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1 (2) | 2 (23) | A (84) | B (22) | C (18) | D (47) | E (23) | F (9) | G (13) | H (19) | I (5) | J (12) | K (11) | L (9) | M (49) | N (11) | O (12) | P (113) | Q (2) | R (18) | S (81) | T (8) | U (3) | V (5) | W (15) | X (1) | Y (6) | Z (3) | (2)

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	2012
	2012 MCSE Winter School: Applied Mathematics on Uncertainty Quantification (News)	News
	2013
	2014
	2014 SIAM Conference on Uncertainty Quantification - Presentations (News)	News
	2015
	2016
	2017
	2018
	2019
	2020
	2021
	Jan 18, 15:00 - 16:00, A Bayesian level-set approach for geometric inverse problems (B1 R4214), Prof. Marco A. Iglesias, School of Mathematical Sciences, University of Nottingham	Seminar
	A Derivative Tracking Model for Wind Power Forecast Error
	A new Ms/Ph.D. student joins the team (News)	stochastic optimization, uncertainty quantification, News
	A new Ph.D. student joins the team (News)	News
	Sep 8, 14:30 - 16:00, A regularising ensemble Kalman method for PDE-constrained inverse problems By Prof. Marco Iglesias (University of Nottingham, U.K.) (B1 R4214), Dr. Marco A. Iglesias, Assistant Professor in Scientific Computation, School of Mathematical Sciences, University of Nottingham	Seminar
	Oct 31, 12:00 - 13:00, A Sample from the Stochastic Numerics Group by Prof. Raul Tempone (B9 L2 R2322 H1), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	Seminar
	A series of seminar talks at RWTH Aachen University (Germany) by Chiheb Ben Hammouda (News)	News
	A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean--Vlasov equations
	A talk by Chiheb Ben Hammouda in the International Conference on Computational Finance 2019 (ICCF2019), Coruña, Spain (News)	News
	A talk by Dr. Chiheb Ben Hammouda in the Monte Carlo & Quasi-Monte Carlo (MCQMC) Methods in Scientific Computing Conference, in August 2020, University of Oxford (News)	markov chains, Monte Carlo, News
	A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
	A Wasserstein Coupled Particle Filter for Multilevel Estimation
	A. Litvinenko presented his KAUST research work at Nottingham University (News)	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", Aug. 18, 2015 (News)	News
	Abdelgabar Ahmed, M.S. Student, King Abdullah University of Science and Technology
	Abdul Aziz H. Ibrahim, Consultant, King Abdullah University of Science and Technology
	Abdul-Lateef Haji-Ali successfully defended his PhD thesis (News)	News
	Abdulaziz Ahmed Al-Tayar, Visiting Student (former), King Abdullah University of Science and Technology
	Abdulaziz Alamodi, Abdulaziz Alamodi > Appointments, Roles and Affiliations
	Abdulkarem Badiea Alshaibani, Visiting Student (former), King Abdullah University of Science and Technology	Localization, machine learning
	Abdullah Almuallem, Intern (former), King Abdullah University of Science and Technology
	Abdullatif Al-Rabah, M.S. (former), Electrical and Computer Engineering	communication, Network Design, Signal processing
	Academic collaboration between KAUST and RWTH Aachen in a new project (News)	News
	Feb 11, 15:00 - 16:00, Accurate Filtering With 3DVAR For Dissipative Systems By Dr. Kody Law (University of Warwick, United Kingdom) (B1 R4214), Dr. Kody Law, Postdoctoral Research Fellow, University of Warwick, United Kingdom	Seminar
	Adaptive Multi Level Monte Carlo (MLMC), Wed, Jun 1 2011 - Fri, Nov 1 2013	stochastic differential equations
	Adel Mohammed, Intern, King Abdullah University of Science and Technology
	Jan 6, 09:00 - Jan 10, 17:00, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2014) (B4 B5 A0215), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	algorithms, uncertainty quantification, Workshop
	Jan 6, 09:00 - Jan 9, 17:00, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015) (B4 B5 A0215), Raul Tempone, Professor, Applied Mathematics and Computational Sciences	algorithms, uncertainty quantification, Workshop
	Jan 5, 08:30 - Jan 10, 18:30, Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016) (B4 B5 A0215), Omar Knio, Professor, Applied Mathematics and Computational Sciences	Workshop
	Agustín Estramil, Visiting Student, Stochastic Numerics Research Group	numerical analysis
	Ahmad Dkhan, Visiting Student, King Abdullah University of Science and Technology
	Ahmad Sait, M.S. Student, Computer Science	Computer Vision, Deep generative models, machine learning
	Ahmed Alkhalawi, Visiting Scholar (former), King Abdullah University of Science and Technology
	Ahmed Youssef Ragab Radwan, Visiting Student (former), Information Science Lab	artificial intelligence, deep learning, optimization, TinyML
	Ahsan Mehmood, Intern (former), Information Science Lab	Biomedical Signal Processing, Digital signal processing, healthcare, IoT, machine learning
	Ajay Jasra will be visiting the SRI Uncertainty Quantification Center during the period Oct. 11 -16, 2014 (News)	News
