About Alexander Litvinenko Alexander Litvinenko Senior Research Scientist, Stochastic Numerics Research Group spatio-temporal statistics uncertainty quantification Alexander Litvinenko worked as a Senior Research Scientist at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). After 5 years as a research scientist at KAUST (in various groups: the Stochastic Numerics Group and Strategic Initiative in Uncertainty Quantification, Extreme Computing Research Center, and Bayesian Computing) Alexander moved to RWTH Aachen to the position Group leader in Uncertainty Quantification. He earned B.S. and M.S. degrees working on data analysis at Sobolev Institute of Mathematics at the Articles Related News May 2026 Overview of Dr. habil. Alexander Litvinenko's visit from RWTH to the StochNum group 1 min read · Tue, May 19 2026 News Dr. habil. Alexander Litvinenko visited the StochNum group at KAUST from February 5 to 22 as part of his ongoing collaboration with the Stochastic Numerics group and Principal Investigator Raul Tempone. During this visit, he also initiated a new collaboration with PhD student Maksim Chupin, focusing on low-rank tensor methods in stochastic optimal control. In addition, Dr. Litvinenko continued his collaboration with the group of Professor Rolf Krause. Building on previous joint work with research scientist Dmitry Logashenko in the field of uncertainty quantification for density-driven flow February 2021 ECRC contributions to SIAM CSE21 4 min read · Sat, Feb 27 2021 News research conference HPC computational science and engineering ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal April 2018 Dr. Alexander Litvinenko is co-organizing a Minisymposium at the SIAM UQ18 meeting 1 min read · Mon, Apr 16 2018 News In the spring of next year, at the SIAM UQ18 meeting in Orange County, California, Dr. Alexander Litvinenko is co-organizing a Minisymposium called "Low-rank approximations for the forward and the inverse problem." March 2018 Alexander Litvinenko is presenting his collaboration work on Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets at 2018 SIAM PP conference in Tokyo Japan 1 min read · Sun, Mar 4 2018 News Alexander Litvinenko is presenting his collaboration work at the SIAM PP conference in Tokyo, Japan, March 7-10, 2018. This work is done between the stochastic numerics group, Extreme Computing Research Center, and two statistical groups (led by Prof. M. Genton and Prof. Y. Sun) at KAUST. December 2017 Alexander Litvinenko will give an invited talk at the Institute of Computational Science, Lugano, Switzerland 1 min read · Wed, Dec 20 2017 News Alexander Litvinenko will give an invited talk “Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets”, at the Institute of Computational Science, Lugano - Switzerland, December 20th, 2017. March 2017 A. Litvinenko presented his KAUST research work at Nottingham University 1 min read · Fri, Mar 24 2017 News This talk consists of two parts. In the first part, we use low-rank tensor methods to solve elliptic PDE with uncertain coefficients. We start with discretization, applying the Karhunen-Loeve Expansion (KLE) to separate spatial and stochastic variables and applying (generalized ) Polynomial Chaos Expansion (PCE). Alexander Litvinenko is a co-organizer of the HPC Saudi 2017 Conference 1 min read · Mon, Mar 13 2017 News Alexander Litvinenko is a co-organizer of the HPC Saudi 2017 Conference, to be held at KAUST, on March 13-15, 2017. It is always a pleasure to meet ex-colleagues from SRI UQ Center in conferences all around the world 1 min read · Fri, Mar 3 2017 News Pedro Villanova is a PostDoc at Umass Amherst, USA. Pedro is an expert in fast Sensitivity Analysis for Reaction Networks. February 2017 Alexander Litvinenko, together with colleagues from RWTH Aachen, TU Braunschweig and SkolTech is organizing a minisymposium 1 min read · Mon, Feb 27 2017 News data assimilation uncertainty quantification Alexander Litvinenko, together with colleagues from RWTH Aachen, TU Braunschweig (Germany), and SkolTech (Russia) is organizing a minisymposium "Tensor completion techniques in Data Assimilation, Bayesian Updata and UQ problems" at SIAM CSE Conference being held