Yunting Song is a Ph.D. candidate in the Department of Geographical Sciences at the University of Maryland, College Park. She earned a bachelor’s degree in Remote Sensing Science and Technology from Wuhan University in 2018. Her research interests include the efficient representation and generation of terrain models, terrain analysis based on hierarchical data structures, and the extension of those algorithms to distributed computing frameworks. She is also interested in applying those techniques to different applications, including bathymetric modeling and sea ice topography study. 

CV: resume_research.pdf184.44 KB


  • Degree Type
    Degree Details
    Wuhan University, 2014


  • 2022-03-28
    Ann G. Wylie Dissertation Fellowship
  • 2022-05-06
    Excellence in Graduate Research Award, Third Place


  • Presented our paper "Efficient topology-aware simplification of large triangulated terrains" at ACM SIGSPATIAL 2021
  • Presented a poster on "Terrain Trees Library: a tool for efficient and scalable terrain mesh processing" at AGU Fall Meeting 2021

Research Topics

  • Geospatial-Information Science and Remote Sensing
Yunting Song
4600 River Road, Suite 334H1 (send mail to 2181 LeFrak)
Department of Geographical Sciences
ytsong [at]