Yanghui Kang
Assistant Professor at Virginia Tech
Blacksburg, Virginia, United States
Summary
👤
Senior🎓
Top SchoolYanghui Kang is an Assistant Professor and applied remote sensing researcher with eight years of experience developing machine learning and high-performance computing solutions for agricultural and ecosystem monitoring. He builds continental-to-global Leaf Area Index (LAI) estimation frameworks using Landsat and Sentinel-2, and has tackled uncertainty quantification and evapotranspiration impacts to improve water management for specialty crops. His background spans a PhD in Geography and MS degrees in Computer Science and Environmental Resources from the University of Wisconsin–Madison, blending strong computational skills with domain expertise. Previously a SCINet postdoc at USDA-ARS and a postdoctoral researcher at UC Berkeley, he pairs academic rigor with experience coordinating HPC-focused initiatives and geospatial data libraries. Based in Blacksburg, Virginia, he is motivated to translate remote sensing science into operational tools through interdisciplinary collaboration.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Geographic Information Science and Cartography, Bachelor's degree, Geographic Information Science and Cartography at Beijing Normal UniversityDoctor of Philosophy - PhD, Geography - Remote sensing, Agriculture, Doctor of Philosophy - PhD, Geography - Remote sensing, Agriculture at University of Wisconsin-Madison
Github Skills (25)
explainable-artificial-intelligence6
predictive-modeling6
cross-validation5
trainings5
iml5
interpretable-machine-learning5
xai4
language-agnostic4
lime4
dalex4
binary-classification4
h33
data-science3
machine-learning3
geospatial2
Programming languages (3)
Github contributions (5)
yanghuikang/Landsat-LAI
Dec 2020 - Sep 2022
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
Contributions:2 releases, 13 commits, 4 PRs in 1 year 8 months
yanghuikang/SCINET-GEOSPATIAL-RESEARCH-WG
Jul 2020 - Aug 2020
materials for the working group's meetings, workshops, trainings
Contributions:5 pushes in 23 days
wcsgeospatialgeographyh3trainings
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