Advanced Imaging in Deeptech Academy: Core Group member, Leader of WG 3 – Advanced image processing, image analysis, and visualisation, LINXS Fellow

Core responsibility in Theme: Data Advancement and Instrument Development

Associate professor, Visual Computing, DTU Compute, Technical University of Denmark, Denmark and QIM, MAX IV, Sweden.

Vedrana is an associate professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. She holds degrees in mathematics, multimedia technology, and a Ph.D. degree in geometry processing. Her primary research interest is in using geometric models for the analysis of volumetric data. This includes volumetric segmentation, tomographic segmentation, and methods based on deformable meshes. She developed image analysis tools with applications in material science, industrial inspection, and biomedicine. Her other research interests include quantitative analysis of microstructure, 2D and 3D texture analysis and 3D methods for digitizing cultural heritage.