Project Details
Program
Computer Science
Field of Study
Visualization
Division
Computer, Electrical and Mathematical Sciences and Engineering
Faculty Lab Link
Center Affiliation
Visual Computing Center
Project Description
Very large volumetric meshes are of crucial importance in many areas such as large-scale computational fluid dynamics (CFD) simulations, whether for car engine design or for simulating oil and gas reservoirs. Recent computational advances have led to computational grids of extreme size, such as trillion-cell reservoir simulations. The size and complexity of such grids pose a tremendous challenge to interactive visualization and analysis, and require the development of novel data structures for visualization, e.g., polyhedral grid data structures, as well as data structures for efficient querying and analysis.
About the Researcher
Markus Hadwiger
Professor, Computer Science
Affiliations
Education Profile
- Ph.D. Computer Science, Vienna University of Technology, Austria, 2004
- Dipl.-Ing., Computer Science, Vienna University of Technology, Austria, 2000
Research Interests
The research of Professor Hadiger focuses on the following: Scientific visualization Petascale visualization and scientific computingVolume visualizationMedical visualizationInteractive segmentation and image processingGPU-based algorithmsGeneral-purpose computations on GPUsSelected Publications
- W. Jeong, J. Beyer, M. Hadwiger, R. Blue, C. Law, A. Vasquez, C. Reid, J. Lichtman, H. Pfister. ""SSECRETT and NeuroTrace: Interactive visualization and analysis tools for large-scale neuroscience datasets"". IEEE Computer Graphics and Applications, 2010.
- W. Jeong, J. Beyer, M. Hadwiger, A. Vasquez, H. Pfister, R. Whitaker. ""Scalable and interactive segmentation and visualization of neural processes in EM datasets"". IEEE Transactions on Visualization and Computer Graphics, 2009.
- J. Klein, O. Friman, M. Hadwiger, B. Preim, F. Ritter, A. Vilanova, G. Zachmann, D. Bartz. ""Visual computing for medical diagnosis and treatment"". Computers & Graphics, Vol.33, No.4; pp. 554-565, 2009.
- L. Fritz, M. Hadwiger, G. Geier, G. Pittino, E. GrA¶ller. ""A visual approach to efficient analysis and quantification of ductile iron and reinforced sprayed concrete"". IEEE Transactions on Visualization and Computer Graphics, 2009.
- S. Lindholm, P. Ljung, M. Hadwiger, A. Ynnerman. ""Fused multi-volume DVR using binary space partitioning"". Computer Graphics Forum, 2009.
Desired Project Deliverables
The oil reservoir visualization and simulation come with several challenges. One of them is to handle a typically large amount of data consisting of multiple attributes of a specific geological area. We want to explore the possibility of predicting these attributes in different but geodetically similar areas using machine learning algorithms. We expect our framework for oil reservoir visualization and simulation to be extended in the way that we will be able to incorporate different machine learning algorithms in the future.
Recommended Student Background
GPU programming
C++ programming
Visualization
Computer graphics