Topological Methods in Data Analysis and Visualization: Theory, Algorithms, and Applications
TopoInVis 2013 at the ARC Conference Center
UC Davis March 4-6, 2013
Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the extension of concepts to time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc.
In this forum we will bring together the most prominent and best recognized researchers in the field of topology-based data analysis and visualization for a joint discussion and scientific exchange of the latest results in the field.
At the workshop we will discuss topics, which include:
- scalar/vector/tensor field topology
- topology of point sets and cell complexes
- multi-field topology
- theoretical models
- combinatorial methods and robustness
- multi-scale representation models
- higher-order topological methods
- time-dependent methods
- feature extraction
- Lagrangian coherent structures
- topology-based denoising
- topological similarity and correlation
- topology simplification
- user interfaces and visualization
- domain specific interpretation of topological constructs and results
- efficiency of topological algorithms
The 2013 workshop in Davis, USA follows the four successful workshops in 2005 (Budmerice, Slovakia), 2007 (Grimma, Germany), 2009 (Snowbird, USA), and 2011 Zurich, Switzerland. It will be held in an open atmosphere of informal discussions, open exchange and personal interaction. Submissions are peer-reviewed before the workshop. All accepted papers must be presented at the workshop. A selection of the papers presented at the workshop will be invited for a book published in the Mathematics + Visualization series of Springer.
Program Chairs (alphabetic order): Peer-Timo Bremer (LLNL), Ingrid Hotz (Zuse Institute Berlin), Valerio Pascucci (University of Utah), and Ronald Peikert (ETH Zürich)