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Methodology
Methodology
Tabular Learning
Tabular Learning
Representation learning
Self-supervised learning
Interpretable learning
Imbalanced learning
Graph Neural Network(GNN)
Graph Neural Network(GNN)
Spatio-temporal forecasting
Imputation
Mixture of experts
Natural Language Processing(NLP)
Natural Language Processing(NLP)
Topic modeling
Noisy label learning
Large language models (LLM)
Time Series Forecasting
Time Series Forecasting
Multivariate time series forecasting
Imbalanced learning
Interpretable learning
Physics Informed Neural Network(PINN)
Physics Informed Neural Network(PINN)
Loss function design
Optimization techniques
Convergence and stability analysis
Neural architecture innovation
Applications
Healthcare
Healthcare
Pusan National University Hospital
Risk stratification and prediction for lung resection candidates by applying machine learning
Development of clinical decision support systems for assisting respiratory clinicians by applying machine learning
Cohort analysis of association between respiratory test values of respiratory disease in patients
Seoul National University Bundang Hospital
Statistical analysis of the association between thyroid function and heart rate monitored by wearable devices in patients with hypothyroidism
TU Delft, Erasmus MC, Netherlands Cancer Institute
Derivation of a survey questionnaire for estimating cancer AYA patients' quality of life by AYA patients interview data analyses with a large language model (LLM)
Finance
Finance
Korea Housing Finance Corporation
Development of AI for automatically generating and supporting responses to online customer inquiries
Department of a classification system about the voice of customers using noisy text data from customers
Development of a delinquency prediction model for Korea Housing Finance Corporation's mortgage loans
Logistics/Transportation
Logistics/Transportation
Busan Port Authority
Port air pollution level prediction by applying GNN or LLM to spatiotemporal data from ships and equipment within port areas
Busan Port Terminal, CLT, TSB, NGL
Prediction of estimated times of ship arrival and departure by applying machine learning to AIS data
Optimization of Port equipment operation schedules based on machine learning and simulation methods
Korea Transportation Safety Authority
Driving risk assessment using non-negative matrix factorization with driving behavior records
Manufacturing
Manufacturing
SK Hynix
Development of a virtual metrology model for reflecting the characteristics of semiconductor wafers using GNN
Development of real-time defect detection model to reduce chip test costs
DRB
Validation of rubber retardant effects by interpretable machine learning
Defense
Defense
Defense Agency for Technology and Quality
Development of an imputation model for the missing value of sound speed profile based on generative models and physics knowledge
Development of reconstruction-based anomaly detection model for USV propulsion systems
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