UnivProf.Dr. Stephan Huckemann | |||||||||||
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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 |
Courses |
Wintersemester 2024/25 |
Recommendation for Seminar Talks and Abschlussarbeiten |
Overview over Cycle Multivariate Statistics |
Grants |
Statistics of Riemannian metrics and biomedical gait analysis (DFG HU 1575/4), 2012 - 2016 |
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
http://stochastik.math.uni-goettingen.de/huckeman/ishapes_1.0.1.tar.gz
http://stochastik.math.uni-goettingen.de/huckeman/AnisotropicGrowth_0.1.3.tar.gz |
Studieninformationstage 8. und 9. März 2021 |
Kurze Info zum Mathematikstudium in Göttingen |
Links |
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Slicer open-source Shape Analysis Toolbox http://salt.slicer.org/ |