PROJECTS
Research Projects in Progress
*Development of Efficient Deep Generative Models based on Mathematical-Statistical Methodology (Apr. 2024 - Mar. 2029)
Development of Multi-disciplinary Statistical Methods for Personalization (Jun. 2023 - Feb. 2026)
(*: Principal Investigator, ^: Principal Investigator of Sub-Project)
Completed Research Projects
^Development of Conditional Data Generation Methods for Efficient Utilization of Machine Learning Models (Mar. 2023 - Feb. 2025)
*Development of Automated Profile Inferring Systems based on Personal Consumption History (Oct. 2024 - Dec. 2024)
*Statistical Analysis on Reparameterization Trick for Latent Variables in Deep Generative Models (Sep. 2022 - Feb. 2024)
*Research on BERT-and-Topic-Model-based Entity Resolution and Labeling in Korean News Data (Mar. 2022 - Feb. 2024)
Development of Individual Consumption Pattern Classification Algorithm (While at KAIST)
Research and Development of Machine Learning based ReportBot Composing Economic Analysis Article (While at KAIST)
Research on Digital Twin of Supply Uncertainty and Demand Pattern with Energy Big Data (While at KAIST)
Research of Simulation Environment Using Thinking Machines (While at KAIST)
Analysis of Data-based Product Quality and Reliability (While at KAIST)
Development of AI-based Smart Construction System for Cost Saving (While at KAIST)
Research of Real-Time and Accuracy Verification of Fraud Detection System (While at KAIST)
Research on Machine Learning-based Heuristic Simulation Design and Prototype Verification (While at KAIST)
Development of Multi-Resolution Modeling Technology and Data Resolution Conversion Technique (While at KAIST)
Development of Future Core Technology-based Platform Software for Implementing Industrial Intelligence (While at KAIST)
Research and Development on Integrated Analysis for Multi-Lingual, Multi-Source, and Multi-Structured Data (While at KAIST)
(*: Principal Investigator, ^: Principal Investigator of Sub-Project)