February 27 through March 3, 2017, at the Hilton Atlanta in Atlanta, Georgia, USA. Alexander Litvinenko presented two talks at University of New South Wales, Sydney, Australia 1 min read · Sun, Feb 19 2017 News The first one on Seminar at School of Mathematics and Statistics: Low-rank tensor methods for solving PDEs with uncertain coefficients and Bayesian Update surrogate. Alexander Litvinenko, Sören Wolfers, and Joakim Beck to present their work at the 7th Workshop on High-Dimensional Approximation 1 min read · Mon, Feb 13 2017 News Alexander Litvinenko, Sören Wolfers, and Joakim Beck will present their work at the 7th Workshop on High-Dimensional Approximation, February 13 – 17, 2017, The University of New South Wales, Sydney, Australia. June 2016 Dr. Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update" on 11th International EnKF Workshop 1 min read · Wed, Jun 22 2016 News Dr. Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update" at the 11th International EnKF Workshop, June 20 to 22, 2016, Ulvik, Norway. May 2016 Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update for inverse problems" on 8th International Conference "Inverse Problems: Modeling and Simulation 1 min read · Sat, May 28 2016 News Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update for inverse problems" at the 8th International Conference "Inverse Problems: Modeling and Simulation", May 23 – 28, 2016, in Fethiye, Turkey. April 2016 Dr. Alexander Litvinenko is organizing a minisymposia "Low-rank and Sparse Tensor Methods for Uncertainty Quantification" on SIAM UQ Conference, Lausanne, Switzerland 1 min read · Tue, Apr 5 2016 News Alexander Litvinenko is organizing a mini-symposia "Low-rank and Sparse Tensor Methods for Uncertainty Quantification" at SIAM UQ Conference, 5-8 April 2016, Lausanne, Switzerland. August 2015 A. Litvinenko was invited to Max-Planck Institute for mathematics in Leipzig to give a talk "Numerical methods for solving stochastic partial differential equations in the Tensor Train format", Aug. 18, 2015 1 min read · Tue, Aug 18 2015 News A. Litvinenko was invited to Max-Planck Institute for mathematics in Leipzig to give a talk "Numerical methods for solving stochastic partial differential equations in the Tensor Train format". Dr. A. Litvinenko gave two talks on the Congress on Industrial and Applied Mathematics (ICIAM 2015), Aug. 10-14, 2015 in Beijing, China 1 min read · Mon, Aug 17 2015 News Dr. A. Litvinenko gave two talks at the Congress on Industrial and Applied Mathematics (ICIAM 2015), Aug. 10-14, 2015 in Beijing, China, about low-rank tensor methods for solving stochastic/uncertain partial differential equations. Dr. A. Litvinenko together with colleagues from France and Germany is organizing a minisymposia at Congress on Industrial and Applied Mathematics (ICIAM2015), Aug. 10-14, 2015 in Beijing, China 1 min read · Mon, Aug 10 2015 News Stochastic PDEs Approximations of stochastic and multi-parametric differential equations may lead to extremely high dimensional problems that suffer from the so called curse of dimensionality. Computational tractability may be recovered by relying on adaptive low-rank/sparse approximation. July 2015 Dr. A.Litvinenko is invited to visit the research group of Prof. Dr. Peter Benner at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. 1 min read · Mon, Jul 27 2015 News Dr. A.Litvinenko is invited to visit the research group of Prof. Dr. Peter Benner "Computational Methods in Systems and Control Theory" at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. Alexander Litvinenko was invited to Goethe Center for Scientific Computing, Goethe University Frankfurt, Germany, to give a lecture course "Introduction to tensors: different formats, arithmetics, ranks, few examples" 1 min read · Thu, Jul 23 2015 News Alexander Litvinenko was invited to Goethe Center for Scientific Computing, Goethe University Frankfurt, Germany, to give a lecture course "Introduction to tensors: different formats, arithmetics, ranks, few examples". April 2015 Alexander Litvinenko is giving talk "Sampling and low-rank tensor approximation of the response surface" on workshop "Uncertainty Management for Robust Industrial