Modeling and Simulation of Complex Systems and Networks
The increase in computer power and the development of advanced algorithms have enabled simulation of complex problems at scales never before envisioned. Computations are reducing the need for physical experimentation, producing faster and better product designs and enabling more sophisticated and accurate simulations. By accelerating simulation and potentially reducing research costs, computational modeling will enable extraordinary discoveries. Moreover, the combination of models and data is leading to significant advances in decision-making.
Focus Areas and Initiatives
- Data analytics
- Decision analytics
- Multi-scale methods
- Uncertainty quantification
Leading the Way
- Cockrell School professor Mary Wheeler, an expert in hydraulic fracturing and subsurface modeling, has led extensive research projects with the National Science Foundation, U.S. Department of Energy and numerous energy companies to formulate and analyze scalable algorithms that address subsurface phenomena.
- Developed by professor Clint Dawson, innovative computer simulations that track, measure and predict hurricane storm surge will provide more accurate models that aid in disaster evacuation efforts and help save lives. His groundbreaking research is possible by utilizing two of the world's most powerful supercomputers, which are located at UT Austin.
- Biomedical engineering professor Michael Sacks, a trailblazer in computational simulation and leader in applying it to biomedical experimentation, has made transformative discoveries that better treat heart and valvular disease.