Shenglan D
PhD Candidate
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolShenglan D is a PhD candidate in 3D Geoinformation at TU Delft with eight years of experience bridging machine learning and 3D geodata analysis for urban applications. Working within the AI-lab 3DUU, Shenglan focuses on 3D understanding and modeling to improve how cities are represented and analyzed computationally. Her research combines applied ML techniques with domain knowledge in geomatics to tackle challenges like semantic scene understanding and large-scale 3D data processing. Based in Delft, she brings a research-driven yet application-oriented approach, translating novel algorithms into practical tools for urban planning and geospatial intelligence. Notably, her background suggests a strong capacity to work across academic collaborations and software development pipelines, even where datasets and models are large and heterogeneous.
8 years of coding experience
TU Delft
Chinese, English
Github Skills (5)
hierarchical9
forestry8
modeling8
tree7
javascript2
Programming languages (4)
Github contributions (5)
shenglandu/PushBoundary
Sep 2022 - Mar 2023
Contributions:5 commits, 14 pushes, 1 branch in 6 months
nexiel/2017_Group6_Criminal_Counter
Nov 2017 - Jan 2018
Contributions:1 release, 28 pushes, 2 tags in 1 month
mscgisgeomatics
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