Research interests

statistics on non-Euclidean spaces
statistical shape analysis,
statistical inverse problems,
pattern recognition,
fingerprint analysis and forensics
biomechanics
biomedical imaging
adult stem cell differentiation
biomolecular structure
phylogenetics
electron resonance spectroscopy

Publications

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

News

Termine

Courses

WiSe 2024/25

• Multivariate and non-Euclidean statistics III
• Oberseminar on statistics on non-Euclidean spaces
• Seminar on multivariate and non-Euclidean statistics

SoSe 2024

• Multivariate and non-Euclidean statistics II
• Oberseminar on statistics on non-Euclidean spaces
• Seminar on statistics on non-Euclidean spaces

Tutorials

Lecture Notes on Foundations of Non-Euclidean Statistics

https://stochastik.math.uni-goettingen.de/~huckeman/Tutorial_4_Lectures_Foundations-of-Statistics-on-Non-Euclidean-Spaces.pdf

Recommendation for Seminar Talks and Abschlussarbeiten

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

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

http://stochastik.math.uni-goettingen.de/~huckeman/Guideline-Graduation-Theses.pdf

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 HU 1575/10), 2020 - 2022
DFG SFB 1456 Mathematics of Experiment (2021 - 2024, first funding period): A01 - Geometry and Bayesian statistics to reconstruct protein radical structures from ENDOR spectroscopy
https://www.uni-goettingen.de/en/628457.html

Research Group "Statistics on non-Euclidean Spaces"

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

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/

Studieninformationstage 8. und 9. März 2021

Kurze Info zum Mathematikstudium in Göttingen
http://stochastik.math.uni-goettingen.de/huckeman/Mathe-fuer-Studieninteressierte-Maerz-2021.mp4

Links

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

ISAG I Interactions of Statistics and Geometry (Feb. 14 - 18, 2022)
https://ims.nus.edu.sg/events/interactions-of-statistics-and-geometry-isag/

Conference on Geometry and Statistics (Feb. 27 - March 1, 2023)
https://cmsa.fas.harvard.edu/event/geometry-and-statistics/

ISAG II Interactions of Statistics and Geometry (Oct. 14 - 26, 2024)
https://ims.nus.edu.sg/events/isagii/

HeKKSaGOn Mathematics Meeting (Nov. 24 - 30,2024)
https://indico.scc.kit.edu/event/4644/overview

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