Prof. Dr. Stephan Huckemann 



Research interests 
Statistics on NonEuclidean Spaces
Statistical Shape Analysis,
Statistical Inverse Problems,
Pattern Recognition,
Fingerprint Analysis
Biomechanics
Biomedical Imaging
Adult Stem Cell Differentiation
Biomolecular Structure 


Courses 
Sommersemester 2019 


Recommendation for Seminar Talks 


Overview over Cycle Multivariate Statistics 



Research Group "Statistics on nonEuclidean Spaces" 


CV 
Stephan Huckemann received his degree in mathematics from the University of Giessen (Germany) in 1987. He was a visting lecturer and scholar at the University of Michigan, Ann Arbor (1987  1989) and a postdoctoral research fellow at the ETH Zürich, Switzerland (1989  1990). He then worked as a commercial software developer (1990  2001) and returned to academia as a contributor to the computer algebra system MuPAD at Sciface Software and the University of Paderborn, Germany (2001  2003). Working with H. Ziezold (2004  2006, Univ. of Kassel), P. Mihailescu (2007, Univ. of Göttingen), P.T. Kim (2009, Univ. of Guelph, Canada) and A. Munk (2007  2010, Univ. of Göttingen) he completed his Habilitation at the Univ. of Göttingen (Germany) in 2010 and was awarded a DFG Heisenberg research fellowship. As such he continued at the Institute for Mathematical Stochastics, Univ. of Göttingen while being a research group leader at the Statistical and Applied Mathematical Sciences Institute (2010/11 SAMSI, Durham, NC, USA). After substituting (2012  2013) for the Chair of Stochastics and Applications at the Univ. of Göttingen he holds the new Chair for NonEuclidean Statistics.


Software 
Rpackage "ishapes" for intrinsic statistical analysis of Kendall's landmark based shapes currently featuring
 various concepts of means (intrinsic, Procrustes, Ziezold, Schoenberg, etc.)
 intrinsic twoway MANOVA
 leaf data
http://stochastik.math.unigoettingen.de/~huckeman/ishapes_1.0.1.tar.gz
Rpackage "AnisotropicGrowth" for detection of anisotropic growth in fingerprints
 Procrustes type estimation of overall growth and of direction and amount of anisotropic growth
 various tests for H_0: growth is isotropic,H_0: growth is not proximaldistal anisotropic
 marked fingerprints
http://stochastik.math.unigoettingen.de/~huckeman/AnisotropicGrowth_0.1.3.tar.gz
The "FilamentSensor", written in JAVA, is a fast and robust tool for semiautomated detection of line segments in images, primarily designed for detection of actin fibers from microscopy images
http://filamentsensor.de/



