Assistant Professor of Computer Science
Joined department: Fall 2007
PhD, Computer Science
University of Kaiserslautern, Germany (2002)
MSc, Applied Mathematics
Universite Joseph Fourier (Grenoble, France) (1998)
Engineer's Degree, Computer Science
ENSIMAG (Grenoble, France) (1998)
Dr. Xavier Tricoche is a member of the Computer Graphics and Visualization group. His research aims
to create new methods for scalable processing and interactive visual analysis of large datasets. His
main topics of interest include fluid dynamics, granular materials, orbital mechanics, structural
analysis of vector and tensor fields, topology and dynamical systems, medical image analysis,
high-performance computing, and computer graphics. Dr. Tricoche received his PhD in Computer Science
from the University of Kaiserslautern, Germany in 2002. He holds a MSc in Applied Mathematics from
the University of Grenoble in France and an Engineering Degree in Computer Science from ENSIMAG. Dr.
Tricoche has previously taught at the University of Utah and the University of Kaiserslautern.
X. Tricoche, C. Garth, A. Sanderson, "Visualization of Topological Structures in Area Preserving
Maps", IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 1765-1774,
S. Barakat, N. Andrysco, X. Tricoche, "Efficient Extraction of High-Quality Crease Surfaces for
Visual Analysis", Computer Graphics Forum, 30(3), pp. 961-970, 2011.
A. Sanderson, G. Chen, X. Tricoche, D. Pugmire, S. Kruger, J. Breslau, "Analysis of Recurrent
Patterns in Toroidal Magnetic Fields", IEEE Transactions on Visualization and Computer
Graphics, 16(6), pp. 1431-1440, 2010.
Xavier Tricoche and Christoph M. Hoffmann, Vol. Support - Intel, Intel Corporation,
Christoph M. Hoffmann and Xavier Tricoche, Intel gift, Intel Corporation, 9/1/2008.
Xavier Tricoche, Career: Efficient Structural Analysis of Multivariate Fields for Scalable
Visualization, National Science Foundation, 7/1/2012-6/30/2017.
Xavier Tricoche, Collaborative Research: A Unified Dynamical Systems-Simulation-Visualization
Approach to Modeling and Analyzing Granular Flow Phenomena, National Science Foundation,
Xavier Tricoche, Intel Gift, Intel Corporation, 12/10/2012.
Last Updated: February 07, 2013 11:46am