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Staff Josua Sassen, M.Sc.

Contact Information

Institut für Numerische Simulation
Endenicher Allee 60
53115 Bonn
Phone: +49 228 73--2725
Office: EA60 Z2.065
E-Mail: ed tod nnob-inu ta nessas tod ausoja tod b@foo tod de

My research is concerned with variational problems in geometry processing. Broadly speaking, I am interested in numerical methods for such problems arising from shape spaces and shape optimization. These typically find applications in computer graphics and geometric design. Recently, I have also become interested in using techniques from machine learning to tackle these problems. My detailed CV can be found here.


Summer semester 2021

Summer semester 2019

See teaching activities of the whole group.

Current Research Projects

Geodesic Paths in Shape Space

Project 5, FWF NFN S117.

Show description. Homepage.


  1. A pessimistic bilevel stochastic problem for elastic shape optimization. J. Burtscheidt, M. Claus, S. Conti, M. Rumpf, J. Sassen, and R. Schultz. Mathematical Programming, Nov 2021. BibTeX PDF DOI arXiv
  2. Association of Reading Performance in Geographic Atrophy Secondary to Age-Related Macular Degeneration With Visual Function and Structural Biomarkers. S. H. Künzel, M. Lindner, J. Sassen, P. T. Möller, L. Goerdt, M. Schmid, S. Schmitz-Valckenberg, F. G. Holz, M. Fleckenstein, and M. Pfau. JAMA Ophthalmology, 2021. BibTeX DOI
  3. A Phase-field Approach to Variational Hierarchical Surface Segmentation. J. Meny, M. Rumpf, and J. Sassen. Computer Aided Geometric Design, 2021. BibTeX PDF DOI
  4. Nonlinear Deformation Synthesis via Sparse Principal Geodesic Analysis. J. Sassen, K. Hildebrandt, and M. Rumpf. Comput. Graph. Forum, 2020. BibTeX Video PDF DOI Talk
  5. Geometric optimization using nonlinear rotation-invariant coordinates. J. Sassen, B. Heeren, K. Hildebrandt, and M. Rumpf. Computer Aided Geometric Design, 2020. BibTeX DOI arXiv
  6. Discrete Gauß–Codazzi equations for efficient triangle mesh processing. J. Sassen. Master's Thesis, University of Bonn, 2019. BibTeX PDF