Applications of Topological Data Analysis to Big Data

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.

Workshop Website

Agenda

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

December 15–18, 2021

Workshop will be held virtually.

Schedule

The workshop will be held virtually on December 15. The schedule for the workshop can be found here. The full conference schedule can be found here.

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 November 3, 2021: Notification of paper acceptance to authors

• November 15 November 21, 2021: Camera-ready version of accepted papers due

• December 15, 2021: Workshop

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)