Workshop on Tensor Valuations in Stochastic Geometry and Imaging

21-26 September 2014, Sandbjerg Estate, Sønderborg, Denmark

Sunday is arrival day. The scientific programme starts on Monday morning and ends on Friday around noon.

The workshop is arranged jointly by CSGB and GPSRS, the DFG supported Research Unit Geometry and Physics of Spatial Random Systems.

Conference group photo

Scope and structure of the workshop

This workshop is dedicated to the mathematical theory and the application of tensor valuations in stochastic geometry and imaging. The workshop is a result of our desire to bring together researchers from stochastic geometry and imaging, who have an interest in the underlying mathematical theory of tensor valuations, along with mathematicians who have an interest in the (potential) application areas of tensor valuations.

Also in recent years, there have been very important advances in the mathematical theory of tensor valuations, for instance, concerning the algebraic structure of tensor valuations and the characterization of local tensor measures. At the same time, tensor valuations are starting to be used in a number of research areas, primarily with the purpose of quantifying the morphology and anisotropy of complex spatial structures.

At the workshop, overview lectures will be given by experts in the field. The workshop will also have shorter research talks.

Invited speakers

  • Semyon Alesker (Tel Aviv)
  • David Cohen-Steiner (INRIA, Sophia Antipolis)
  • Daniel Hug (Karlsruhe)
  • Monika Ludwig (Wien)
  • Quentin Mérigot (Grenoble)
  • Rolf Schneider (Freiburg)
  • Gerd Schröder-Turk (Erlangen)
  • Franz Schuster (Wien)

Scientific programme committee

  • Eva B. Vedel Jensen (Aarhus)
  • Markus Kiderlen (Aarhus)
  • Daniel Hug (Karlsruhe)

Abstract submission

An abstract of your talk should be sent to Oddbjørg Wethelund,, after you registered for the workshop.


  • Registration: 1 June 2014
  • Abstracts: 1 August 2014

Further information

Please contact Oddbjørg Wethelund, e-mail: