Filip Sadlo
Professor of Computer Science – Head of Visual Computing Group
Heidelberg University
Filip Sadlo‘s research interests include scientific visualization, visual analytics, and computational photography, with a focus on large and complex data and proximity to physics and simulation. In scientific visualization, he conducts research on feature-based visualization of scalar-, vector-, and tensor fields, topological data analysis, and volume rendering. His application domains include astrophysics, meteorology, health, and medicine. Filip Sadlo has conducted many international and interdisciplinary research projects and is extending his activities in data science.
Principal Investigator
Further information
RTG Projects
Refined extraction of vortex core lines in fluid flow
Research interest
- Flow visualization: e.g., for blood flow, aneurisms, advection-diffusion of oxygen and nutrients, development of tissue, transport of inertial particles in the respiratory system
- Volume rendering: e.g., for revealing structure in computed tomography scans
- Visual analytics: e.g., for revealing structure in large complex data, including multi-field multi-variate and multi-physics data, integrating simulated data and measurements
- Tensor field visualization: e.g., for understanding the fiber structure in diffusion tensor imaging of the brain, stresses in the skeleton
Selected publications
- A. Sagristà, S. Jordan, A. Just, F. Dias, L. G. Nonato, F. Sadlo: Topological Analysis of Inertial Dynamics, IEEE Transactions on Visualization and Computer Graphics, vol. 23, no. 1, pp. 950–959, 2017.
- M. Bußler, T. Ertl, F. Sadlo: Photoelasticity Raycasting, Computer Graphics Forum, vol. 34, no. 3, pp. 141–150, 2015.
- M. Ament, F. Sadlo, C. Dachsbacher, D. Weiskopf: Low-Pass Filtered Volumetric Shadows, IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 2437–2446, 2014.
- M. Üffinger, F. Sadlo, T. Ertl: A Time-Dependent Vector Field Topology Based on Streak Surfaces, IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 3, pp. 379–392, 2013.
- F. Sadlo, R. Peikert: Efficient Visualization of Lagrangian Coherent Structures by Filtered AMR Ridge Extraction, IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1456–1463, 2007.
Network within RTG Bio Big Data Research
Varun Aggarwal
Contact details
Address:
Mathematikon
Im Neuenheimer Feld 205
Room 5.225
69120 Heidelberg
Phone: +49 (0) 6221 54 14 417
Fax: +49 (0) 6221 54 14 418
Email of assistant: sekretariat.sadlo@iwr.uni-heidelberg.de
