Xavier Tricoche
Scholar

Xavier Tricoche

Google Scholar ID: iL-hxJoAAAAJ
Associate Professor of Computer Science, Purdue University
VisualizationHigh-Performance ComputingFluid DynamicsGranular MaterialsMedical Imaging
Citations & Impact
All-time
Citations
793
 
H-index
14
 
i10-index
22
 
Publications
20
 
Co-authors
44
list available
Contact
Resume (English only)
Background
  • Xavier Tricoche is an Associate Professor of Computer Science at Purdue working in visualization and data analysis within the Computer Graphics and Visualization lab. The goal of his research is to create algorithms and tools that facilitate the visual exploration and analysis of increasingly large and complex data. In particular, he applies topological and differential geometric concepts to the visualization of phenomena controlled by dynamical systems, such as fluid flows and planetary systems. Dr. Tricoche also designs methods for the structural analysis of medical imaging data and creates specialized data representation and reconstruction techniques for large scale applications. Tricoche's work is fundamentally multi-disciplinary and he always welcomes new collaborations.