Kelin Xia
Scholar

Kelin Xia

Google Scholar ID: jZ0sEWYAAAAJ
Associate Professor, School of Physical & Mathematical Sciences, Nanyang Technological University
Topological data analysisGeometric data analysisTopological deep learningMathematical AI
Citations & Impact
All-time
Citations
2,651
 
H-index
26
 
i10-index
60
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Listed as one of the World's Top 2% Scientists by Stanford & Elsevier (2024, 2025); Published numerous papers and given academic talks globally.
Research Experience
  • Serves on the editorial boards of several journals including Journal of Physics: Complexity, Computational and Structural Biotechnology Journal, etc.; involved in or leading multiple research fund projects such as 'Physics-informed sheaf neural network for chemical data analysis', 'Topology-enhanced physical models for biopolymer structure and interaction analysis', etc.
Education
  • Information Insufficient
Background
  • Research Interests: Mathematical AI for Molecular Sciences; Professional Field: Topological Data Analysis, Geometric and Variational Modeling, Scientific Computing; Brief Introduction: Associate Professor at the School of Physical and Mathematical Sciences, Nanyang Technological University, focusing on using computational tools from PDE, differential geometry, algebraic topology, and statistical learning to study material, chemical, and biomolecular structure, flexibility, dynamics, and functions.
Miscellany
  • Welcomes highly motivated students and postdocs to join the group.