Yang Lei
Deputy Section Manager Research Scientist Professor at National Space Science Center, CAS
Beijing, China
Summary
👤
Senior🎓
Top SchoolYang Lei is a research scientist and deputy section manager at the National Space Science Center, CAS, with nine years of experience translating electromagnetic scattering theory into practical radar remote sensing applications for vegetation, snow, ice and planetary subsurfaces. He holds a PhD in Electrical and Computer Engineering and has led projects at Caltech and JPL, developing physics-based retrieval algorithms, full-wave radar simulators, and single-satellite InSAR techniques that significantly reduce mission cost and complexity. His open-source work includes widely used Python tools for Forest Stand Height inversion, dense-feature ice motion tracking (autoRIFT/Geogrid), and a large-scale full-wave radar simulator, demonstrating a commitment to reproducible science and operational software. Yang’s research blends theoretical electromagnetics with hands-on field validation and remote-sensing mosaicking, from tropical forests to Europa radar sounding simulations. He teaches and mentors on microwave remote sensing, SAR/InSAR processing, and radar engineering, bridging advanced theory and practical implementation. Based in Beijing, he combines rigorous academic credentials with cross-institutional experience that spans NASA, Caltech and international space agencies.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, 3.9/4.0, Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, 3.9/4.0 at Beihang UniversityMaster of Science (M.S.), Electrical and Computer Engineering, 4.0/4.0, Master of Science (M.S.), Electrical and Computer Engineering, 4.0/4.0 at University of Massachusetts Amherst
English, Chinese
Github Skills (38)
inversion10
python10
height10
image-processing10
insar10
geopandas10
raytracing10
roi10
forge10
coordinates10
geographic10
pixel10
jpl10
correlation10
noaa10
Programming languages (3)
Github contributions (5)
nasa-jpl/autoRIFT
Aug 2019 - Sep 2022
A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images
Contributions:22 releases, 11 reviews, 351 commits in 3 years 2 months
pythonfindingpython-moduleimage-processingdisplacement
leiyangleon/FSH
May 2017 - Nov 2020
This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.
Contributions:246 commits, 4 PRs, 231 pushes in 3 years 6 months
inversioniscejplinsarpac
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