Shan Ye
Scholar

Shan Ye

Google Scholar ID: 4NHcytwAAAAJ
National Institute of Clean-and-Low-Carbon Energy
data-driven geosciencegeoscientific data qualitygeoinformatics
Citations & Impact
All-time
Citations
102
 
H-index
6
 
i10-index
3
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Research Experience
  • R&D Engineer at the Department of Scientific Intelligence and Computing, National Institute of Clean-and-Low-Carbon Energy (NICE), focusing on AI for Science
  • Former Assistant Professor in the Department of Computer Sciences and Artificial Intelligence, School of Information Engineering, China University of Geosciences (Beijing), 2023–2024
  • Developed and taught three new courses from scratch: Introduction to Artificial Intelligence, Data Analysis and Visualization, and Computer Vision
  • Supervised ~15 undergraduate theses in software engineering, computer science, data science, and AI
  • Previously served as temporary lecturer or teaching assistant at University of Tulsa, University of Michigan, and Penn State
Background
  • Data-driven geoscientist, software engineer, and AI for Science (AI4S) researcher
  • Hybrid background in geoscience and computer science
  • Primary research interests focus on using data-driven methods to explore and address Earth-related problems, especially in paleoclimate and paleogeography
  • Involved in projects on geoscientific software development, quantitative stratigraphy, and spatiotemporal analytics
  • Participant in the Deep-time Digital Earth (DDE) project
  • Co-founder of GISphere Corporation
Co-authors
0 total
Co-authors: 0 (list not available)