Autonomous generation of alluvial fans in landscape evolution models
Han, K., Wilson, J. L., & Emry, E. (2023). Autonomous generation of alluvial fans in landscape evolution models. Earth Surface Processes and Landforms, 48(14), 2842-2863.
CV
Kyungdoe “Doe” Han
- Postdoctoral Research Associate, Department of Civil and Environmental Engineering, University of Wisconsin-Madison (advisor: Steven P. Loheide)
- Ph.D in Hydrology, Department of Earth and Environmental Science, New Mexico Institute of Mining and Technology (advisor: John L. Wilson)
Skillset
- Groundwater model
- Landscape evolution model
- Reactive transport model
- Integration of numerical models
- Weather forecast
- Hardware and firmware design of environmental monitoring systems
- In-situ optical vegetation measurements
- Integrated urban environment monitoring systems
Publications
Deciphering the interplay between tectonic and climatic forces on hydrologic connectivity in the evolving landscapes
Han, K., & Wilson, J. L. (2024). Deciphering the interplay between tectonic and climatic forces on hydrologic connectivity in the evolving landscapes. Frontiers in Water, 6, 1255883.
A Robust, Deep Learning-Based Analysis of Time-Domain Signals for NMR Spectroscopy
Han et al. (2025). "A Robust, Deep Learning-Based Analysis of Time-Domain Signals for NMR Spectroscopy." Journal of Analytical Science and Technology. Accepted article.
Talks
Transtensional faulting in the southwestern great basin governs evolution of endangered aquatic species
Talk at Geological Society of America Connects 2024, Anaheim, CA
Evaluating the impacts of solar farms on vegetation, hydrology, and microclimate
Conference proceedings talk at UW Sustainability Symposium, Madison, WI
Evaluating the Accuracy of the Water Table Fluctuation Method Near Land Cover Boundaries
Talk at AGU 2024, Washington D.C.