Draft:Raul Tempone

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Prof.Raul F. Tempone
Prof. Raul F. Tempone
Prof. Raul F. Tempone
Alma materKTH Royal Institute of Technology, Universidad de la República
Known forNumerical Analysis, Uncertainty Quantification
AwardsAlexander von Humboldt Professorship (2018-2025)

Thomson Reuters Highly Cited Researcher (2016)

Dahlquist Research Fellowship, Royal Institute of Technology (2007-2008)
Scientific career
FieldsApplied Mathematics, Computational Science
InstitutionsKing Abdullah University of Science and Technology, RWTH Aachen University
Doctoral advisorAnders Szepessy

Raul 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 leads the [1] at the RWTH Aachen University in Germany. Tempone's work spans across the development of numerical methods for stochastic differential equations, optimal experimental design, and the advancement of computational science and engineering methodologies.

Early life and education[edit]

Tempone received his B.S. in Industrial Engineering, from 1988 to 1995 and M.S. in Engineering Mathematics from 1998 to 1999[2] from Facultad de Ingeniería,Universidad de la República,Uruguay.

He pursued further education in Sweden, obtaining both a Licenciate Teknolog and a Teknologie Doktor (PhD) from the Royal Institute of Technology (KTH), Stockholm, Sweden. His doctoral thesis, titled "Numerical Complexity Analysis of Weak Approximation of Stochastic Differential Equations",[3] was supervised by Prof. Anders Szepessy and marked a significant contribution to the field of numerical analysis of stochastic processes.

Career[edit]

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)[4]. His research has been driven by applications in various fields, including computational mechanics, quantitative finance, biological and chemical modeling, 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[1]. His work focuses on developing and analyzing efficient numerical methods for stochastic models and differential equations in engineering and sciences.

Research and contributions[edit]

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[edit]

Throughout his career, Tempone has received numerous awards and honors, 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.[5] He has also been a keynote speaker at major international conferences, further attesting to his role as a leading figure in his field.

Teaching and mentorship[edit]

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.[6]

References[edit]

  1. ^ a b "About us - RWTH AACHEN UNIVERSITY UQ - English". www.uq.rwth-aachen.de. Retrieved 2024-03-26.
  2. ^ Tempone, Raúl F. (1999). "Approximation and interpolation of divergence free flows". ISSN 1688-2792. {{cite journal}}: Cite journal requires |journal= (help)
  3. ^ Tempone, Raul (2002). "Numerical Complexity Analysis of Weak Approximation of Stochastic Differential Equations". PhD Dissertation, KTH, Stockholm. ISBN 91-7283-350-5.
  4. ^ "Raul F. Tempone | STOCHNUM | Stochastic Numerics Research Group". cemse.kaust.edu.sa. Retrieved 2024-03-26.
  5. ^ "Raul Fidel Tempone". www.humboldt-foundation.de. Retrieved 2024-03-26.
  6. ^ "Career at MATH4UQ - RWTH AACHEN UNIVERSITY UQ - English". www.uq.rwth-aachen.de. Retrieved 2024-03-26.