CV

Education

• Ph.D in Remote Sensing and Geographic Information System (GIS), Zhejiang University, 2017-2023
• Visiting Ph.D student in Geoinformatics, University of Salzburg, 2021-2022
• B.Eng in Geodesy and Geomatics Engineering (major), Hohai University, 2013-2017
• B.BA in Business Administration (minor), Hohai University, 2014-2017

Technical Skills

• Progamming: Python, R, C++, Matlab
• Tools: TensorFlow, PyTorch, scikit-learn, OpenCV, GDAL, Rasterio, scikit-image, pandas, Google Earth Engine, Git
• Software: QGIS, ArcGIS, ENVI, Agisoft Photoscan, PostgreSQL, Adobe Photoshop, Inkscape, MS Office
• Operating Systems: Windows, Linux

Research Experience

• Sept 2017 – Sept 2023: PhD Researcher
  • Zhejiang University, School of Earth Sciences
  • Duties includes:
    • Collected very high spatial resolution remote sensing imagery from the Google Earth platform; created and published a COCO format dataset for the segmentation task of yardang landform
    • Implemented and improved a CNN-based deep learning model to detect, classify, and delineate yardangs and evaluated the algorithm accuracy with the change of image resolution and spatial content
    • Conducted a large-scale mapping of yardangs using the proposed deep learning model; extracted the morphological parameters (length, width, aspect ratio, orientation, area, etc.) of more than 680,000 yardangs using open-source tools and auto-process scripts to reveal their spatial distribution
    • Utilized the statistical model (PLS-SEM) to analyze the relationships between yardang abundance at the landscape scale and its impact factors (wind, soil, topography, precipitation, etc.) derived from multi-source remote sensing and geospatial datasets
    • Constructed 3D terrain model of yardangs with Agisoft Photoscan using UAV images; modeled its near-surface wind field
    • Studied land surface erosion process in arid regions using landscape evolution modeling (Landlab)
    • Worked with team to extract other geomorphic features (dyke swarms, triangular facets) with diverse computer vision approaches
  • Supervisor: Prof. Ninghua Chen
• Jun 2021 – Jun 2022: Visiting PhD Researcher
  • Paris Lodron University of Salzburg, Department of Geoinformatics - Z_GIS
  • Duties included:
    • Worked with the Risk, Hazard & Climate and EO Analytics research group to apply deep learning models (Mask R-CNN, Unet) to map landslides based on multispectral/SAR imagery
  • Supervisor: Prof. Dr. Thomas Blaschke
• Jan 2020 – Dec 2022: Researcher
  • China National Silk Museum
  • Duties included:
    • Worked with a team for the development of Jinshow World Silk Interactive Map (an information database and demonstration platform for silk cultural heritage, National Key R&D Program of China)
    • Designed data storage schema for structural and non-structural data
    • Pre-processed data, including data cleaning and spatializing with PostgreSQL and Python
    • Assisted in the paperwork for the project proposal, final report, and technical documents
• Jan 2018 – Dec 2019: Software Developer
  • Second Institute of Oceanography of the Ministry of Natural Resources of China
  • Duties included:
    • Developed a standalone GIS application with C++ based on QGIS 2 API to manage and process raster/vector data for offshore environment research

Languages

• Chinese (Native)
• English (Proficient/C1)
• French (Conversational)
• German (Beginner)

Service and leadership

• College Counselor, Chu Kochen Honors College at Zhejiang University, 2018-2019
• Leader, Choir of the Graduate Art Troupe at Zhejiang University, 2018-2019
• Vice Director, Publicity Department of the Doctoral Students’ Union at Zhejiang University, 2017-2018