I am graduating soon and looking for a job! Get my CV
and professional
statements here.
I have accepted an offer at AT&T Labs and will join the
Information Visualization Research group, starting this fall.
I'm a fifth-year PhD student working with Prof. Claudio Silva in the Visualization and Geometric Computing group. We are part of the SCI Institute at the University of Utah.
My research interests are scientific visualization, geometry processing, and some computer graphics. I'm interested in point-based surface representation and processing and, more recently, in visualization systems.
I'm one of the lead designers and programmers in the VisTrails project. I have worked at Lawrence Livermore National Laboratory and the IBM Watson Research Center. I am currently an IBM PhD Student Fellow.
Oh no, a blog!
e: cscheid@sci.utah.edu
a: 72 S Central Campus Dr, Rm 4750. Salt Lake City, UT, 84112
p: +1 (801) 585-0649
f: +1 (801) 585-6513
VisTrails is a new visualization system whose goal is to provide scientists with an infrastructure that helps the exploration process inherent in developing effective visualizations. VisTrails emphasizes the importance of process provenance: it transparently keeps track of the visualizations as they are created. This facilitates exploration and reproducibility - users can always very easily go back to previous results. We also show how to reuse provenance to help users make better sense of their tasks. VisTrails was originally created for scientific visualization, but its infrastructure is equally well-suited for more general computational tasks - in particular those involving multiple separate libraries.
VisComplete: Automating Suggestions for Visualization Pipelines (preprint). IEEE Trans. Vis. Comp. Graph., 14(6):1691-1698, 2008 (Vis 2008).
Examining Statistics of Workflow Evolution Provenance: A First Study. SSDBM 2008.
Querying and Creating Visualizations by Analogy. IEEE Trans. Vis. Comp. Graph. 13(6):1560-1567 (Vis 2007). Best paper award.
Tackling the Provenance Challenge One Layer at a Time. Concurrency Computat.: Pract. Exper. 20(5):473-483, 2008.
Managing Rapidly Evolving Scientific Workflows. IPAW 2006.
VisTrails: Visualization Meets Data Management. SIGMOD 2006.
Managing the Evolution of Dataflows with VisTrails. SciFlow 2006.
VisTrails: Enabling Interactive Multiple-View Visualizations. Vis 2005.
One problem I have explored in geometry processing is that of generating high-quality triangle meshes from other representations. I have helped develop an advancing front method that is applicable to a wide range of representations. In recent collaborations, we have proposed variants of Marching Cubes that generate triangle meshes with good quality. We have also recently investigated the relation between volume integrals and isosurface integrals. In particular, our (very simple) use of the co-area formula gives a clean definition of the continuous analogue of a histogram, and direct extensions of the popular contour spectrum functions.
Revisiting Histograms and Isosurface Statistics (preprint). IEEE Trans. Vis. Comp. Graph., 14(6):1659-1666, 2008. (Vis 2008) More here.
Edge Groups: An Approach For Understanding The Quality of Marching Cubes (preprint). IEEE Trans. Vis. Comp. Graph., 14(6):1651-1658, 2008. (Vis 2008) More here.
Edge Transformations for Improving Mesh Quality of Marching Cubes. IEEE Trans. Vis. Comp. Graph., 15(1):150-159, 2009.
High-Quality Extraction of Isosurfaces from Regular and Irregular Grids. IEEE Trans. Vis. Comp. Graph. 12(5):1205-1212. (Vis 2006).
Direct (Re)Meshing for Efficient Surface Processing. Comp. Graph. Forum, 25(3):527-536. (EG 2006).
Triangulating Point-Set Surfaces with Bounded Error. SGP 2005.
Bandwidth Selection and Reconstruction Quality in Point-Based Surfaces. IEEE Trans. Vis. Comp. Graph., to appear, 2009.
Optimal Bandwidth Selection for MLS Surfaces. SMI 2008. Best paper award.
A Unified Projection Operator for MLS Surfaces. Tech report.
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Marching Cubes with no Skinny Triangles. IEEE Computing in Science and Engineering, (to appear)
Direct Volume Rendering: A 3D Plotting Technique for Scientific Data. IEEE Computing in Science and Engineering, 10(1):88-92, 2008.
Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes. SIBGRAPI 2007.
Practical CFD Simulations on the GPU using SMAC. Comp. Graph. Forum, 24(4):715-728, 2005. source