Research Interests 

[Main Project Link]

1. Uncertainty of Soil Moisture

2. Land Data Assimilation

3. Deep Learning with Satellite Dataset

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Publications

[1] S. Kim, H. Kim*, Y. Kwon and H. Nguyen, A Stand-Alone Framework for Predicting Spatiotemporal Errors in Satellite-Based Soil Moisture Using Tree-Based Models and Deep Neural Networks, GIScience & Remote Sensing (link)

[2] S. Kim, N. Myoung, S. Jun, and A. Go, “Neural network-based recognition of multiple nanobubbles in graphene”, Curr. Appl. Phys., 68, 44-50 (2024). 

[3] S. Lee, J. Kang, S. Kim, J. Jeong, G. Moon, and H. Noh, "Magnetic-field enhanced modulation transfer spectroscopy: theory and experiment", Opt. Express, 29(21), 34770-34780 (2021).

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Awards

[1] Korea Research Foundation Master’s Scholarship Recipient (2024-2025)

[2] 1st Place in 5-Minute Student Competition, Korean International Water Week (KIWW) (2025)

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Conference Papers 

[1] S. Kim, Y. Kwon, H. Kim*, Spatially Continuous Error Maps for Satellite-based Soil Moisture Data Using Machine Learning Approzach, KWRA, 2024

[2] S. Kim and H. Kim*, Developing Temporally Continuous Error Maps for Satellite-based Soil Moisture Data Using Deep Learning Approaches to Enhance Numerical Weather Prediction, COSPAR, 2024

[3] S. Kim, Y. Kwon, and H. Kim*, Enhancing Land Data Assimilation By Considering Spatio-Temporal Error Dynamics of Satellite-based Soil Moisture Data: Integrating TCA and Deep Learning for Accurate Uncertainty Estimation, AGU, 2024

Research Interests 

1. Satellite-Based Soil Moisture Retrieval and Validation
2. Remote Sensing for Hydrology
3. Machine Learning and Deep Learning for Environmental Monitoring

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‍Awards

[1] Academic Paper Award at the Domestic Conference of the Korean Society of Environmental Engineers (2023)
[2] President’s Award at GIST School of Earth and Environmental Engineering Olympiad (2023)

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Conference Papers 

[1] E. Choi et al., Elimination of Micropollutant Using Aniline-Derived Metal-Carbon Composite (Me-NC) in Catalytic Ozonation: Process Efficiency and Mechanistic Understanding, Korean Society of Environmental Engineers, Yeosu, Republic of Korea(2024)
[2] E. Choi et al., Elimination of Micropollutant Using Aniline-Derived Metal-Carbon Composite (MeNC) in Catalytic Ozonation: Process Efficiency and Mechanistic Understanding, Korean Society of Water & Wastewater, Daejeon, Republic of Korea (2024)
[3] E. Choi et al.,, Elimination of Micropollutant Using Aniline-Derived Metal-Carbon Composite (Me-N-C) in Catalytic Ozonation: Process Efficiency and Mechanistic Understanding, Korean Society of Environmental Engineers, Busan, Republic of Korea (2023)

Research Interests 

[Main Proejct Link]

1. Remote sensing of flood 

2. Water resource prediction and management 

3. Exploring the impact of urban and transportation system of water disaster

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Conference Papers 

[1] S. Lee and H. Kim*, Water Quality Trend Analysis using Landsat and Sentinel Series based on Machine Learning/Deep Learning Methods, KWRA, 2024

[2] S. Lee and H. Kim*, Estimation of Inland Water Quality Indicators using Satellite and Machine Learning, COSPAR, 2024

[3] S. Lee and H. Kim*, Development of Chlorophyll-ɑ Prediction Model for Inland Reservoirs Using Satellite and Land Surface Model: Applying Deep Learning Approach, AGU, 2024

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Experiences

[1] (Sep 2022 - Feb 2023) Korea Railroad Research Institute, Research Assistant

[2] (Jan 2016 - Nov 2019) Ulleung County Office, Assistant Director

Research Interests 

[Main Project Link]

1. Constructing satellite-based soil moisture core validation site (CVS) in Korea

2. In-situ soil moisture retrieval

3. Land surface model (LSM) and hydrological cycles

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Conference Papers

[1] K. Park, S. Do, K. Kim, V. Lakshmi, and H. Kim*, Flood Detection in East Asia in the 2023 Monsoon Season with Satellite-based Earth Observations, AGU 2024

[2] K. Park, D. Kim, and H. Kim, Developing the First Long-Term Soil Moisture and Brightness Temperature Measurement Site in South Korea Using L-Band Radiometers and Drones, AGU 2024

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Research Interests

1. Exploring snow dynamics and its implications for other hydrological cycles

2. Wildfire detection and prediction

3. Development of data fusion methods

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Awards

[1] 3rd Place in 5-Minute Student Competition, Korean International Water Week (KIWW) (2025)

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Experiences

[1] (Jun 2022 - May 2024) Korea Aerospace Research Institute, Department of Satellite Operation, Jeju Island, Republic of Korea

[2] (Oct 2021 - Mar 2022) Asian Disaster Preparedness Center, Bangkok, Thailand

[3] (Nov 2018 - Feb 2019) Space Science Laboratory on Campus, Yongin, Republic of Korea

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Conference Papers

[1] 2024 N. Kwon, E. Cho, H. Kim, Impact of Altered Snow Patterns on Spring Wildfires in Korean Peninsula Using Reanalysis Data in a Warming Climate, AGU 2024

