Draft:Raul Tempone

• Comment: No indication of passing WP:NACADEMIC? and inappropriate in tone especially the Lead and Teaching and mentorship sections. Qcne (talk) 19:50, 26 March 2024 (UTC)

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Prof.Raul F. Tempone
Prof. Raul F. Tempone
Alma mater	KTH Royal Institute of Technology, Universidad de la República
Known for	Numerical Analysis, Uncertainty Quantification
Awards	Alexander von Humboldt Professorship (2018-2025) Thomson Reuters Highly Cited Researcher (2016) Dahlquist Research Fellowship, Royal Institute of Technology (2007-2008)
Scientific career
Fields	Applied Mathematics, Computational Science
Institutions	King Abdullah University of Science and Technology, RWTH Aachen University
Doctoral advisor	Anders Szepessy

Raúl Fidel Tempone is a distinguished mathematician and professor known for his contributions to numerical analysis, stochastic numerics, and uncertainty quantification. He is currently a full professor at the King Abdullah University of Science and Technology (KAUST) and holds a professorship at RWTH Aachen University in Germany. Tempone's work spans the development of numerical methods for stochastic differential equations, optimal experimental design, and advancements in computational science and engineering methodologies.

Early life and education

Tempone received his B.S. in Industrial Engineering from the Facultad de Ingeniería, Universidad de la República, Uruguay, where he studied from 1988 to 1995. He then earned his M.S. in Engineering Mathematics from the same institution from 1998 to 1999.

He pursued further education in Sweden, obtaining both a Licenciate Teknolog and a Teknologie Doktor (Ph.D.) from the Royal Institute of Technology (KTH) in Stockholm. His doctoral thesis, titled "Numerical Complexity Analysis of Weak Approximation of Stochastic Differential Equations," was supervised by Professor Anders Szepessy and made a significant contribution to the field of numerical analysis of stochastic processes.

Career

Following his postdoctoral fellowship at the University of Texas at Austin, Tempone served as an Assistant Professor at Florida State University. In 2009, he joined KAUST, where he has since established the Stochastic Numerics Research Group (STOCHNUM). His research has been driven by applications in various fields, including computational mechanics, quantitative finance, biological and chemical modelling, and wireless communications.

In 2018, Tempone was awarded the prestigious Alexander von Humboldt Professorship and established the Chair of Mathematics for Uncertainty Quantification at RWTH Aachen University. His work focuses on developing and analyzing efficient numerical methods for stochastic models and differential equations in engineering and sciences.

Research and contributions

Tempone's research interests include numerical analysis, stochastic numerics, and uncertainty quantification. He has made seminal contributions to the development of efficient computational methods for stochastic differential equations, Bayesian inverse problems, and stochastic optimal control. His work on multi-level and multi-index Monte Carlo methods has been particularly influential, offering significant improvements in computational efficiency for a wide range of applications in science and engineering.

Awards and honors

Throughout his career, Tempone has received numerous awards and honours, highlighting his contributions to mathematics and computational science. Notably, he was awarded the Alexander von Humboldt Professorship in 2018, one of the most prestigious academic awards in Germany, recognizing his innovative approaches to uncertainty quantification. He has also been a keynote speaker at major international conferences, further attesting to his role as a leading figure in his field.

He received the First Dahlquist Research Fellowship from the Royal Institute of Technology (KTH) in Stockholm, Sweden, from 2007 to 2008. This prestigious fellowship, awarded in honor of Germund Dahlquist, supports research in numerical analysis and scientific computing. During 2006 and 2007, he was recognized as an Oden Faculty Research Fellow at the Institute for Computational and Engineering Sciences (ICES), University of Texas at Austin. This fellowship is part of the J. Tinsley Oden Faculty Fellowship Research Program, which invites distinguished researchers to collaborate on interdisciplinary computational science and engineering projects.

From 2003 to 2005, Tempone held an ICES Postdoctoral Fellowship at the University of Texas at Austin, supporting their early-career research in computational science and engineering. In 2006–2007, they were a Swedish Institute Research Fellow, a program that supports international researchers conducting studies in Sweden.

Earlier in his academic career, he received a Student Scholarship from the Institute for Pure and Applied Mathematics (IMPA) in Rio de Janeiro, Brazil, funded by the National Counsel of Technological and Scientific Development (CNPq) of Brazil, in the summer of 1992.

Teaching and mentorship

An inspiring educator, Tempone has supervised numerous PhD and Master's students, guiding them in their research and academic development. His commitment to mentorship is evident from the success of his students, many of whom have gone on to prestigious positions in academia and industry.

As a Principal Investigator at Stochastic Numerics Research Group, Tempone has worked on multiple research publications in the fields of 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.

Also as the Director of Strategic Research Initiative at Center for Uncertainty Quantification in Science and Engineering , his major influence has been in 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.