Design in Aeronautics - UMRIDA", April 15-16, TU Delft, Netherlands 1 min read · Wed, Apr 15 2015 News uncertainty quantification UMRIDA is a Level 1 collaborative project within the European Commission's Seventh Framework Programme. It involves a consortium of 21 partners from the industrial aeronautics sector, leading research institutes and universities as well as SME's. March 2015 Alexander Litvinenko is organizing a mini-symposia "Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations" on SIAM CSE conference in Salt Lake City, March 2015 1 min read · Sat, Mar 14 2015 News Alexander Litvinenko is organizing a mini-symposia "Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations" at the SIAM CSE conference in Salt Lake City, March 2015. August 2014 Alexander Litvinenko participated in the sixth meeting of the working group "Low-rank Tensor Methods for Uncertainty Quantification" 1 min read · Sun, Aug 31 2014 News The meeting took part in the Institute for Scientific Computing (a group of Prof. H. G. Matthies), Braunschweig, Germany. Other participants are experts in tensor methods (Mike Espig, RWTH Aachen) and in posterior error estimation (Martin Eigel, WIAS Berlin). Alexander Litvinenko gave the talk "Computation of the response surface in the tensor train data format" in the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany 1 min read · Tue, Aug 26 2014 News Alexander Litvinenko gave the talk "Computation of the response surface in the tensor train data format" in the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany. May 2014 Dr. Alexander Litvinenko is co-organizer of The Second Scalable Hierarchical Algorithms for eXtreme Computing (SHAXC-2) workshop 1 min read · Sun, May 4 2014 News Dr. Alexander Litvinenko is co-organizer of The Second Scalable Hierarchical Algorithms for eXtreme Computing (SHAXC-2) workshop. KAUST, May 4-6. April 2014 Hierarchical matrix introduction course by Dr. Alexander Litvinenko (KAUST) and Dr. Rio Yokota (KAUST) 1 min read · Tue, Apr 22 2014 News Alexander Litvinenko joined the Stochastic Numerics Group and Strategic Initiative in Uncertainty Quantification at KAUST in 2013. He specializes in efficient numerical methods for stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is involved in Bayesian update methods for solving inverse problems, with the goal of reducing the complexity of both the stochastic forward problem as well as the Bayesian update by a low-rank (sparse) tensor data approximation. Seminar: Scalable hierarchical algorithms for PDEs and UQ By Dr. Alexander Litvinenko (KAUST) and Dr. Rio Yokota (KAUST) 1 min read · Thu, Apr 10 2014 News Class schedule: Thursday, Apr. 10th, 2014 from 12:00 pm to 01:00 pm Location: Building 9, Lecture Hall I, Room 2322 Refreshments: Pizza and soft drinks @ 11:50 am Biography Alexander Litvinenko joined the Stochastic Numerics Group and Strategic Initiative in Uncertainty Quantification at KAUST in 2013. He specializes in efficient numerical methods for stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is involved in Bayesian update methods for solving inverse problems, with the goal of reducing the complexity of both the stochastic forward problem as well as the Bayesian February 2014 CS Graduate Seminar: Overview of numerical methods for quantification of uncertainties by Dr. Alexander Litvinenko (KAUST) 2 min read · Tue, Feb 4 2014 News Alexander Litvinenko has joined the Stochastic Numerics Group and SRI Uncertainty Quantification Center at KAUST in September 2013. Alexander is an Applied Mathematician and Computational Scientist specializing in efficient numerical methods for solving stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is also involved in Bayesian update methods for solving inverse problems. September 2013 Welcome New Senior Research Scientist: Dr. Alexander Litvinenko 1 min read · Tue, Sep 24 2013 News Alexander Litvinenko has joined the Stochastic Numerics Group and SRI Uncertainty Quantification Center at KAUST. Alexander is an Applied Mathematician and Computational Scientist specializing in efficient numerical methods for solving stochastic PDEs, uncertainty quantification, and multi-linear algebra.
