Research output per year
Research output per year
Personal profile
In Korean
이기하 교수(과학기술대학 건설방재공학과)
Education
o (2003) B.S., Chungnambuk National University
o (2005) M.S., Chungnam National University
o (2008) Ph.D., Kyoto University
o (2005) M.S., Chungnam National University
o (2008) Ph.D., Kyoto University
Professional Experience
o (2020~Present)Head of BK21 Four Research Center: Young Engineer education for Multidisciplinary Smart Disaster Management
o (2023~Present) Professor, Kyungpook National University
o (2018~2023) Associate Professor, Kyungpook National University
o (2013~2018) Assistant Professor, Kyungpook National University
o (2012~2013) Legislative Researcher, National Assembly Research Service
o (2009~2012) Researcher, International Water Resources Institute, Chungnam National University
o (2008~2009) Postdoctoral Researcher,DPRI, Kyoto University
o (2023~Present) Professor, Kyungpook National University
o (2018~2023) Associate Professor, Kyungpook National University
o (2013~2018) Assistant Professor, Kyungpook National University
o (2012~2013) Legislative Researcher, National Assembly Research Service
o (2009~2012) Researcher, International Water Resources Institute, Chungnam National University
o (2008~2009) Postdoctoral Researcher,DPRI, Kyoto University
Research Interests
Rainfall-Runoff Modeling, Landslide Assessment, Flood Modeling, Deep Learning Applications, Soil Erosion Modeling, Water Disaster Management, Hydrological Modeling
Major Research Achievements
o Improving Rainfall-Runoff Modeling in the Mekong River Basin using Bias-corrected Satellite Precipitation Products by Convolutional Neural Networks
o Exploring the power of physics-informed neural networks for accurate and efficient solutions to 1D shallow water equations
o Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea
o Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
o Exploring the power of physics-informed neural networks for accurate and efficient solutions to 1D shallow water equations
o Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea
o Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
url
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI
Van, L. N., Tran, V. N., Nguyen, G. V., Yeon, M., Do, M. T. T. & Lee, G., Jul 2024, In: Ecological Informatics. 81, 102601.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Evaluating the Performance of Light Gradient Boosting Machine in Merging Multiple Satellite Precipitation Products Over South Korea
Nguyen, G. V., Le, X. H., Van, L. N., Jung, S., Choi, C. & Lee, G., 2024, Proceedings of the 4th International Conference on Sustainability in Civil Engineering - ICSCE 2022. Nguyen-Xuan, T., Nguyen-Viet, T., Bui-Tien, T., Nguyen-Quang, T. & De Roeck, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 513-522 10 p. (Lecture Notes in Civil Engineering; vol. 344 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks
Le, X. H., Kim, Y., Van Binh, D., Jung, S., Hai Nguyen, D. & Lee, G., Feb 2024, In: Journal of Hydrology. 630, 130762.Research output: Contribution to journal › Article › peer-review
Open Access6 Scopus citations -
National variability in soil organic carbon stock predictions: Impact of bulk density pedotransfer functions
Do, M. T. T., Van, L. N., Le, X. H., Nguyen, G. V., Yeon, M. & Lee, G., 2024, (Accepted/In press) In: International Soil and Water Conservation Research.Research output: Contribution to journal › Article › peer-review
Open Access -
Use of Disdrometer Dataset to Detect Kinetic Energy Expenditure and Rainfall Intensity Relationships
Van, L. N., Le, X. H., Nguyen, G. V., Yeon, M., Kim, Y. & Lee, G., 2024, Proceedings of the 4th International Conference on Sustainability in Civil Engineering - ICSCE 2022. Nguyen-Xuan, T., Nguyen-Viet, T., Bui-Tien, T., Nguyen-Quang, T. & De Roeck, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 503-511 9 p. (Lecture Notes in Civil Engineering; vol. 344 LNCE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review