Eui Hoon Lee

Professor

Chungbuk National University

South Korea

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Eui Hoon Lee is a Professor at Chungbuk National University in South Korea. His research areas encompass water resource management, specifically focusing on dam inflow prediction, groundwater level forecasting, and urban flood vulnerability analysis using advanced computational methods. He has published extensively on techniques involving artificial intelligence, including auto-setting neural networks and explainable AI, as well as optimal design strategies for water distribution systems.

Articles (17)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (3)

Changhyun Jun

Chung-Ang University

SOUTH KOREA

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Jongjin Baik

Research professor

Chung-Ang University

SOUTH KOREA

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Joong Hoon Kim

Dean, College of Engineering

Korea University

SOUTH KOREA

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Eui Hoon Lee

Research Interests

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Articles (17)

Prediction of Dam Inflow in the River Basin Through Representative Hydrographs and Auto-Setting Artificial Neural Network

Development of dam inflow prediction technique based on explainable artificial intelligence (XAI) and combined optimizer for efficient use of water resources

Groundwater level prediction using modified recurrent neural network combined with meta-heuristic optimization algorithm

Morphometric Analysis Using Geographical Information System and the Relationship with Precipitation Quantiles of Major Dam Basins in South Korea

Proactive dam operation based on inflow prediction by modified long short-term memory for improving resilience

Urban flood vulnerability analysis and prediction based on the land use using Deep Neural Network

Grid-Based Precipitation Quantile Estimation Considering Homogeneity Using ERA5-Land Data for the Korean Peninsula

Optimal Design of Water Distribution System Using Improved Life Cycle Energy Analysis: Development of Optimal Improvement Period and Unit Energy Formula

Application of Modified Hybrid Vision Correction Algorithm for Water Distribution Systems in Civil Engineering

Inflow Prediction of Centralized Reservoir for the Operation of Pump Station in Urban Drainage Systems Using Improved Multilayer Perceptron Using Existing Optimizers Combined with Metaheuristic Optimization Algorithms

Runoff prediction of urban stream based on the discharge of pump stations using improved multi-layer perceptron applying new optimizers combined with a harmony search

Development of a Revised Multi-Layer Perceptron Model for Dam Inflow Prediction

Runoff Prediction Based on the Discharge of Pump Stations in an Urban Stream Using a Modified Multi-Layer Perceptron Combined with Meta-Heuristic Optimization

Development of a New 8-Parameter Muskingum Flood Routing Model with Modified Inflows

Flood Risk Analysis by Building Use in Urban Planning for Disaster Risk Reduction and Climate Change Adaptation

Application of Self-adaptive Vision-Correction Algorithm for Water-Distribution Problem

Developing a Reliability Index of Low Impact Development for Urban Areas

Collaborators (3)

Changhyun Jun

Jongjin Baik

Joong Hoon Kim

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