program (National Research Foundation of Korea).
[2025/09] Sa-Eun Park was selected for the Doctoral Student Research Encouragement Grant Program (National Research Foundation of Korea).
[2025/08] Chan-Ho Song won the Grand Prize at the 2025 News Data Hackathon hosted by the Korea Press Foundation.
[2025/08] Yu-Bin Lee received an award for the 2025 undergraduate capstone project from the Department of Industrial Engineering at Pusan National University.
[2025/08] Harin Park graduated from her undergraduate program and started her master's program.
[2025/08] The midterm meeting for the project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" was held with officials from the Republic of Korea Navy.
[2025/08] Yu-Bin Lee and Sung-Zune Park have been accepted into the integrated Bachelor's and Master's program.
[2025/07] Prof. Ki-Hun Kim delivered a presentation at the AI Technology Seminar hosted by the Korea Institute of Materials Convergence Technology.
Title: Prediction of Rubber Properties Based on Integrated Utilization of Mixing Process Sensor Data and Recipe Data
[2025/07] A research-sharing seminar was conducted between our lab and the Korea Housing Finance Corporation to exchange ongoing research and insights.
[2025/07] The working-level meeting for the project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" was held with officials from the Republic of Korea Navy.
[2025/07] The kick-off meeting for the project titled "Large Language Model-Based Identification of Critical Safety Items for Korean Submarines" was held with officials from the Defense Agency for Technology and Quality, Korea.
[2025/07] The working-level meeting for the project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" was held with officials from the Korea Occupational Safety and Health Agency (KOSHA).
[2025/07] Harin Joo and Dong-Hyeon Kim started the Internship program.
[2025/06] The kick-off meeting for the project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" was held with officials from the Korea Occupational Safety and Health Agency (KOSHA).
[2025/06] Our lab participated in the 2025 Joint Spring Conference co-hosted by the Korean Institute of Industrial Engineers (KIIE) and two other academic societies. A total of nine members—including a professor, graduate students, and undergraduate students—attended. We delivered two oral presentations and three poster presentations during the conference.
Oral Presentations
-(Presenter: Sa-Eun Park) Development of a Rubber Property Prediction Model Based on Integrated Use of Mixing Process Sensor Data and Formulation Information
-(Presenter: Min-Kun Shin) Port Air Pollution Forecasting Using a Heterogeneous Spatio-temporal Graph Neural Network Integrating AIS, Weather, and Air Quality Data
Poster Presentations
-(Presenter: Jae-Hyuk Kum) Assessing the Suitability of Generic Cancer Patient Experience Questionnaires for Young Patients: LLM-Based Interview Data Analysis
-(Presenter: Jung-Hwan Hong) Predicting Mortgage Delinquency Risk for the Korea Housing Finance Corporation Using a Deep Learning Model Based on Self-Exciting Point Processes
-(Presenter: Gyong-Pil Do) Development of a Korea Housing Finance Corporation's Voice of Customer Automated Response Generation Model Using a Large Language Model
[2025/06] Our lab started a new research project titled "An Empirical Study on Developing a Generative AI (LLM) for Industrial Accident Prevention" funded by the Korea Occupational Safety and Health Agency (KOSHA).
[2025/06] Our lab started a new research project titled "Large Language Model-Based Identification of Critical Safety Items for Korean Submarines" funded by the Defense Agency for Technology and Quality, Korea.
[2025/06] Our latest research has been published in the Journal of Manufacturing Systems, the top-ranked journal in the JCR ranking.
Paper Title: Comprehensive issue identification for manufacturing data analytics implementation: Systematic literature review and case studies
[2025/05] Prof. Ki-Hun Kim delivered a presentation as a member of the AI Innovation Advisory Committee of the Korea Occupational Safety and Health Agency (KOSHA) on May 23.
Title: Strategies for Implementing LLM-Based AI for Industrial Accident Prevention: Insights from Cases of LLM-Powered Civil Complaint Support Services
[2025/05] Prof. Ki-Hun Kim served as a guest lecturer in Prof. Kwang-Jae Kim’s “Service Quality Engineering” course, Department of Industrial and Management Engineering, Pohang University of Science and Technology.
Title: Development of a Lifelogs-based Wellness Index for College Students to Advance a Smart Wellness Service
[2025/04] The kick-off meeting for the project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" was held with officials from the Republic of Korea Navy.
[2025/04] Our lab started a new research project titled "Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards" funded by the Republic of Korea Navy.
[2025/04] The kick-off meeting for the Republic of Korea Navy's research project was successfully conducted.
Project : Development of Generative AI-based Information Retrieval Technology for Ship Design and Construction Standards
[2025/04] Chan-Ho Song and Hyuck-Chan Kwon started their internship program.
[2025/04] Prof. Ki-Hun Kim gave a research talk at the DOS department in TU Delft in the Netherlands.
Title: AI-driven Innovation in Healthcare and Cargo Shipping
[2025/04] Prof. Ki-Hun Kim has been appointed as a member of the AI Innovation Advisory Committee for the Prevention of Occupational Accidents and Diseases, operated by the Korea Occupational Safety and Health Agency.
[2025/03] Yu-Bin Lee started her undergraduate research assistantship.
[2025/03] Jae-Hyuk Kum graduated from his undergraduate program and started his master's program.
[2025/02] Gyong-Pil Do has been accepted into the integrated Master's and Ph.D. program.
[2025/02] Harin Park has been accepted into the integrated Bachelor's and Master's program.
[2025/01] Jeong-Guk Kwon received the Best Paper Award from the Defense Agency for Technology and Quality for their paper, recognized as one of the excellent publications of 2024 by the Journal of the Defense Quality Society.
Paper title: Derivation of Quality Management Factors for Naval-Weapon System Research and Development Stages
[2025/01] Yu Hyun-Chul, Assistant Manager of the Korea Occupational Safety and Health Agency, presented at a lab seminar.
Title: Status and Future Directions of AI-Based System Development at the KOSHA
[2025/01] Our lab attended the SCSC Research Center's workshop for the second half of the year.
[2025/01] Gyu-Won Seo, Senior Manager at Korea Housing Finance Corporation, presented at a lab seminar.
Title: Strategies for Implementing AI at Korea Housing Finance Corporation
