Prof. Dr. Rüdiger Westermann
Academic Career and Research Areas
Prof. Westermann (1966) conducts research in the field of practical computer science in the areas of computer graphics, scientific visualization, and efficient numerical simulation systems. The focus is on the development of efficient algorithms for real-time, photorealistic rendering of large data models, interactive visual data exploration, and physical simulation in virtual environments and their implementation on GPU architectures. His main research contributions in recent years have been in the areas of volume visualization, topology optimization, and image-based reconstruction of 3D models.
After studying computer science at the Technical University of Darmstadt, he received his doctorate (1996) from the University of Dortmund under Prof. H. Müller. From 1992 to 1997, he was a research assistant at GMD St. Augustin, Bonn. In 1998, he joined Prof. T. Ertl's group at the University of Erlangen-Nuremberg as a postdoctoral researcher. After research stays at Caltech and the University of Utah, he was appointed to a C3 professorship at RWTH Aachen University in 2001. Since 2003, he has been head of the Chair of Computer Graphics and Visualization at TUM.
Key Publications (all publications)
Wang J., Aage N., Wu J., Sigmund O., Westermann R.: “Efficient Large-Scale 3D Topology Optimization with Matrix-free MATLAB Code“. Structural and Multidisciplinary Optimization 2025.
AbstractNiedermayr S., Neuhauser C., Westermann R.: “Lightweight Gradient-Aware Upscaling of 3D Gaussian Splatting Images“. ICCV 2025.
AbstractLeonard L., Thuerey N., Westermann R.: “Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes“. IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025.
AbstractWang J., Bukenberger D., Niedermayr S., Neuhauser C., Wu J., Westermann R.: “SGLDBench: A Benchmark Suite for Stress-Guided Lightweight 3D Designs“. IEEE Transactions on Visualization and Computer Graphics 2025.
AbstractNiedermayr S., Stumpfegger J., Westermann R.: “Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis“. IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.
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