	Aku Jaakko Alexis Kammonen, Postdoctoral Research Fellow, Stochastic Numerics Research Group	machine learning, numerical methods, uncertainty quantification
	Alaa Alameer Ahmad, Visiting Researcher (former), King Abdullah University of Science and Technology	communication networks, Signal processing
	Alain Bensoussan will be visiting the SRI Uncertainty Quantification Center during the period Feb. 22 - 25, 2014 (News)	News
	Alessandro Iania, Visiting Student, Stochastic Numerics Research Group	Computational finance, Mathematical modeling
	Alexander Litvinenko, Senior Research Scientist, Stochastic Numerics Research Group	spatio-temporal statistics, uncertainty quantification
	Alexander Litvinenko - Courses
	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 (News)	News
	Alexander Litvinenko is a co-organizer of the HPC Saudi 2017 Conference (News)	News
	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 (News)	uncertainty quantification, News
	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 (News)	News
	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 (News)	News
	Alexander Litvinenko participated in the sixth meeting of the working group "Low-rank Tensor Methods for Uncertainty Quantification" (News)	News
	Alexander Litvinenko presented his work "Approximation of non-linear Bayesian update for inverse problems" on 8th International Conference "Inverse Problems: Modeling and Simulation (News)	News
	Alexander Litvinenko presented two talks at University of New South Wales, Sydney, Australia (News)	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" (News)	News
	Alexander Litvinenko will give an invited talk at the Institute of Computational Science, Lugano, Switzerland (News)	News
	Alexander Litvinenko, Sören Wolfers, and Joakim Beck to present their work at the 7th Workshop on High-Dimensional Approximation (News)	News
	Alexander Litvinenko, together with colleagues from RWTH Aachen, TU Braunschweig and SkolTech is organizing a minisymposium (News)	data assimilation, uncertainty quantification, News
	Ali O Balubaid, Researcher, King Abdullah University of Science and Technology	bioscience, Cellular Networks, living systems, Mathematical modeling, Tissue Engineering
	Alvaro Moraes, Postdoctoral Research Fellow, Stochastic Numerics Research Group	uncertainty quantification
	Alvaro Moraes successfully defended his PhD thesis (News)	News
	AMCS - PhD Thesis Defense: Multilevel Approximations of Markovian Jump Processes with Applications in Communication Networks By Pedro Vilanova (PhD Student of Prof. Raul Tempone, KAUST) (News)	News
	AMCS - PhD Thesis Defense: Simulation and Statistical Inference of Stochastic Reaction Networks with Applications to Epidemic Models By Alvaro Moraes (PhD Student of Prof. Raul Tempone, KAUST) (News)	News
	AMCS 307 - Advanced Statistical Inference by Prof. Marco Scavino	Teaching
	AMCS 308 - Stochastic Numerics with Application in Simulation and Data Science by Prof. Raul Tempone	Teaching
	AMCS 336 - Fall 2022 - Numerical Methods for Stochastic Differential Equations by Prof. Raul Tempone	Teaching
	AMCS Graduate Seminar: A Sample from the Stochastic Numerics Group by Raul Tempone (News)	News
	AMCS Graduate Seminar: Multi-Index Monte Carlo: when sparsity meets sampling By Prof. Raul Tempone (News)	News
	AMCS Seminar: Meanfield games and model predictive control by Prof. Michael Herty (RWTH Aachen University) (News)	News
	AMCS Seminar: Monte Carlo simulation of electron dynamics in liquid water by PhD student, Andre Herzwurm (Technische Universität Kaiserslautern, Germany) (News)	News
	AMCS Seminar: Multi-level Monte Carlo for Approximation of Densities by Prof. Klaus Ritter (News)	News
	AMCS Seminar: Sparse-grids-based Uncertainty Quantification of geochemical compaction of sedimentary basins (News)	News
	Amin Wu, Ph.D. Student, Applied Mathematics and Computational Sciences	Gaussian processes, spatio-temporal statistics
	Ammar El Falou, Research Scientist, Computer Science
	Ammar Mohamed Seliaman, M.S. Student, King Abdullah University of Science and Technology
	Mar 6, 15:00 - 16:00, An a posteriori error estimate for Symplectic Euler approximation of optimal control problems By Prof. Mattias Sandberg (B1 R4214), Prof. Mattias Sandberg Associate Professor, KTH Royal Institute of Technology, Sweden	Seminar
	An Accurate Sample Rejection Estimator for the Estimation of Outage Probability With Equal Gain Combining
	Apr 29, 14:00 - 15:00, An Integrated Approach for Model-Based Systems and Software Engineering (B1 R4214), Prof. Jacques Duysens, Systems Business Development Director for EMEA at ANSYS, Inc	Seminar
	Oct 1, 15:30 - Oct 6, 17:00, An Introduction to Stochastic Control Theory By Prof. Boualem Djehiche (KTH Royal Institute of Technology, Stockholm, Sweden) (B1 R4214), Prof. Boualem Djehiche, KTH Royal Institute of Technology, Stockholm, Sweden	Seminar