Presentations

Posters

Recent posters (2025–2026). Click any poster to open the full-resolution image.
→ View earlier posters (2021–2024)

Hybrid Physics-AI Approaches for Urban Flood Prediction: GPU Hydrodynamics, Data Assimilation, and AI Surrogates

Hybrid Physics-AI Approaches for Urban Flood Prediction: GPU Hydrodynamics, Data Assimilation, and AI Surrogates

Noh, S. J., Kim, B., Choi, H., Woo, H., Lee, Y., Kim, M., and Choi, J.

European Geosciences Union (2026)

Accelerating Urban Flood Data Assimilation: Coupling Physics-Guided AI Emulators with Real-Time Observations

Accelerating Urban Flood Data Assimilation: Coupling Physics-Guided AI Emulators with Real-Time Observations

Woo, H., Kim, B., Choi, H., Kim, M., Shin, E. T., Song, C. G., and Noh, S. J.

European Geosciences Union (2026)

Scale-Aware Machine Learning for Precipitation Downscaling: Impact on Regional Applications in Europe

Scale-Aware Machine Learning for Precipitation Downscaling: Impact on Regional Applications in Europe

Choi, H., Rakovec, O., Nguyen, Q. T., Ryu, H., and Noh, S. J.

European Geosciences Union (2026)

Multi-GPU Acceleration of High-Resolution and Large-Scale Urban Flood Modeling Using MPI-OpenACC

Multi-GPU Acceleration of High-Resolution and Large-Scale Urban Flood Modeling Using MPI-OpenACC

Kim, B., Ryu, H., Lee, S., Lee, J., and Noh, S. J.

European Geosciences Union (2026)

Multi-Dimensional Parameter Calibration and Sensitivity Analysis for WRF-Hydro Using PEST: A Case Study of the Nakdong River Basin

Multi-Dimensional Parameter Calibration and Sensitivity Analysis for WRF-Hydro Using PEST: A Case Study of the Nakdong River Basin

Choi, J., Lee, Y., Kim, B., Kim, H., and Noh, S. J.

Korean Society of Civil Engineers (2025)

Development of Urban Flood Mapping Super-Resolution Models Using Convolutional Neural Networks(CNN) and Generative Adversarial Networks(GAN)

Development of Urban Flood Mapping Super-Resolution Models Using Convolutional Neural Networks(CNN) and Generative Adversarial Networks(GAN)

Pyo, J., Choi, H., Kim, M., Lee, D., and Noh, S. J.

Korean Society of Civil Engineers (2025)

Sensitivity Analysis of Deep Learning-Based Urban Flood Prediction Models : Evaluation of Prediction Performance With Varying Rainfall Time Series Length

Sensitivity Analysis of Deep Learning-Based Urban Flood Prediction Models : Evaluation of Prediction Performance With Varying Rainfall Time Series Length

Kim, H., Woo, H., Choi, H., and Noh, S. J.

Korean Society of Civil Engineers (2025)

Retrospective Analysis of the 2022 Banpo Stream Urban Flooding Using the High-Resolution H12 Model

Retrospective Analysis of the 2022 Banpo Stream Urban Flooding Using the High-Resolution H12 Model

Han, S., Kim, B., Lee, Y., and Noh, S. J.

Korean Society of Civil Engineers (2025)

Urban Flood Characteristics Analysis of the Gyeongpocheon Basin in Gunsan City Using the H12 Model

Urban Flood Characteristics Analysis of the Gyeongpocheon Basin in Gunsan City Using the H12 Model

Jeong, D., Woo, H., Kim, M., Kim, B., and Noh, S. J.

Korean Society of Civil Engineers (2025)

LISSA: Development of an R-based Integrated Levee Safety Assessment and Simulation System

LISSA: Development of an R-based Integrated Levee Safety Assessment and Simulation System

Kim, H., Han, S., Choi, J., Woo, H., Choi, H., and Noh, S. J.

Korean Society of Civil Engineers (2025)

Deep Learning-Based Urban Pluvial Flood Modeling using High-resolution Physical Information

Deep Learning-Based Urban Pluvial Flood Modeling using High-resolution Physical Information

Woo, H., Kim, B., Choi, H., Kim, M., and Noh, S. J.

European Geosciences Union (2025)

Exploring the Role of Multivariate Observations in Urban Flood Prediction: A Data Assimilation Approach

Exploring the Role of Multivariate Observations in Urban Flood Prediction: A Data Assimilation Approach

Kim, B., Lee, Y., Lee, S., and Noh, S. J.

European Geosciences Union (2025)

Integrating Citizen Data in Urban Flood Risk Modeling: Insights from Synthetic Experiments

Integrating Citizen Data in Urban Flood Risk Modeling: Insights from Synthetic Experiments

Kim, M., Choi, H., Kim, B., Lee, Y., Lee, H., Kum, J., Lee, M., and Noh, S. J.

European Geosciences Union (2025)

Developing a Deep Learning-Based Super-Resolution Urban Flood Model: Towards Scalable and Reliable Hydrological Predictions

Developing a Deep Learning-Based Super-Resolution Urban Flood Model: Towards Scalable and Reliable Hydrological Predictions

Choi, H., Woo, H., Kim, M., Ryu, H., Lee, J., Lee, S., and Noh, S. J.

European Geosciences Union (2025)

 

→ View earlier posters (2021–2024)