Overview of Dr. habil. Alexander Litvinenko's visit from RWTH to the StochNum group 1 min read · Tue, May 19 2026 News Dr. habil. Alexander Litvinenko visited the StochNum group at KAUST from February 5 to 22 as part of his ongoing collaboration with the Stochastic Numerics group and Principal Investigator Raul Tempone. During this visit, he also initiated a new collaboration with PhD student Maksim Chupin, focusing on low-rank tensor methods in stochastic optimal control. In addition, Dr. Litvinenko continued his collaboration with the group of Professor Rolf Krause. Building on previous joint work with research scientist Dmitry Logashenko in the field of uncertainty quantification for density-driven flow
ECRC contributions to SIAM CSE21 4 min read · Sat, Feb 27 2021 News research conference HPC computational science and engineering ECRC @ SIAM CSE21! Follow us @KAUST_ECRC As in previous SIAM conferences on Parallel Processing (PP) and Computational Science and Engineering (CSE), ECRC members and their collaborators will have a strong presence at SIAM CSE21, nominally in Fort Worth, Texas, but held virtually due to the pandemic. ************************************************** SIAM CSE21 will run virtually with live sessions. ************************************************** Registration to SIAM CSE is required to gain access to the online platform and attend live sessions. Once registered, please use your personal
Dr. Alexander Litvinenko is co-organizing a Minisymposium at the SIAM UQ18 meeting 1 min read · Mon, Apr 16 2018 News In the spring of next year, at the SIAM UQ18 meeting in Orange County, California, Dr. Alexander Litvinenko is co-organizing a Minisymposium called "Low-rank approximations for the forward and the inverse problem."
Alexander Litvinenko is presenting his collaboration work on Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets at 2018 SIAM PP conference in Tokyo Japan 1 min read · Sun, Mar 4 2018 News Alexander Litvinenko is presenting his collaboration work at the SIAM PP conference in Tokyo, Japan, March 7-10, 2018. This work is done between the stochastic numerics group, Extreme Computing Research Center, and two statistical groups (led by Prof. M. Genton and Prof. Y. Sun) at KAUST.
Alexander Litvinenko will give an invited talk at the Institute of Computational Science, Lugano, Switzerland 1 min read · Wed, Dec 20 2017 News Alexander Litvinenko will give an invited talk “Likelihood Approximation With Hierarchical Matrices For Large Spatial Datasets”, at the Institute of Computational Science, Lugano - Switzerland, December 20th, 2017.
A. Litvinenko presented his KAUST research work at Nottingham University 1 min read · Fri, Mar 24 2017 News This talk consists of two parts. In the first part, we use low-rank tensor methods to solve elliptic PDE with uncertain coefficients. We start with discretization, applying the Karhunen-Loeve Expansion (KLE) to separate spatial and stochastic variables and applying (generalized ) Polynomial Chaos Expansion (PCE).
Alexander Litvinenko is a co-organizer of the HPC Saudi 2017 Conference 1 min read · Mon, Mar 13 2017 News Alexander Litvinenko is a co-organizer of the HPC Saudi 2017 Conference, to be held at KAUST, on March 13-15, 2017.
It is always a pleasure to meet ex-colleagues from SRI UQ Center in conferences all around the world 1 min read · Fri, Mar 3 2017 News Pedro Villanova is a PostDoc at Umass Amherst, USA. Pedro is an expert in fast Sensitivity Analysis for Reaction Networks.
Alexander Litvinenko, together with colleagues from RWTH Aachen, TU Braunschweig and SkolTech is organizing a minisymposium 1 min read · Mon, Feb 27 2017 News data assimilation uncertainty quantification Alexander Litvinenko, together with colleagues from RWTH Aachen, TU Braunschweig (Germany), and SkolTech (Russia) is organizing a minisymposium "Tensor completion techniques in Data Assimilation, Bayesian Updata and UQ problems" at SIAM CSE Conference being held February 27 through March 3, 2017, at the Hilton Atlanta in Atlanta, Georgia, USA.
