Topological Data Visualization Workshop

May 16 - 20, 2022     University of Iowa

Organizers: Isabel Darcy, University of Iowa and Bei Wang, University of Utah

Funded by NSF DMS RTG 2038103: PI Keiko Kawamuro


The workshop format is expected to be in person; however, many talks will be available online. Thus we expect to have both in person and online participants. Not all activities will be available to online participants.


Some datasets are too small for standard statistical/data analysis to accurately characterize the data. Others are extremely large and data size reduction methods may be needed. One solution is to use topological data analysis to simplify and/or visualize data. This workshop will include both tutorials and research talks on topological techniques for visualizing data.
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Tutorial Speakers

  • Divya Banesh, Los Alamos National Laboratory
  • Roxana Barbara Bujack, Los Alamos National Laboratory
  • Isabel Darcy, University of Iowa
  • Joshua Levine, University of Arizona
  • Jose Perea, Northeastern University
  • Ethan Rooke, University of Iowa
  • Paul Rosen, University of South Florida
  • Julien Tierny, CNRS - Sorbonne Universite
  • Youjia Zhou, University of Utah
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    Schedule

    We will have tutorials on Monday, Tuesday, and Wednesday. Tutorial days start with coffee at 8:30am and talks at 9am. Most tutorial days end at 5:30pm.

    We will have research talks on Thursday and Friday with coffee at 8:30am and talks starting at 9am. We will end at 5pm on Thursday and 3:00pm on Friday.

    Lunch will be on your own. There are many restaurants within walking distance.

    * means an in person presentation. Presenters without a * will be giving their talk via zoom.

    NOTE: All times are in Central Time (CDT = UTC -5)

    Location: Seamans Center 3630

    Click on the above link for maps to Seamans Center and the look for posters directing you to SC 3630

    Tutorial talks
    Monday
    8:30am Coffee
    9:00am Isabel Darcy* and Ethan Rooke*, University of Iowa,     Introduction to Topological Data Analysis and Software Installation   (slides)
    10:30am Coffee Break
    11:00am Isabel Darcy* and Ethan Rooke*,     Introduction to TDA Part 2
    12:00 noon: Lunch
    2:00pm Youjia Zhou*, University of Utah,     An introduction to the mapper algorithm and its open-source implementations
    3:00pm Coffee Break
    3:30pm Youjia Zhou*,   An introduction to the mapper algorithm and its open-source implementations Part 2
    4:30pm Software Installation Part 3 + Coffee
    5:30pm End of day 1
    Tuesday
    8:30am Coffee
    9:00am Joshua Levine, University of Arizona and Julien Tierny CNRS - Sorbonne Universite,     An Introduction to the Topology ToolKit (TTK)
    10:00am Coffee Break
    10:30am Joshua Levine* and Julien Tierny,    An Introduction to the Topology ToolKit (TTK) Part 2
    11:30am: Lunch
    1:30pm Jose Perea*, Northeastern University,     DREiMac: Dimensionality Reduction with Eilenberg-MacLane Spaces
    3:30pm Coffee Break
    4:00pm Jose Perea*,   DREiMac: Dimensionality Reduction with Eilenberg-MacLane Spaces Part 2
    5:30pm End of day 2
    Wednesday
    8:30am Coffee
    9:00am Divya Banesh* and Roxana Bujack, Los Alamos National Laboratory    Vector Field Topology in VTK and ParaView
    10:30am Coffee Break
    11:00am Divya Banesh* and Roxana Bujack    Vector Field Topology in VTK and ParaView Part 2
    12:00 noon: Lunch
    2:00pm Paul Rosen*, University of South Florida,     Optimizing and Interacting with Information Visualizations Using Topological Data Analysis
    3:00pm Coffee Break
    3:30pm Paul Rosen*,  Optimizing and Interacting with Information Visualizations Using Topological Data Analysis Part 2
    4:30pm End of day 3
    Research talks
    Thursday
    8:30am Coffee
    9:00am Madelyn Shapiro*, Pacific Northwest National Laboratory,     Topology of Machine Learning Activations
    10:00am Coffee Break
    10:30am Gregory Henselman-Petrusek, Pacific Northwest National Laboratory,     Optimal cycle representatives for visualization and feature localization: empirical insights for the practitioner
    11:20am Break
    11:30am Sarah Percival*, Michigan State University,     Using Mapper to Reveal Morphological Relationships in Passiflora Leaves
    12 noon Benedikt Kolbe, Hausdorff Center for Mathematics     Hyperbolic tilings and periodic knots
    12:30 pm Lunch
    2:00pm Guoning Chen*, University of Houston,     Hexahedral Mesh Structure Visualization and Optimization
    3:00pm Coffee Break
    3:30pm Hanqi Guo, Argonne National Laboratory,   Feature Tracking with Simplicial Spacetime Meshing
    4:30pm Yu Qin, Tulane University,   A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
    5:00pm End of day 4
    Friday
    8:30am Coffee
    9:00am Dustin L Arendt*, Pacific Northwest National Laboratory,     Towards Practical and Accessible Hypergraph Visualization
    10:00am Coffee Break
    10:30am Leila De Floriani, University of Maryland,     Efficient Representations and Topology-based Methods for Spatial Data Analysis and Visualization
    11:30am Alexander Rolle, Technical University of Munich, Germany   Visualizing cluster structure using prominence vineyards
    12:00 pm Lunch
    1:30pm Yue Zhang, Oregon State University,   Topological Structures and Bifurcations in 3D Linear Symmetric Tensor Fields
    2:00pm Wako Bungula, University of Wisconsin - La Crosse,   Application of TDA Mapper to the Upper Mississippi River System
    2:30pm Robin Belton, Montana State University,   Extremal Event Graphs: A (Stable) Tool for Analyzing Noisy Time Series Data
    3:00pm Departure or Social Activity