Welcome to the Industrial AI Lab at Pusan National University!
 

Mission: In AI for industries, develop pioneering graduates and accomplish world-class research results.

The Industrial AI Lab innovates AI methods for industries, focusing on tabular learning, graph neural networks, natural language processing, and time series forecasting. We actively apply these methods across various sectors through collaborations with leading companies and institutions, including SK Hynix, Korea Housing Finance Corporation, Busan Port Authority, TU Delft, Erasmus MC, Pusan National University Hospital, and the Defense Agency for Technology and Quality.

Opening Positions!

We are seeking highly motivated Undergraduate, Master's, and Ph.D. students. If you want to join the Industrial AI Lab, please email kihun@pusan.ac.kr with your latest CV, university transcript, and personal statement.

Latest News

• [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.
  Topic : 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.
  Topic: Strategies for Implementing AI at Korea Housing Finance Corporation

• [2024/12] Gyong-Pil Do  presented at the final report session of the Korea Housing Finance Corporation research project.
  Topic : Development of an AI model for Voice of Customer (VoC) response generation

• [2024/12] Ki-Hun Kim presented at the Housing Finance Consumer Advisory Council of the Korea Housing Finance Corporation.
  Topic: AI-driven Customer Value Enhancement for the  Korea Housing Finance Corporation
  News article : Link

• [2024/11] Jeong-Guk Kwon presented at the KSQM (Korean Society for Quality Management) 2024 Fall Conference
  Topic : Estimating Remaining Useful Life of Multivariate Time-series Sensor Data using A Diffusion Based AI Model

• [2024/11] Jung-Hwan Hong, Jae-Hyuk Kum, and Sung-Zune Park won an Excellence Award from the Chairman of the National Research Foundation of  Korea

• [2024/11] Jung-Hwan Hong, Jae-Hyuk Kum, and Sung-Zune Park won a Best Award from EWX-CORPS

• [2024/11] Ki-Hun Kim delivered an invited special lecture at the 2024 Pusan National University Hospital Biomedical Research Institute.
  Topic :  Medical Machine Learning Model for Predicting 6-Min-Walk-Test Results

• [2024/10] Min-Kun Shin presented at the 50th Anniversary of the Korean Institute of Industrial Engineers's founding.
  Topic : Development of a Heterogeneous ST-GNN Model for Predicting Port Air Pollution Using Ship, Weather, and Air Pollution Data

• [2024/10] Sa-Eun Park presented at the INFORMS 2024 Annual Meeting.
  Topic :  Medical Machine Learning Model for Predicting 6-Min-Walk-Test Results

• [2024/10] Ki-Hun Kim presented at the 4th Joint Workshop on Decision Under Uncertainty, held at the University of Washington.
  Topic : Medical Machine Learning Model for Predicting 6-Min-Walk-Test Results

• [2024/10] Sa-Eun Park was selected for the BK21 Graduate Student Support Program for International Conference Presenters.
  Conference : INFORMS 2024, Location : Seattle, USA, Dates  : October 20 - October 23 

• [2024/9]  Jung-Hwan Hong presented his research output at X-Corps festival.
  Subject : Development of a Delinquency Prediction Model for Korea Housing Finance Corporation's Mortgage Loans Using Temporal-Fusion-Transformers

• [2024/9] Evaluating Respiratory Muscle Strength in Sarcopenia Screening among Older Men in South Korea: A Retrospective Analysis published in The World Journal of Men's Health.

• [2024/9] Min-Kun Shin was selected for the Master's Student Research Encouragement Grant Program (National Research Foundation of Korea)

• [2024/9] Jae-Hyuk Kum started the integrated Bachelor's and Master's program.

• [2024/9] Byung-Jun Kang started the Undergraduate internship.

• [2024/8] Se-Hun Kim and Harin Park started the Undergraduate research.

• [2024/8] Our lab attended the SCSC group 2 summer workshop.

• [2024/8] Our lab attended the IJCAI 2024 in Korea.

• [2024/6] Jae-Hyuk Kum and Sung-Zune Park started the Undergraduate research.

• [2024/4] Gyeong-Pil Do and Min-Kun Shin were selected for PNU-Fellowship.

• [2024/3] Jung-Hwan  Hong was selected for the Master's Student Research Encouragement Grant Program
  (National Research Foundation of Korea).

• [2024/3] Gyeong-Pil Do, Min-Kun Shin, and Jung-Hwan Hong started the Master's Program.