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Personal profile

Research Overview

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.

Key Research Areas

Applied Mathematics and Computational Science

Expertise related to UN Sustainable Devlopment Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities

Education

Numerical Analysis, Ph.D., KTH Royal Institute of Technology

2002

Award Date: Jan 1 2002

Engineering Mathematics, M.S., Universidad de la República

1999

Award Date: Jan 1 1999

Industrial and Mechanical Engineering, B.S., Universidad de la República

1995

Award Date: Jan 1 1995

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