Experience

Researcher, supported by National Science Foundation (NSF) -- 2021.01- Present

Project: Adapting signal recovery algorithms for accurate and efficient reaction rate calculations

Researcher, supported by Samsung Future Technology Foundation -- 2018.03-2020.12

Project: 6G wireless communication systems, pushing the limits beyond Nyquist to achieve terabit communications
- Design bit-wise optimal sparse signal recovery algorithms using statistical information of systems [J1]
- Design semi-supervised learning algorithm and online learning algorithm for multiuser multiple-input
  multiple-output (MU-MIMO) systems [J2]
- Develop multiple indices detection algorithms for sparse signal recovery given quantized observations (i.e.,one-bit signal) [J3]

Researcher, supported by Korea Electric Power Corporation

Project: Anomaly data detection for nuclear power plant using machine learning algorithms
- Predicts anomalies and design outlier detection algorithms for cable wire fault via machine learning techniques (i.e., Gaussian Mixture Model and Support Vector Machine)

Core R&D Data Science intern, Machine Learning, Optimization and Statistics (MiLOS) team, Dow (May 2023 - Aug 2023)
- Project: Generative models for time-series data