Prof. Dr. Stephan Huckemann
Foto Prof. Dr. Stephan Huckemann


Institut für Mathematische Stochastik


Goldschmidtstrasse 7
37077 Göttingen

Room:Raum 2.199: 273, Gebaeude GZG: Goldschmidtstr. 3-5 (GZG)
Phone:+49 551 39 13517
Fax:+49 551 39 13505
Mail:huckeman@math.uni-goettingen.de
Research interests
statistics on non-Euclidean spaces
statistical shape analysis,
statistical inverse problems,
pattern recognition,
fingerprint analysis
biomechanics
biomedical imaging
adult stem cell differentiation
biomolecular structure
phylogenetics
electron resonance spectroscopy
Publications
Courses
Wintersemester 2020/21
Recommendation for Seminar Talks
Overview over Cycle Multivariate Statistics

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

Grants

Statistics of Riemannian metrics and biomedical gait analysis (DFG HU 1575/4), 2012 - 2016
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 DFG SFB 755: Nanoscale Photonic Imaging), 2011 - 2019
http://www.sfb755.uni-goettingen.de/index.php?auswahl=projects&g_id=2&p_id=33
Discovering structure in complex data: Statistics meets Optimization and Inverse Problems (DFG GK2088 projects A3, A4 and A6), 2016 - 2024
https://www.uni-goettingen.de/en/research-training-group-2088-discovering-structure-in-complex-data-statistics-meets-optimization-and-inverse-problems/about/514402.html
Smeary limit theorems (DFG 1575/10), 2020 -- 2022

Research Group "Statistics on non-Euclidean 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 Non-Euclidean Statistics.

Software

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/
 

Links


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

Slicer open-source Shape Analysis Toolbox http://salt.slicer.org/