Workshop on Applications of Topological Data Analysis to "Big Data"

2021 IEEE International Conference on Big Data (IEEE BigData 2021)

December 1518, 2021
Workshop will be held virtually.

Overview

Topological Data Analysis (TDA) is a growing area of research that focuses on studying the "shape" of data. Tools (such as persistent homology) from TDA have been successful in many application areas, including signal processing, computer vision, dynamical systems, and geospatial systems. This workshop will be a venue for researchers and practitioners of TDA to present innovative, state-of-the-art topological methods and novel applications of topological tools to big data.

Relevant Topics

In this workshop, we invite submissions on recent applications of topological data analysis, with a focus on larger datasets. Topics include but are not limited to:

  • TDA applications to graphs, hypergraphs and networks
  • TDA applications in natural language processing
  • TDA applications to image and video analysis
  • TDA applications in dynamical systems and signal processing
  • Topological approaches to spatial and social systems
  • Topological approaches to machine learning

Important Dates

  • September 30 October 18, 2021: Due date for workshop paper submission (11:59pm EST)
  • November 1, 2021: Notification of paper acceptance to authors
  • November 15, 2021: Camera-ready version of accepted papers due
  • December 1518, 2021: Workshop (one day in this date range)

Paper Submission Guidelines and Instructions

We welcome full-length papers (up to 10 pages) as well as short papers on preliminary/early stage work (up to 4 pages). References are not included in either page limit. Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines. This conference has a single-blind review policy. Papers should be submitted to the workshop submission site linked here.

Program Co-Chairs

  • Tegan Emerson (Pacific Northwest National Lab)
  • Mason A. Porter (University of California, Los Angeles)
  • Sarah Tymochko (Michigan State University, Pacific Northwest National Lab)
  • Wlodek Zadrozny (University of North Carolina at Charlotte)

Program Committee

  • Sofya Chepushtanova (Wilkes University)
  • Tamal K. Dey (Purdue University)
  • Grayson Jorgenson (Pacific Northwest National Lab)
  • Elizabeth Munch (Michigan State University)
  • Brenda Praggastis (Pacific Northwest National Lab)