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Research Interests

1. Satellite-Based Hydrological and Environmental Monitoring
2. Monitoring of Soil Moisture and Hydrological Changes under Climate Change
3. Satellite-Assisted Pollutant Transport Modeling

‍Conference Papers

-

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Research Interests

1. Use of Earth-observing Satellite Data for Drought Monitoring

2. Land-atmosphere Feedback Mechanisms and Their Role in Exacerbating Drought Conditions.

3. Examine Global Drought Trends and Characteristics.

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Awards

[1] Asia Oceania Geosciences Society (AOGS) 2024 Best Student Poster Award winner

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Conference Papers

[1] A. Bolatbekkyzy and H. Kim*, Comparative Analysis of the 2021-2022 Droughts in Kazakhstan, South Korea, and the USA using Remote Sensing and Reanalysis Data, 2024 Asia Oceania Geosciences Society (AOGS)

[2] A. Bolatbekkyzy, H. Nguyen, H. Kim*,  Global-scale Satellite-based Agricultural Drought Monitoring from the Land Atmosphere Interaction Perspective, 2024 American Geophysical Union (AGU)

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Exchange Program

Participating in an exchange program at Czech Technical University in Prague (February 2025 - June 2025).

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‍Research Interests

1. Hydrological Cycle and Flood 

2. Sentinel-1 Data Analysis with ESA SNAP (Sentinel Application Platform)

3. Deep Learning Model

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Awards

[1] Environmental and Energy Olympiad President’s Award (Winter 2025)

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Exchange Program

- Summer program at UC Berkeley (June 2024 - Aug 2024)

Research Interests

1. Digital Twin Earth

2. Long short-term memory networks for prediction of ungauged basins                                                                                           

3. Climate Change

‍Research Interests‍

1. L-band microwave systems

2. Analysis of marine ecosystems using satellite data

3. Mathematical modeling of ecosystems

Conference Papers

-

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Holding a Ph.D. degree with a +9-year Research and Development (R&D) experience in academia and industry for hydrometeorology and climate sectors, focusing on applications of AI and high-quality geospatial remote sensing data specialized for these sectors.

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Research Interests

1. Flash Drought Monitoring and Prediction with Deep Learning

2. Spaceborne GNSS-R and CYGNSS Soil Moisture 

3. Deep Learning for Reconstructing Satellite Observations

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Publications

[1] H.H. Nguyen,  H. Kim*,  W. Crow, S. Yueh, W. Wagner, F. Lei, J.-P. Wigneron, A. Colliander, and F. Frappart. From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring. Remote Sensing of Environment, 316, 114509 (2025).

[2] S. Kim, H. Kim*, Y. Kwon, and H.H Nguyen. A Stand-Alone Framework for Predicting Spatiotemporal Errors in Satellite-Based Soil Moisture Using Tree-Based Models and Deep Neural Networks. GIScience & Remote Sensing (under review).

[3] Z. Zhu,  H.H. Nguyen,  H. Kim*, and V. Lakshmi. Leveraging a Novel Straightforward Integration Approach for Independent CYGNSS Soil Moisture Retrieval across Vegetated Regions. Journal of Remote Sensing (under review).

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Conference Papers 

[1] H.H. Nguyen, and H. Kim*.Leveraging the TCA Method and ML Model to Reconstruct High-Resolution Satellite Soil Moisture Dataset from the Land Surface Model. Korea Water Resources Association Conference (2024)

[2] H.H. Nguyen, A. Bolatbekkyzy, and H. Kim*. Characteristic Time of Groundwater Recharge as a Climate Indicator for Monitoring Flash Drought. AGU Fall Meeting (2024)

[3] A. Bolatbekkyzy, H.H. Nguyen, and H. Kim*. Global-scale Satellite-based Agricultural Drought Monitoring from the Land Atmosphere Interaction Perspective. AGU Fall Meeting (2024)

‍Research Interests:

1. Applications of machine learning and deep learning for prediction of hydrological extremes
2. Drought in a changing climate
3. Integration of remote sensing and hydrological modeling for water resource management

Publications:

• Bakar S., Kim, H., Basara, J., Lakshmi, V. “Observational Analysis of Streamflow Response to Flash Drought Events in the Mississippi River Basin” Submitted to Weather and Climate Extremes (September 2024) (in revision)
• Bakar S., Kim, H., Basara, J., Lakshmi, V. “Investigating the vulnerability and resilience of different land cover types to flash drought: A case study in the Mississippi River Basin” Submitted to Journal of Environmental Management (September 2024) (in revision).
• Bakar, S., Kahler, D., Lakshmi, V. “Assessment of groundwater resources in the Sand River catchment, South Africa using hydrological modeling and catchment water balance approaches” Submitted to Journal of Environmental Management. (July 2024) (under review)
Kim KY, Scanlon T, Bakar S, Lakshmi V. Decoupling of Ecological and Hydrological Drought Conditions in the Limpopo River Basin Inferred from Groundwater Storage and NDVI Anomalies. Hydrology. 2023; 10(8):170. https://doi.org/10.3390/hydrology10080170

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Hometown: Roanoke, Virginia, USA

Birthdate: Jan 18, 2022

Breed: Double Doodles - Breeding of Goldendoodles (Golden Retriever + Poodle) with Labradoodles (Labrador Retriever + Poodle)

Meeting with Dooly: Anyone who wants to go for a walk with Dooly or play with her, feel free to contact me. She loves human.