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Raul F. Tempone

Professor, Applied Mathematics and Computational Science

Computer, Electrical and Mathematical Science and Engineering Division


Stochastic Numerics Research Group

Affiliations

Education Profile

  • ​​​​Ph.D. Numerical Analysis, Royal Institute of Technology, 2002
  • M.S. Engineering Mathematics, Universidad de la Republica, Montevideo, Uruguay, 1999
  • B.S. Industrial and Mechanical Engineering, Universidad de la Republica, Montevideo, Uruguay, 1995

Research Interests

Raul Tempone's research interests are in the mathematical foundation of computational science and engineering. More specifically, he has focused on a posteriori error approximation and related adaptive algorithms for numerical solutions of various differential equations, including ordinary differential equations, partial differential equations, and stochastic differential equations.

He is also interested in the development and analysis of efficient numerical methods for optimal control, uncertainty quantification and bayesian model calibration, validation and optimal experimental design. The areas of application he considers include, among others, engineering, chemistry, biology, physics as well as social science and computational finance.

Selected Publications