Research Experience

Graduate Researcher, Water Environmental Management Lab (Jul. 2021 – Present)

> Construct a module of deep Bayesian network.

> Construct interpretable deep learning method for incomplete time-series data.

> Develop water quality index for source water and water purification plants.

Graduate Research Assistant, Water Environmental Management Lab (Mar. 2020 – Jun. 2021)

> Assessed fecal pollution characteristics in national streams with hierarchical Bayesian networks.

> Determined optimized locations for constructing new air quality monitoring sites in Seoul.

> Predicted eutrophication levels of unmonitored lakes using the transfer learning of remote sensing data.

> Applied interpretable machine learning methodology, SHAP (SHapley Additive exPlanations), to analyze EPT (Ephemeroptera, Plecoptera, and Trichoptera) species.

> Predicted total nitrogen loadings using the SPARROW (SPAtially Referenced Regressions On Watershed attributes) model in Nakdong watershed.

Undergraduate Research Assistant, Water Environmental Management Lab (Mar. 2018 – Feb. 2020)

> Devised a water quality index methodology for urban streams using factor analysis. `

> Developed dissolved oxygen prediction model for streams using the LSTM (Long short-term memory) and Ensemble models.

> Analyzed the spatiotemporal patterns of TMDL water quality variables with load-duration curves.

> Identified relationships between social media text data and air quality through text analysis.

> Created a web-specific automatic crawling code.