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	2021 KAUST Competition on Spatial Statistics for Large Datasets	KAUST Competition on Spatial Statistics, Competitions
	2022 KAUST Competition on Spatial Statistics for Large Datasets	KAUST Competition on Spatial Statistics, Competitions
	2023 KAUST Competition on Spatial Statistics for Large Datasets	KAUST Competition on Spatial Statistics, Competitions
	50th Anniversary of CAMWA - Heidelberg, 5/6 September 2025	numerical analysis, scientific computing, Workshop
	A Benchmark and Simulator for UAV Tracking (Dataset)	Resources
	A Benchmark and Simulator for UAV Tracking (Simulator)	Research
	A Derivative Tracking Model for Wind Power Forecast Error
	A simple approach to proving the existence, uniqueness, and strong and weak convergence rates for a broad class of McKean--Vlasov equations
	A Universal Splitting Estimator for the Performance Evaluation of Wireless Communications Systems
	A Wasserstein Coupled Particle Filter for Multilevel Estimation
	About	Research
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	About	Research
	About	Research
	About	Research
	Activity Net	Research
	Advanced Semiconductor Laboratory Publications	Research
	Advanced Topics in Computer Networks	Study
	Aerial Robotics
	AI Faculty
	Akram has been awarded Best Student Paper Award (3rd place) at (IMS) 2016
	Akram presented a poster and gave a live demo in IEEE Sensors Conference
	Al-Kindi Distinguished Statistics Lectures
	Al-Kindi Student Awards
	Alexander Litvinenko - Courses
	AMCS 301 Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches	Bayesian Inversion, Bayesian optimal experimental design, hierarchical and sparse approximation, Hierarchical regression, Low-rank approximation, Monte carlo methods, Multi-index, Multilevel Monte Carlo, Quasi-Monte Carlo, Random PDEs, stochastic algorithms, Stochastic collocation, Teaching
	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 308 Stochastic Numerics with Application in Simulation and Data Science	data assimilation, Filtering theory, Importance sampling, Monte carlo methods, stochastic algorithms, Stochastic Methods, Stochastic Modeling, Stochastic Optimal Control, Stochastic processes, Variance Reduction, Teaching
	AMCS 336 - Fall 2022 - Numerical Methods for Stochastic Differential Equations by Prof. Raul Tempone	Teaching
	AMCS 336 Numerical Methods for Stochastic Differential Equations with connections to Machine Learning	Fokker-Planck equations, Hamilton-Jabobi-Bellman, Importance sampling, Ito integral, Kolmogorov Backward Equation, Monte Carlo, Multilevel Monte Carlo, stochastic differential equations, Stochastic Optimal Control, Variance Reduction, Teaching
	An Accurate Sample Rejection Estimator for the Estimation of Outage Probability With Equal Gain Combining
	Analysis and Optimization of Decision and Inhibitory Trees, Rules, and Tests (initiative project)	Books
	Applied Mathematics School
	Apply for Postdoc Opening in MBE at KAUST!	Opportunities
	Association of genetic variation with phenotype at the network and function level. An obesity-induced insulin resistance case study in the Saudi Arabian population
	Average Time Complexity of Decision Trees - Book preparation	Books
	Awards and Distinctions
	Azamat’s work on RF Energy Harvesting published in Nano-Energy
	Basic Page Title (TEST embedding Basic Page inside Bricky Page)
	BayesComp Visitors
	BDL News Archive
	Biosensors and Lab-On-Chip
	Biostatistics Research Group - Toolboxes
	Book / Chapter	Publications
	Book Chapters ISL
	BORG Current Research List	Research
	Brain Inspired Computing
	Broadband Semiconductor Lasers
	Cell Visualization Summit Media
	Chemical Sensors
	Cloud	Research
	Collaborators
	Collaborators	Research
	Collaborators	Research
	Collaborators	Research
	Collaborators	Research
	Collaborators	Research
	Collaborators	Research
	Collaborators	Research
	Combinatorial Machine Learning: A Rough Set Approach - Book preparation	Books
	Computer Networks	Study
	Conference Proceedings	Publications
	Conference Proceedings
	Conference Publications ISL
	Conferences and Proceedings (2009-Present)
	Constrained Perturbation Regularization Approach for Signal Estimation Using Random Matrix Theory
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