Alexander Litvinenko presented two talks at University of New South Wales, Sydney, Australia 1 min read · Sun, Feb 19 2017 News The first one on Seminar at School of Mathematics and Statistics: Low-rank tensor methods for solving PDEs with uncertain coefficients and Bayesian Update surrogate.
Alexander Litvinenko, Sören Wolfers, and Joakim Beck to present their work at the 7th Workshop on High-Dimensional Approximation 1 min read · Mon, Feb 13 2017 News Alexander Litvinenko, Sören Wolfers, and Joakim Beck will present their work at the 7th Workshop on High-Dimensional Approximation, February 13 – 17, 2017, The University of New South Wales, Sydney, Australia.
Dr. Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update" on 11th International EnKF Workshop 1 min read · Wed, Jun 22 2016 News Dr. Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update" at the 11th International EnKF Workshop, June 20 to 22, 2016, Ulvik, Norway.
Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update for inverse problems" on 8th International Conference "Inverse Problems: Modeling and Simulation 1 min read · Sat, May 28 2016 News Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update for inverse problems" at the 8th International Conference "Inverse Problems: Modeling and Simulation", May 23 – 28, 2016, in Fethiye, Turkey.
Dr. Alexander Litvinenko is organizing a minisymposia "Low-rank and Sparse Tensor Methods for Uncertainty Quantification" on SIAM UQ Conference, Lausanne, Switzerland 1 min read · Tue, Apr 5 2016 News Alexander Litvinenko is organizing a mini-symposia "Low-rank and Sparse Tensor Methods for Uncertainty Quantification" at SIAM UQ Conference, 5-8 April 2016, Lausanne, Switzerland.
A. Litvinenko was invited to Max-Planck Institute for mathematics in Leipzig to give a talk "Numerical methods for solving stochastic partial differential equations in the Tensor Train format", Aug. 18, 2015 1 min read · Tue, Aug 18 2015 News A. Litvinenko was invited to Max-Planck Institute for mathematics in Leipzig to give a talk "Numerical methods for solving stochastic partial differential equations in the Tensor Train format".
Dr. A. Litvinenko gave two talks on the Congress on Industrial and Applied Mathematics (ICIAM 2015), Aug. 10-14, 2015 in Beijing, China 1 min read · Mon, Aug 17 2015 News Dr. A. Litvinenko gave two talks at the Congress on Industrial and Applied Mathematics (ICIAM 2015), Aug. 10-14, 2015 in Beijing, China, about low-rank tensor methods for solving stochastic/uncertain partial differential equations.
Dr. A. Litvinenko together with colleagues from France and Germany is organizing a minisymposia at Congress on Industrial and Applied Mathematics (ICIAM2015), Aug. 10-14, 2015 in Beijing, China 1 min read · Mon, Aug 10 2015 News Stochastic PDEs Approximations of stochastic and multi-parametric differential equations may lead to extremely high dimensional problems that suffer from the so called curse of dimensionality. Computational tractability may be recovered by relying on adaptive low-rank/sparse approximation.
Dr. A.Litvinenko is invited to visit the research group of Prof. Dr. Peter Benner at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. 1 min read · Mon, Jul 27 2015 News Dr. A.Litvinenko is invited to visit the research group of Prof. Dr. Peter Benner "Computational Methods in Systems and Control Theory" at the Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
Alexander Litvinenko was invited to Goethe Center for Scientific Computing, Goethe University Frankfurt, Germany, to give a lecture course "Introduction to tensors: different formats, arithmetics, ranks, few examples" 1 min read · Thu, Jul 23 2015 News Alexander Litvinenko was invited to Goethe Center for Scientific Computing, Goethe University Frankfurt, Germany, to give a lecture course "Introduction to tensors: different formats, arithmetics, ranks, few examples".
