Zhe Su
Scholar

Zhe Su

Google Scholar ID: RoWfGCEAAAAJ
Auburn University
Differential GeometryTopological Data AnalysisShape AnalysisMachine Learning
Citations & Impact
All-time
Citations
104
 
H-index
7
 
i10-index
3
 
Publications
16
 
Co-authors
11
list available
Publications
16 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers, including but not limited to:
  • - 'Topological Data Analysis and Topological Deep Learning Beyond Persistent Homology - A Review' (preprint)
  • - 'Manifold Topological Deep Learning for Biomedical Data' (preprint)
  • - 'Artificial intelligence approaches for anti-addiction drug discovery' (published)
  • - 'Topology-preserving Hodge Decomposition in the Eulerian Representation' (published)
  • - 'Persistent de Rham-Hodge Laplacians in Eulerian representation for manifold topological learning' (published)
  • - 'Hodge decomposition of vector fields in Cartesian grids' (SIGGRAPH Asia 2024 Conference Papers)
  • - And several other journal and conference papers.
Research Experience
  • Previously a research associate at Michigan State University, working with Guowei Wei; held a postdoc position at the University of California, Los Angeles, where he worked with Shantanu Joshi.
Education
  • PhD from Florida State University, supervised by Eric Klassen and Martin Bauer.
Background
  • Currently an Assistant Professor at Auburn University. Research interests include Differential Geometry, Topological and Geometric Data Analysis, Shape Analysis, Data Science, and Machine Learning/Deep Learning. Aims to develop mathematical frameworks to address interdisciplinary problems in mathematics, data science, and machine learning.