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People

Prof. Dr. Hans Hagen

Phone: +49 (0)631 205-4071

Room: 36-219

Mail: hagen@informatik.uni-kl.de


Research Interests

Scientific Visualization and Computer Graphics

  • Topology based Visualization
  • Vector- and tensor field visualization
  • Information visualization
  • Interactive real-time visualization
  • Visualization of large unstructured data sets
  • Virtual reality simulation

Geometric Modelling

  • Variational Design
  • Physically Based Modelling
  • Simulation Based Modelling
  • Interrogation Techniques and Quality Analysis
  • Scattered Data Methods

Teaching

Prof. Hagen is a Senior Research Professor since summer semester 2020.

Advanced Topic Classes are still available:

  • Geometric Modelling
  • Visualization Topics

Publications

2018

A. Griesser, R. Westerteiger, C. Wagner, H. Hagen, A. Wiegmann
BibTexsearch
Machine Learning-based Single Fiber Extraction from Micro-CT Scans with GeoDict
in 8th Conference on Industrial Computed Tomograph, 2018
M. Zeyen, H. Hagen
BibTexsearch
Color Interpolation for non-Euclidean Color Spaces
IEEE Scientific Visualization Conference, IEEE, 2018
P. Gospodnetić, D. Banesh, P. Wolfram, M. Petersen, H. Hagen, J. Ahrens, M. Rauhut
BibTexsearch
Ocean Current Segmentation at Different Depths and Correlation with Temperature in a MPAS-Ocean Simulation
IEEE, 2018
B. Karer, I. Scheler, H. Hagen
BibTexsearch
A Step Towards Automatic Visual Analytics Pipeline Generation
in Electronic Imaging, Society for Imaging Science and Technology, 2018
B. Hentschel, M. Meyer, H. Hagen, R. Maciejewski
BibTexsearch
Applied Visualization
in IEEE Computer Graphics and Applications, 2018
B. Karer, I. Scheler, H. Hagen
BibTexsearch
Panning for insight: amplifying insight through tight integration of machine learning, data mining, and visualization
Proceedings of the Conference on Machine Learning Methods in Visualisation for Big Data, 2018
M. Kronenberger, K. Schladitz, B. Hamann, H. Hagen
BibTexsearch
Fiber segmentation in crack regions of steel fiber reinforced concrete using principal curvature
in Image Analysis & Stereology, 2018
M. Kronenberger, O. Wirjadi, H. Hagen
BibTexsearch
Empirical comparison of curvature estimators on volume images and triangle meshes
in IEEE transactions on visualization and computer graphics, IEEE, 2018
C. Gillmann, T. Wischgoll, B. Hamann, H. Hagen
BibTexsearch
Accurate and reliable extraction of surfaces from image data using a multi-dimensional uncertainty model
in Graphical Models, Elsevier, pp. 13-21, 2018
R. Maack, H. Hagen, C. Gillmann
BibTexsearch
Evaluation of the uncertainty-awareness principle using a tumor detection scenario
Proceedings of the VisGuides: 2nd Workshop on the Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization (IEEE Vis 2018), 2018
A. Marro, S. Wiesen, M. Langbein, H. Hagen
BibTexsearch
3D SfM as a Measuring Technique for Human Body Transformation
Iberoamerican Congress on Pattern Recognition, Springer, 2018
C. Gillmann, P. Arbelaez, J. Hernandez, H. Hagen, T. Wischgoll
BibTexsearch
An Uncertainty-Aware Visual System for Image Pre-Processing
in Journal of Imaging, Multidisciplinary Digital Publishing Institute, vol. 4, 2018
C. Gillmann, R. Maack, T. Post, T. Wischgoll, H. Hagen
BibTexsearch
An uncertainty-aware workflow for keyhole surgery planning using hierarchical image semantics
in Visual Informatics, Elsevier, pp. 26-36, 2018