RESEARCH

Research Topics in Progress

• • Efficient Sampling-based Learning on Deep Generative Models

  • Efficient Vector Quantized Latent Structures in Deep Generative Models

  • Uncertainty-based Out-of-Distribution Detection in Text Domain

  • Stochastic Process-based Uncertainty Quantification and Out-of-Distribution Detection

  • Multi-Modal Learning on Recommendation Systems

  • Likelihood-Free Inference for Simulation Parameter Calibration

Research Projects in Progress

• • Development of Efficient Deep Generative Models based on Mathematical-Statistical Methodology

  • Development of Multi-disciplinary Statistical Methods for Personalization

  • Development of Conditional Data Generation Methods for Efficient Utilization of Machine Learning Models

Completed Research Projects

• • Statistical Analysis on Reparameterization Trick for Latent Variables in Deep Generative Models

  • Research on BERT-and-Topic-Model-based Entity Resolution and Labeling in Korean News Data

  • Development of Individual Consumption Pattern Classification Algorithm

  • Research and Development of Machine Learning based ReportBot Composing Economic Analysis Article

  • Research on Digital Twin of Supply Uncertainty and Demand Pattern with Energy Big Data

  • Research of Simulation Environment Using Thinking Machines

  • Analysis of Data-based Product Quality and Reliability

  • Development of AI-based Smart Construction System for Cost Saving

  • Research of Real-Time and Accuracy Verification of Fraud Detection System

  • Research on Machine Learning-based Heuristic Simulation Design and Prototype Verification

  • Development of Multi-Resolution Modeling Technology and Data Resolution Conversion Technique

  • Development of Future Core Technology-based Platform Software for Implementing Industrial Intelligence

  • Research and Development on Integrated Analysis for Multil-Linugal, Multi-Source, and Multi-Structured Data