I am currently a researcher in the Visual Information Analysis Group of Prof. Dr. Heike Leitte, where I recently finished my PhD thesis. My thesis deals with investigating how to exploit topological information for the visualization of complex multivariate data sets. See below for a list of my publications and other materials.

I also have a profile on ResearchGate.

Research interests

In general, I am interested in methods and techniques that help us understand complex data sets. Mostly, those data sets are high-dimensional point clouds for me, but I am also interested in analysing graphs or, most recently, networks. I am also interested in analysing the behaviour of machine learning techniques, such as dimensionality reduction algorithms or clustering techniques.

According to Rob Hyndman, this makes me a data scientist!

From the mathematical side, I am interested in investigating how to use methods from algebraic topology to support the analysis of multivariate data. Since multivariate, unstructured point clouds are very common in domains such as biology and climate research, there are many potential applications for this kind of research. During my PhD, I mainly used persistent homology as a tool for describing a data set. I also have a general interest in algebraic & differential topology—both fields contain a wealth of potentially useful tools for visualization!

Some of my colleagues also have personal websites (or used to have them; they are still my colleagues, but their websites unfortunately do not exist any more for one reason or another):

Publications

Please find a list of my preprints below. Whenever possible, I try to provide a BibTeX file for citing the publication as well as the slides corresponding to the paper. If neither a preprint nor slides are available but you still want to read the publication, please drop me a line to bastian@rieck.ru—it is possible that I am only allowed to share a publication privately.

2017

Clique Community Persistence: A Topological Visual Analysis Approach for Complex Networks
Bastian Rieck, Ulderico Fugacci, Jonas Lukasczyk, and Heike Leitte
IEEE Transactions on Visualization and Computer Graphics, Volume 24, Issue 1, pp. 822–831, January 2018.
BibTeXAdditional codeSupplementary materials

Persistent Homology in Multivariate Data Visualization
Bastian Rieck
Ph.D. thesis, Ruprecht-Karls-Universität Heidelberg
BibTeXurn:nbn:de:bsz:16-heidok-229145 • DOI: 10.11588/heidok.00022914Text-only version

Persistence Concepts for 2D Skeleton Evolution Analysis (extended abstract)
Bastian Rieck, Heike Leitte, and Filip Sadlo
Workshop on Topology-Based Methods in Visualization (TopoInVis), Accepted for Presentation, 2017.
BibTeXGitHub repository

Hierarchies and Ranks for Persistence Pairs
Bastian Rieck, Heike Leitte, and Filip Sadlo
Workshop on Topology-Based Methods in Visualization (TopoInVis), Accepted for Presentation, 2017.
BibTeXSlides

2016

‘Shall I compare thee to a network?’—Visualizing the Topological Structure of Shakespeare’s Plays
Bastian Rieck and Heike Leitte
Workshop on Visualization for the Digital Humanities at IEEE VIS 2016.
BibTeXSlides

Exploring and Comparing Clusterings of Multivariate Data Sets Using Persistent Homology
Bastian Rieck and Heike Leitte
Computer Graphics Forum, Volume 35, Issue 3, pp. 81–90, June 2016.
BibTeXSupplementary materialsSlides

Agreement Analysis of Quality Measures for Dimensionality Reduction
Bastian Rieck and Heike Leitte
Topological Methods in Data Analysis & Visualization IV, pp. 103–117, Springer, 2017.
BibTeXSlides • This is the published version of the preprint from 2015 (see below)

Interactive Similarity Analysis and Error Detection in Large Tree Collections
Jens Fangerau, Burkhard Höckendorf, Bastian Rieck, Christian Heine, Joachim Wittbrodt, and Heike Leitte
Visualization in Medicine and Life Sciences III: Towards Making an Impact, pp. 287–307, Springer, 2016.
BibTeX

2015

Comparing Dimensionality Reduction Methods Using Data Descriptor Landscapes
Bastian Rieck and Heike Leitte
Symposium on Visualization in Data Science (VDS) at IEEE VIS 2015.
BibTeXSlides

Persistent Homology for the Evaluation of Dimensionality Reduction Schemes
Bastian Rieck and Heike Leitte
Computer Graphics Forum, Volume 34, Issue 3, pp. 431–440, June 2015.
BibTeXSlides

Agreement Analysis of Quality Measures for Dimensionality Reduction
Bastian Rieck and Heike Leitte
Workshop on Topology-Based Methods in Visualization (TopoInVis), Accepted for Presentation, 2015.
BibTeXSlides

2014

Enhancing Comparative Model Analysis using Persistent Homology
Bastian Rieck and Heike Leitte
IEEE Vis 2014 Workshop on Visualization for Predictive Analytics.
BibTeXSlides

Structural Analysis of Multivariate Point Clouds using Simplicial Chains
Bastian Rieck and Heike Leitte
Computer Graphics Forum, Volume 33, Issue 8, pp. 28–37, December 2014.
BibTeXSlides

2013

Der “Gesprengte Turm” am Heidelberger Schloss – Untersuchung eines Kulturdenkmals mithilfe hoch auflösender terrestrischer Laserscans
Markus Forbriger, Hubert Mara, Bastian Rieck, Christoph Siart, Olaf Wagener
Denkmalpflege in Baden-Württemberg, Nachrichtenblatt der Landesdenkmalpflege, Heft 3-2013, S. 165–168.

Unwrapping Highly-Detailed 3D Meshes of Rotationally Symmetric Man-Made Objects
Bastian Rieck, Hubert Mara, and Susanne Krömker
ISPRS Annals, Volume II-5/W1, pp. 259–264.
BibTeX

2012

Multivariate Data Analysis Using Persistence-Based Filtering and Topological Signatures
Bastian Rieck, Hubert Mara, and Heike Leitte
IEEE Transactions on Visualization and Computer Graphics, Volume 18, Issue 12, pp. 2382–2391, December 2012.
BibTeXSlides

2011

Smoothness analysis of subdivision algorithms
Master’s Thesis, Heidelberg University. Advised by Susanne Krömker and Heike Leitte.
BibTeXGitHub repository

Notes

Here are some notes on various topics. These notes are not peer-reviewed, though, and may contain errors—please notify me if you find some.

Talks

Here are some of my more-or-less public talks.