Alexander Litvinenko is giving talk "Sampling and low-rank tensor approximation of the response surface" on workshop "Uncertainty Management for Robust Industrial Design in Aeronautics - UMRIDA", April 15-16, TU Delft, Netherlands 1 min read · Wed, Apr 15 2015 News uncertainty quantification UMRIDA is a Level 1 collaborative project within the European Commission's Seventh Framework Programme. It involves a consortium of 21 partners from the industrial aeronautics sector, leading research institutes and universities as well as SME's.
Alexander Litvinenko is organizing a mini-symposia "Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations" on SIAM CSE conference in Salt Lake City, March 2015 1 min read · Sat, Mar 14 2015 News Alexander Litvinenko is organizing a mini-symposia "Efficient Methods for Uncertainty Quantification by Means of Tensor Format Representations" at the SIAM CSE conference in Salt Lake City, March 2015.
Alexander Litvinenko participated in the sixth meeting of the working group "Low-rank Tensor Methods for Uncertainty Quantification" 1 min read · Sun, Aug 31 2014 News The meeting took part in the Institute for Scientific Computing (a group of Prof. H. G. Matthies), Braunschweig, Germany. Other participants are experts in tensor methods (Mike Espig, RWTH Aachen) and in posterior error estimation (Martin Eigel, WIAS Berlin).
Alexander Litvinenko gave the talk "Computation of the response surface in the tensor train data format" in the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany 1 min read · Tue, Aug 26 2014 News Alexander Litvinenko gave the talk "Computation of the response surface in the tensor train data format" in the Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany.
Dr. Alexander Litvinenko is co-organizer of The Second Scalable Hierarchical Algorithms for eXtreme Computing (SHAXC-2) workshop 1 min read · Sun, May 4 2014 News Dr. Alexander Litvinenko is co-organizer of The Second Scalable Hierarchical Algorithms for eXtreme Computing (SHAXC-2) workshop. KAUST, May 4-6.
Hierarchical matrix introduction course by Dr. Alexander Litvinenko (KAUST) and Dr. Rio Yokota (KAUST) 1 min read · Tue, Apr 22 2014 News Alexander Litvinenko joined the Stochastic Numerics Group and Strategic Initiative in Uncertainty Quantification at KAUST in 2013. He specializes in efficient numerical methods for stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is involved in Bayesian update methods for solving inverse problems, with the goal of reducing the complexity of both the stochastic forward problem as well as the Bayesian update by a low-rank (sparse) tensor data approximation.
Seminar: Scalable hierarchical algorithms for PDEs and UQ By Dr. Alexander Litvinenko (KAUST) and Dr. Rio Yokota (KAUST) 1 min read · Thu, Apr 10 2014 News Class schedule: Thursday, Apr. 10th, 2014 from 12:00 pm to 01:00 pm Location: Building 9, Lecture Hall I, Room 2322 Refreshments: Pizza and soft drinks @ 11:50 am Biography Alexander Litvinenko joined the Stochastic Numerics Group and Strategic Initiative in Uncertainty Quantification at KAUST in 2013. He specializes in efficient numerical methods for stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is involved in Bayesian update methods for solving inverse problems, with the goal of reducing the complexity of both the stochastic forward problem as well as the Bayesian
CS Graduate Seminar: Overview of numerical methods for quantification of uncertainties by Dr. Alexander Litvinenko (KAUST) 2 min read · Tue, Feb 4 2014 News Alexander Litvinenko has joined the Stochastic Numerics Group and SRI Uncertainty Quantification Center at KAUST in September 2013. Alexander is an Applied Mathematician and Computational Scientist specializing in efficient numerical methods for solving stochastic PDEs, uncertainty quantification, and multi-linear algebra. He is also involved in Bayesian update methods for solving inverse problems.
Welcome New Senior Research Scientist: Dr. Alexander Litvinenko 1 min read · Tue, Sep 24 2013 News Alexander Litvinenko has joined the Stochastic Numerics Group and SRI Uncertainty Quantification Center at KAUST. Alexander is an Applied Mathematician and Computational Scientist specializing in efficient numerical methods for solving stochastic PDEs, uncertainty quantification, and multi-linear algebra.
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