Launch week offerEnds in00h00m00s

annual Promonthly Pro

Heechan Han

Assistant Professor

Inha University

South Korea

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in South Korea Professors in Hydrology Hydrology professors in South Korea

Articles (15)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (6)

Seonggyu Park

Assistant Professor

Texas Tech University

UNITED STATES

View details

Hung Soo Kim

Inha University

SOUTH KOREA

View details

Mohammad Hadi Bazrkar

Assistant Professor

Texas A&M University

UNITED STATES

View details

Hyeonjun Kim

Professor

Korea University of Science and Technology

SOUTH KOREA

View details

Kyunghun Kim

Inha University

SOUTH KOREA

View details

Narae Kang

Korea Institute of Civil Engineering and Building Technology

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Heechan Han

Research Interests

Make your next move.

Explore related searches

Articles (15)

Multi-Model Comparison of Hydrologic Simulation Performance Using DWAT, PRMS, and TANK Models

Deep Learning-Based Downstream Water Level Prediction Enhanced by Upstream Predict Information

Application of LSTM and Climate Index for Prediction of Meteorological Drought in South Korea

Multi-Hazard Susceptibility Mapping Using Machine Learning Approaches: A Case Study of South Korea

Utilizing deep learning algorithm and high-resolution precipitation product to predict water level variability

Application of an Ensemble Stationary-Based Category-Based Scoring Support Vector Regression to Improve Drought Prediction in the Upper Colorado River Basin

Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin

Long-term effects of wildfires on river water quality: a comprehensive review of the variability of water quality in South Korea

Predicting Flood Water Level Using Combined Hybrid Model of Rainfall-Runoff and AI-Based Models

Application of AI-Based Models for Flood Water Level Forecasting and Flood Risk Classification

Development of Heavy Rain Damage Prediction Technique Based on Optimization and Ensemble Method

Dam inflow prediction using large-scale climate variability and deep learning approach: a case study in South Korea

Machine learning approach for the estimation of missing precipitation data: a case study of South Korea

Spatiotemporal Evaluation of Satellite-Based Precipitation Products in the Colorado River Basin

Flood risk assessment using an indicator based approach combined with flood risk maps and grid data

Collaborators (6)

Seonggyu Park

Hung Soo Kim

Mohammad Hadi Bazrkar

Hyeonjun Kim

Kyunghun Kim

Narae Kang

Make your next move.