Statistics on Non-Euclidean Spaces
Statistical Shape Analysis,
Statistical Inverse Problems,
Pattern Recognition,
Fingerprint Analysis
Biomechanics
Biomedical Imaging
Adult Stem Cell Differentiation
Biomolecular Structure

http://www.stochastik.math.uni-goettingen.de/index.php?id=publications_hu&autor=huckemann&language=de

http://stochastik.math.uni-goettingen.de/~huckeman/DosNDonts.pdf

http://stochastik.math.uni-goettingen.de/~huckeman/Cycle-Multivariate-Statistics.pdf

Statistics of Riemannian metrics and biomedical gait analysis (DFG HU 1575/4)
http://www.stochastik.math.uni-goettingen.de/index.php?id=160&language=en
Formation of stress fibers in adult stem cells (project B 8 in SFB 755: Nanoscale Photonic Imaging)
http://www.sfb755.uni-goettingen.de/index.php?auswahl=projects&g_id=2&p_id=33

http://www.stochastik.math.uni-goettingen.de/index.php?id=138

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 Non-Euclidean Statistics.

R-package "ishapes" for intrinsic statistical analysis of Kendall's landmark based shapes currently featuring

• various concepts of means (intrinsic, Procrustes, Ziezold, Schoenberg, etc.)
• intrinsic two-way MANOVA
• leaf data

 

http://stochastik.math.uni-goettingen.de/~huckeman/ishapes_1.0.1.tar.gz

R-package "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 proximal-distal anisotropic
• marked fingerprints

 

http://stochastik.math.uni-goettingen.de/~huckeman/AnisotropicGrowth_0.1.3.tar.gz

The "FilamentSensor", written in JAVA, is a fast and robust tool for semi-automated detection of line segments in images, primarily designed for detection of actin fibers from microscopy images

http://filament-sensor.de/
 

HeKKSaGOn Summer School (Sept. 11 - 20, 2014)
http://morpho.sci.tohoku.ac.jp/~morpho/SummerSchool14/

Latein Nachhilfe Fulda von Bernd Huckemann
https://bernd-nachhilfe.jimdo.com/
Für Kaffeegenießer
https://www.kaffeevollautomat-test-vergleich.com/