Sanghyun Choo

Sanghyun Choo is a Ph.D. student at NC State’s Edward P. Fitts Department of ISE focusing on Human-Systems Engineering.

LinkedIn: https://www.linkedin.com/in/sanghyun-choo-22b66516b

Research Interests

Sanghyun’s research interests include Machine Learning (ML), Deep Learning (DL), eXplainable Artificial Intelligence (XAI), Brain-Computer Interface (BCI), Human-In-The-Loop (HITL), and Neuroergonomics. Thier previous and ongoing research topics include model-agnostic/-specific post hoc methods in XAI for BCI, representation learning for various applications (e.g., signal, image, and text), regularization methods (e.g., data augmentation, multi-task learning, and adaptive batch size) to improve the generalization performance of DL, uncertainty-aware Interactive Reinforcement Learning (IRL; which is one of HITL models), using Monte Carlo dropout to reduce sample complexity, performance improvement of machine learning models (e.g., restricted Boltzmann machine (RBM), Bayesian network), cognitive state recognition using neuroimaging methods with state-of-the-art ML/DL models, brain network analysis to find causal relationships among brain components, etc.

Education