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Dr. Roxana Bujack
Data Science at Scale Team
Los Alamos National Laboratory
P.O. Box 1663
Los Alamos, NM 87545
USA


Email bujack (at) lanl.gov
Phone +1 505 6677108
CV PDF

About Currently, I am a staff scientist in the Data Science at Scale Team at Los Alamos National Laboratory.
I graduated in mathematics and computer science and received my PhD in the Image and Signal Processing Group at Leipzig University.

Then, I worked as a postdoctoral researcher at IDAV at the University of California, Davis and
at the Computer Graphics and HCI Group at the Technical University Kaiserslautern.
My research interests include visualization, pattern recognition, vector fields
, moment invariants, Lagrangian flow representations, image processing, big data, and Clifford analysis.



Recent Publications
http://www.informatik.uni-leipzig.de/~bujack/2016EuroVisM.png?attredirects=0 Mathias Hummel and Roxana Bujack and Kenneth I. Joy and Christoph Garth.
Error Estimates for Lagrangian Flow Field Representations.
EuroVis 2016, Groningen, Netherlands.
Awarded best short paper.
PDF   BibTeX
http://www.informatik.uni-leipzig.de/~bujack/2016EuroVisJ.png?attredirects=0 Jennifer Chandler and Roxana Bujack and Kenneth I. Joy.
Analysis of Error in Interpolation-Based Pathline Tracing.
EuroVis 2016, Groningen, Netherlands.
PDF   BibTeX
http://www.informatik.uni-leipzig.de/~bujack/2016EnvirVis.png?attredirects=0 Roxana Bujack and Ariane Middel.
Strategic Initiatives for Flow Visualization in Environmental Sciences.
Workshop on Visualisation in Environmental Sciences (EnvirVis 2016).
PDF   BibTeX
https://sites.google.com/site/roxanabujack/gallery/2016PacificVis.png?attredirects=0 Roxana Bujack and Mario Hlawitschka and Kenneth I. Joy.
Topology-Inspired Galilean Invariant Vector Field Analysis.
IEEE Pacific Visualization Symposium (PacificVis), Taipei, Taiwan, 2016.
PDF   BibTeX


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