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Edelsbrunner Group

Algorithms, Computational Geometry, and Computational Topology

Understanding the world in terms of patterns and relations is the undercurrent in computational geometry and topology, the broad research area of the Edelsbrunner group.

While geometry measures shapes, topology focuses its attention on how the shapes are connected. These shapes may be three-dimensional (an artistic sculpture or a cave in a mountain), it may be four-dimensional (a galloping horse or a flexing protein), or it may even have many more than four dimensions (the configuration space of a robot or the expression pattern of a cancer). The Edelsbrunner group approaches the two related subjects of geometry and topology from a computational point of view. The computer aids in this study and it is used to make the insights useful in applications and workable for non-specialists. The group believes in a broad approach that does not sacrifice depth, including the development of new mathematics, the design of new algorithms and software, and the application in industry and other areas of science. Candidate areas for fruitful collaborations include 3D printing, structural molecular biology, neuroscience, and, more generally, data analysis.



On this site:

Team

Image of Adam Brown

Adam Brown

Postdoc

+43 664 88326267 0

Image of Sebastiano Cultrera di Montesano

Sebastiano Cultrera di Montesano

PhD Student


Image of Ondrej Draganov

Ondrej Draganov

PhD Student

Image of Chris Fillmore

Chris Fillmore

PhD Student


Image of Teresa Heiss

Teresa Heiss

PhD Student

Image of Farid Karimipour

Farid Karimipour

Postdoc

Image of Morteza Saghafian

Morteza Saghafian

Postdoc


Image of Elizabeth Stephenson

Elizabeth Stephenson

PhD Student

Image of Mathijs Wintraecken

Mathijs Wintraecken

Postdoc

Image of Nicolo Zava

Nicolo Zava

Postdoc


Current Projects

Discretization in geometry and dynamics | Topological data analysis in information space


Publications

Yarmohamadi M, Sharif M, Alesheikh AA, Karimipour F. 2022. Predicting the transport pathway of dust storms using convolutional neural network. Proceedings of the 17th International Conference on Location-Based Services. LBS: Conference on Location-Based Services. View

Aichholzer O, Demaine ED, Korman M, Lubiw A, Lynch J, Masárová Z, Rudoy M, Williams VV, Wein N. 2022. Hardness of token swapping on trees. Proceedings of the 30th Annual European Symposium on Algorithms. ESA: Annual European Symposium on Algorithms vol. 244. View

Edelsbrunner H, Osang GF. 2022. A simple algorithm for higher-order Delaunay mosaics and alpha shapes. Algorithmica. View

Biswas R, Cultrera di Montesano S, Edelsbrunner H, Saghafian M. Depth in arrangements: Dehn–Sommerville–Euler relations with applications. Leibniz International Proceedings on Mathematics. View

Biswas R, Cultrera di Montesano S, Edelsbrunner H, Saghafian M. A window to the persistence of 1D maps. I: Geometric characterization of critical point pairs. LIPIcs. View

View All Publications

ReX-Link: Herbert Edelsbrunner


Career

since 2009 Professor, Institute of Science and Technology Austria (ISTA)
2004 – 2012 Professor of Mathematics, Duke University, Durham, USA
1999 – 2012 Arts and Sciences Professor for Computer Science, Duke University, Durham, USA
1996 – 2013 Founder, Principal, and Director, Raindrop Geomagic
1985 – 1999 Assistant, Associate, and Full Professor, University of Illinois, Urbana-Champaign, USA
1981 – 1985 Assistant, Graz University of Technology, Austria
1982 PhD, Graz University of Technology, Austria


Selected Distinctions

ISI Highly Cited Researcher
2018 Wittgenstein Award
2014 Fellow of the European Association for Theoretical Computer Science
2014 Member, Austrian Academy of Sciences (ÖAW)
2012 Corresponding Member of the Austrian Academy of Sciences
2008 Member, German Academy of Sciences Leopoldina
2006 Honorary Doctorate, Graz University of Technology
2005 Member, American Academy of Arts and Sciences
1991 Alan T. Waterman Award, National Science Foundation


Additional Information

View Edelsbrunner website
Open Mathematics at IST Austria website




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