Institute for Applied Mathematics and Computational Science
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Overview
Mission The Institute for Applied Mathematics and Computational Science (IAMCS) is a state-of-the-art, multidisciplinary computational research base with a robust infrastructure that enables large-scale scientific computation research, advanced multidisciplinary learning and education, and a large number of applications in diverse areas of science and engineering of interest to Texas, Saudi Arabia and the world.KAUST Logo
Establishment IAMCS was created in June 2008 under the joint effort of Texas A&M University and its partners, the University of Utah and Rensselaer Polytechnic Institute, in collaboration with King Abdullah University of Science and Technology (KAUST). IAMCS combines the expertise of world renowned researchers and collaborators in mathematics, statistics, and computer science to approach science and engineering issues from different perspectives, thus provides more comprehensive solutions by using flexible model development, predictive assessment, and the ability to handle problems with either excessive or sparse data.
Organization
The official list of people: http://iamcs.tamu.edu/who-we-are/people/folder_listing
Core 1: Forward Multiscale Modeling and Simulation
Research Core 1 addresses topics related to systematic modeling and simulation approaches for multiscale problems able to make accurate predictions and account for uncertainties due to modeling and measurement errors.
- Yalchin Efendiev leader
- Nancy Amato co-leader
- Bani Mallick co-leader
- Wolfgang Bangerth
- Marc Genton
- Jean-Luc Guermond
- Mikyoung Jun
- Guido Kanschat
- Raytcho Lazarov
- Joseph Pasciak
- Guergana Petrova
- Bojan Popov
- Lawrence Rauchwerger
- Huiyan Sang
- William Rundell
Core 2: Deterministic and Statistical Methods in Inverse Problems
Research Core 2 addresses topics where parameters of a “non-transparent” system need to be estimated from external measurements with quantification of associated uncertainties.
- Peter Kuchment leader
- Raymond Carroll co-leader
- Wolfgang Bangerth
- Jianhua Huang
- Faming Liang
- William Rundell
Core 3: Data-Driven Computational Science and Visualization
Research Core 3 addresses topics related to data-driven computational science that is able to incorporate data into an executing application dynamically, in some cases including the ability of the application to dynamically steer the measurement process.
- Marvin Adams leader
- Valerie Taylor co-leader
- Craig Douglas co-leader
- Nancy Amato
- James Hendler
- Chris Johnson
- Thomas Ioerger
- Lawrence Rauchwerger
- Vivek Sarin
- Bjarne Stroustrup
- Wei Zhao
Infrastructure Core
