Thesis: A Study on Workforce Deployment(Person-Hour) Prediction Based on Shipbuilding Workload.
Current Position: Samsung Heavy Industries
Contact: gocjh1@gmail.com
Thesis: Installation Cost Prediction and Schedule Risk Minimization for Offshore Plants Using Piping Spool Priority Codes and Total Block Man-hours
Current Position: Samsung Heavy Industries
Contact: sh5666.kim@samsung.com
Thesis: Explainable Deep Learning Framework for Color Difference Quality Prediction and Early Defect Detection in Textile Dyeing Processes
Current Position: INTOWN
Contact: ahheo@pusan.ac.kr
Thesis: A Framework for Machine Learning-based Delivery Risk Management using Inventory Data Analysis
Current Position: SK Innovation E&S Ensolve
Contact: jpark105@pusan.ac.kr
Thesis: A Scenario Classification Framework for Young Children’s Speaking Assessment
Contact: beomjunkim@pusan.ac.kr
Thesis: Development of an FDS-Based Physics-Informed Neural Network Model for Predicting Hazardous Gas Dispersion Fields under Unmeasured Conditions in Underground Pipelines
Contact: bnb323696@pusan.ac.kr