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Markus Kiderlen

Associate Professor

Markus Kiderlen

  • Integral geometry
  • Convex geometry
  • Stochastic geometry
  • Geometric tomography
  • Spatial statistics

My research focuses on the intersection of geometry, probability theory, and statistics. 

In stochastic geometry, I use old and new integral geometric relations, investigate the role of Minkowski tensors for quantifying the position and orientation of random particles, and address problems related to uniqueness and inference. I contributed to the solution of the actual reconstruction in Hammer's X-ray problem in geometric tomography. 

My other research focus are spatial sampling methods. Examples encompass my results on Wicksell's corpuscle problem in a local stereological setting and improvements of the Cavalieri volume estimate.