RANDALL ROEL RAUWENDAAL
To work with fun, intelligent and interesting people on engaging and challenging research problems in the domain of computer graphics and rendering.
Advanced Computer Graphics
Computer-Aided Geometric Design
M. Sugihara and
R. Rauwendaal and M. Salvi, Layered Reflective Shadow Maps for Voxel-based Indirect Illumination, High Performance Graphics, 2014. Available online: https://software.intel.com/en-us/articles/layered-reflective-shadow-maps-for-voxel-based-indirect-illumination.
R. Rauwendaal and M. Bailey, Hybrid Computational Voxelization Using the Graphics Pipeline, Journal of Computer Graphics Techniques (JCGT), vol. 2, no. 1, 15-37, 2013. Available online: http://jcgt.org/published/0002/01/02/
T. Morrison and
R. Rauwendaal, A Comparison of Data Parallel Techniques for High Fidelity Smoke, Intel Internal Whitepaper
D. S. Long, S. B. Wuest, J. D. Williams,
R. Rauwendaal, M. J. Bailey, Contour Planting: A Strategy to Reduce Soil Erosion on Steep Slopes, International Conference on Precision Agriculture. Available online: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.9623
R. Rauwendaal and M. Bailey, Analyzing Terrain Surfaces to Synthesize and Visualize Optimal-Coverage Tractor Paths for Conservation Farming, Tech Report. Available online: http://web.engr.oregonstate.edu/~mjb/WebMjb/Papers/usda.v4.pdf
Apple – Platform Architecture Group
Intel – Advanced Technology Group
Provide architectural advice and consultation to game developers and middleware providers to best enable Intel graphics solutions.
Research new real-time graphics techniques targeted at game developers.
Graphics and Image Technology Lab
Grantee of Intel’s Visual Computing Initiative
Explored advances in the parallelization and discretization of global illumination algorithms.
Grantee for USDA Agricultural Research Program
Developed a contour following coverage algorithm based on GPU neural networks.
Intel – Advanced Visual Computing
Worked on the native API for Intel’s Many Integrated Core architecture.
Co-authored an internal white-paper evaluating several Intel proprietary parallel programming models for vector utilization.
Center for Geotechnical Modeling
Developed an intuitive application to gather data from a wireless sensor network.
Maintained UC Davis NEESit equipment site.
Institute for Data Analysis & Visualization
Researched the segmentation of complex datasets through the analysis of Gaussian curvature.
Explored the usage of T-spline surfaces as a method for the reconstruction of terrain features based upon curvature segmentation information.
Center for Urban Forest Research
Worked to develop a sophisticated 3D tree modeling program.
Utilized customized recursive L-systems to generate unique trees.
Santa Clara, CA
Maintained critical operations database and developed site features.
Developed and designed several featured web pages.
Lockheed Martin Solar Astrophysics Lab
Palo Alto, CA
Investigated nonlinear dynamics of stellar dynamos.
Simulated the magnetic convection currents of the sun.
Rendered complex visualizations of solar dynamics.
Extensive knowledge of computer graphics and scientific visualization, global illumination algorithms, geometric modeling, and real-time and photorealistic rendering techniques.
Experienced with OpenGL, DirectX, GLSL, CG, HLSL, and many graphics toolkits.
Computer graphics, global illumination algorithms, real-time rendering techniques, scientific visualization, physically based rendering techniques, and geometric modeling.
References or recommendation letters furnished upon request.
<span>%d</span> bloggers like this: