Raul Fidel Tempone

Applied Mathematics

Raul Tempone is trying to remove uncertainty – at a very abstract level. He is an expert on what is known as Uncertainty Quantification (UQ), an as yet fairly new mathematical specialisation that is currently making a breakthrough. The aim of uncertainty quantification is to reliably assess the distribution of sources of error, problems and uncertainties in situations for which not all the individual parameters are known. A typical scenario would be a frontal collision with another car: even if it is known how fast the car was travelling at the time of collision, it is difficult to predict how fast a human body is accelerated in the process. There are too many uncertainties involved – events may be influenced by even tiny differences in the way the car is made, such as how tightly individual screws are fitted. Uncertainty quantification seeks to deliver quantitative statements for such complex situations using methods like stochastic property analysis and mathematical as well as computer-assisted modelling. Raul Tempone is considered a pioneer in the development of numerical methods for UQ. The mathematician, currently pursuing his research in Saudi Arabia, has developed fundamental approaches to the mathematical characterisation and processing of uncertainty using model problems.

Brief bio

Raul Tempone is trying to remove uncertainty – at a very abstract level. He is an expert on what is known as Uncertainty Quantification (UQ), an as yet fairly new mathematical specialisation that is currently making a breakthrough. The aim of uncertainty quantification is to reliably assess the distribution of sources of error, problems and uncertainties in situations for which not all the individual parameters are known. A typical scenario would be a frontal collision with another car: even if it is known how fast the car was travelling at the time of collision, it is difficult to predict how fast a human body is accelerated in the process. There are too many uncertainties involved – events may be influenced by even tiny differences in the way the car is made, such as how tightly individual screws are fitted. Uncertainty quantification seeks to deliver quantitative statements for such complex situations using methods like stochastic property analysis and mathematical as well as computer-assisted modelling. Raul Tempone is considered a pioneer in the development of numerical methods for UQ. The mathematician, currently pursuing his research in Saudi Arabia, has developed fundamental approaches to the mathematical characterisation and processing of uncertainty using model problems.

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