
Bob Ahl
Chuck Atkins
Michel Audette
Lisa Avila
Rick Avila
Utkarsh Ayachit
Stephen R Aylward
Adrien Bailly
Sébastien Barré
Arslan Basharat
Andrew Bauer
Jeffrey Baumes
Jacob Becker
François Bertel
Rusty Blue
Matt Bowman
Aashish Chaudhary
Harvey Cline
David Cole
Roddy Collins
Jon Crall
Katie Cronen
Naresh Cuntoor
Ann D'Alessio
Brad Davis
Dave DeMarle
Andinet Enquobahrie
Jean-Christophe Fillion-Robin
Julien Finet
Yvette Fitzgerald
Zack Galbreath
Berk Geveci
Casey Goodlett
Christopher Greco
Marcus Hanwell
Bill Hoffman
Naomi Hoffman
Anthony Hoogs
Luis Ibáñez
Julien Jomier
Steve Jordan
Sebastien Jourdain
Brad King
Donna Kochis
Karthik Krishnan
Charles Law
Mikael Le Gall
Matt Leotta
Zhanping Liu
Pat Marion
Ken Martin
Robert Maynard
Kerri Miller
Zach Mullen
Bob O'Bara
Sangmin Oh
David Partyka
Amitha Perera
Patrick Reynolds
Niki Russell
Will Schroeder
David Stoup
Eran Swears
Matt Turek
Wes Turner
Theresa Vincent
Hua Yang
Yumin Yuan

Dr. Liu received his B.S. in mathematics from Nankai University (1992) and Ph.D. in computer science from Peking University (2000), both in China. He worked as a post-doctoral associate with the Micro-CT Lab in the Department of Radiology at the University of Iowa and then as a research scientist with the Visualization, Analysis and Imaging Lab in the High-Performance Computing Collaboratory (HPC2, formerly the NSF ERC --- Engineering Research Center for Computational Field Simulation) at Mississippi State University. He joined Kitware in September 2008 as an R&D engineer.
Dr. Liu has participated in a series of NSF, NIH, and DoD projects as a lead scientist and has developed diverse, in-depth R&D expertise in flow visualization, volume visualization, terrain visualization, and computer graphics. His original work has been published in top-level international journals (e.g., IEEE TVCG, EuroGraphics Computer Graphics Forum) and conferences (e.g., IEEE Visualization, EuroGraphics/IEEE VGTC EuroVis/VisSym). Among his innovative algorithms, AUFLIC (Accelerated Unsteady Flow Line Integral Convolution) and ADVESS (ADVanced Evenly-Spaced Streamline placement) are the fastest (10X faster than the others of their respective kinds) software-based, high-quality visualization methods. Dr. Liu serves as a program committee member of International Symposium on Visual Computing (ISVC08) and IS&T/SPIE Visualization and Data Analysis (VDA09). He is an active paper reviewer for IEEE TVCG, IEEE CGA, IEEE VIS, IEEE CiSE, IEEE PacificVis, ISVC, VDA, JOV, and IJCAT. More information may be obtained from his home page at http://www.zhanpingliu.org.