[Ieee_vis] TopoinVis 2025 - Call for Papers

[Raghavendra GS]

Apologies for multiple copies received if any.


IEEE VIS Workshop on Topological Data Analysis and Visualization (TopoInVis
2025)

Co-located with IEEE VIS 2025 - Vienna, Austria, 2-7 November

Call for Contributions

Topological methods have become an established framework for the extraction
and analysis of structural patterns in complex data. It has been
successfully applied in a variety of application fields, including quantum
chemistry, astrophysics, fluid dynamics, combustion, material sciences,
biology, and data science. In particular, the genericity, efficiency, and
robustness of topological methods have made them particularly well suited
for the multi-scale, interactive analysis and visualization of the
underlying structural information of data.

Despite their rising mainstream popularity, topological methods still face
a number of challenges, including, for instance, efficient computational
methods for large-scale time-varying data, the characterization of noise
and uncertainty, or the support of emerging data types, such as ensemble
data or high-dimensional point clouds.

The IEEE VIS Workshop on Topological Data Analysis and Visualization aims
to be an inclusive forum for the fast dissemination of the latest results
in theory, algorithms, and applications of topological methods for the
interactive and visual analysis of data. This workshop is open to members
of the visualization community interested in topological methods and to
experts in topological methods from other communities willing to experiment
with interactive and visual applications.

The workshop welcomes submissions of both full-length papers and posters.
The accepted papers will be presented during the workshop, and the accepted
posters will be presented at the main poster event at VIS and give a
lightning talk during the workshop.

Scope

Relevant topics include (but are not limited to):

   -

   Topological methods for the analysis and visualization of all types of
   data, including but not limited to:
   -

      Graph data
      -

      Scalar, vector, tensor, multi-field data
      -

      Time-series data
      -

      High dimensional point cloud data
      -

      Ensemble data
      -

      Data with uncertainty
      -

   Topological methods for data science (dimensionality reduction,
   clustering, etc.)
   -

   Topological methods and machine learning
   -

   Computational methods for topological data analysis and visualization
   -

   Software systems for topological data analysis and visualization
   -

   Visual analytic frameworks relying on topological methods
   -

   Applications of topological data analysis and visualization



Submission

We welcome contributions as regular papers in the IEEE VGTC format (up to 9
pages of content, plus up to 2 pages of references).

Paper submissions will be peer-reviewed by an international program
committee, including experts in topological methods for scientific data,
information visualization, visual analytics, computational geometry,
computational topology, and machine learning.

Accepted papers will be published in the IEEE Xplore Digital Library.

Poster contributions should adhere to the IEEE VIS Guidelines. While VIS
has no specific formatting requirements, posters can be no larger than size
A0 (841 x 1189 mm / 33.1 x 46.8 inches) and must be in a portrait
orientation. The accepted posters will be presented at the main poster
event at VIS.

Important Dates

* June 14, 2025: abstract deadline for full papers

* June 30, 2025: submission deadline for full papers

* July 31, 2025: author notification

* August 31, 2025: submission deadline for posters, lightning talks

* November 2-7, 2025: IEEE VIS

All deadlines are in Anywhere on Earth (AoE) time zone.

Instructions for submission and further details will appear soon on the
workshop website: https://topoinvis.org/

Organizing Committee

Workshop Chairs

   -

   Divya Banesh, Los Alamos National Laboratory
   -

   Federico Iuricich, Clemson University

Paper Chairs

   -

   Tobias Günther, Friedrich-Alexander Universität Erlangen-Nürnberg
   -

   Yue Zhang, Oregon State University

Communications Chair

   -

   Lin Yan, Iowa State University
   -

   Raghavendra Sridharamurthy, International Institute of Information
   Technology, Hyderabad

Contact: topoinvis at ieee.org

Raghavendra Sridharamurthy,
IIIT Hyderabad
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