Computational Science Laboratory
"Inspired Computational Solutions"

In the Computational Science Laboratory we do fundamental research in numerical methods and develop novel algorithms for the adaptive solution of ordinary and partial differential equations, linear algebra, optimization, methods to model systems with uncertainty, etc. We develop high performance software for large scale-parallel platforms. We apply our new technologies to many important fields. Examples include modeling of atmospheric pollution for better environmental policies; simulation of the stochastic chemical processes inside living cells and understanding the complex biological regulation networks; design of optimal trajectories for the future generation of satellites at Jet Propulsion Laboratory; assimilation of real data streams into atmospheric models for improved forecasts of extreme events like hurricanes; etc. Computational platforms range from multicore workstations and accelerated architectures (e.g., GPUs, IBM cell) to large scale parallel supercomputers.

VT CoE Scholar of the Week, April 30, 2012

Research highlights for observation impact project on, 2012

Dr. Sandu's tutorial on data assimilation, SAMSI Uncertainty Quantification Methodology Opening Workshop, September 2011

Dr. Sandu's lecture at SAMSI/Sandia summer school on Uncertainty Quantification, June 2011

The 2010 NSF ARRA video report highlights CSL's work on air quality modeling.

Some of CSL's research features in the 2008 VT Research Magazine.


  • Scientific Computing
  • Parallel Computing
  • Mathematical Software Development
  • Numerical Methods for Stiff ODE, DAE
  • Conservation Laws
  • Advection-Diffusion-Reaction Equations
  • Sparse Linear Algebra
  • Sensitivity Analysis
  • Data Assimilation
  • Automatic Differentiation
  • Air Quality Modeling
  • Computational Biology
Large picture
Address: Room 2201
KnowledgeWorks II Bldg. 2202 Kraft Dr
Blacksburg, VA 24061
Phone: 540-231-6186.

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  • [conference]