School of Computing

LDAV 2012 Best Paper: Gaussian Mixture Model Based Volume Visualization, by Liu, Levine, Bremer and Pascucci

Dr. Josh Levine

Dr. Josh Levine and coauthors received the Best Paper award at the 2012 IEEE Symposium on LDAV (Large Data Analysis and Visualization) held in Seattle, Washington October 14-15, 2012. The coauthors are Shusen Liu, Peer-Timo Bremer, and Valerio Pascucci, all of whom are with the Scientific Computing and Imaging Institute at the University of Utah.

Josh Levine

 Dr. Josh Levine is a new Assistant Professor in the School of Computing at Clemson University. He was recently a Postdoctoral Research Associate at the Scientific Computing and Imaging Institute at the University of Utah. He received Bachelors degrees in Computer Engineering and Mathematics (2003) and a Masters degree in Computer Science (2004) from Case Western Reserve University. He received his PhD in Computer Science from The Ohio State University (2009). His research interests include geometric modeling, scientific visualization, mesh generation, topological methods, medical imaging, and computational geometry, and the specific role in which these areas are relevant to the scientific discovery process. He has co-authored best papers in the International Meshing Roundtable (2010) and the IEEE Pacific Visualization Symposium (2011).