All Content

Content Type

First Letter

(1) | 2 (7) | 3 (1) | 5 (2) | 6 (1) | A (85) | B (22) | C (48) | D (40) | E (42) | F (33) | G (24) | H (31) | I (15) | J (19) | K (48) | L (18) | M (69) | N (14) | O (17) | P (52) | Q (6) | R (34) | S (80) | T (40) | U (7) | V (4) | W (18) | X (9) | Y (16) | Z (11)

	Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals (News)	INLA, statistics, xstat research highlights, News
	Raul Tempone, Professor, Applied Mathematics and Computational Sciences	bayesian inference, Computational finance, computational statistics, data assimilation, hierarchical and sparse approximation, numerical analysis, optimal control, optimal experimental design, stochastic differential equations, stochastic optimization, uncertainty quantification
	Real-time modeling a step closer to reality (News)	News
	Feb 13, 12:00 - 13:00, Recent Advances in Infinity Laplacian Equations (B9, L2, R2325), Aelson Sobral, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Apr 28, 16:30 - 17:30, Recent approaches for flexible and efficient analysis of non-stationary time series (B2 B3 A0215), Prof. Raquel Prado, Department of Statistics, University of California	Seminar
	Oct 28, 12:00 - 13:00, Recent progress on symbolic computation for PDE and their numerical schemes (KAUST), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Graduate Seminar
	Reconstructing the Red Sea's climate patterns (News)	earth science and engineering, News
	Record number of Saudi students graduate from KAUST in 2024 (News Clip, News)	commencement, News Clip, News
	Red Sea flushes faster from far-flung volcanoes (News)	earth science and engineering, marine science, oceanography, Red Sea, News
	Red Sea temperatures to cool in coming decades (News)	Bayesian Estimation, geophysical fluid systems, uncertainty quantification, News
	Mar 24, 12:00 - 13:00, Regression models for count and proportion data (B9 L2 H2), Alexandre de Bustamante Simas , Research Scientist, Statistics	Graduate Seminar
	Apr 19, 16:00 - 18:00, Regularized Regression for Survival Data: Methods and Applications (B1 L4 R4102), Yi Li, Professor, Biostatistics, University of Michigan	Lecture
	Rehab Ashri , Senior Communications Specialist, Computer, Electrical and Mathematical Sciences and Engineering
	Reining in computational complexity (News)	extreme weather, statistics, News
	Remote sensing of toxic algal blooms (News)	earth science and engineering, environment, marine science, Red Sea, News
	Nov 4, 16:00 - 17:00, Reproducibility in Computer Science - Part 1 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 5, 16:00 - 17:00, Reproducibility in Computer Science - Part 2 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Nov 6, 16:00 - 17:00, Reproducibility in Computer Science - Part 3 (B9 L3 R3223), Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University	artificial intelligence, complex models, Computer science, machine learning, reliability testing, reproducibility issues, scientific enterprise, Workshop
	Research Areas	Research
	Research Areas	Research
	Revealing hidden relationships in data (News)	statistics, weather, News
	Feb 27, 12:00 - 13:00, Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity (B9, L2, R2325), Artavazd Maranjyan, PhD Student, AMCS, KAUST	Graduate Seminar
	Rishikesh Yadav, Ph.D. Student, Statistics	bayesian inference, extreme-value theory, spatial statistics, spatio-temporal statistics
	Roman Zamchii, Ph.D. Student, Electrical and Computer Engineering
	Rue honored by Royal Statistical Society (Spotlight, News)	Spotlight, News
	Rui Meng, M.S. Student, Statistics
	Ruiman Zhong, Ph.D. Student, Statistics	clustering algorithms, Spatial data fusion, spatio-temporal data analysis
	Ruochen Zhu, M.S. Student, Electrical and Computer Engineering
	Rustam Bekishev, M.S. Student, Statistics	Statistics of extremes
	Sabrina Vettori, Ph.D. Student, Statistics	Environmental Statistics, Statistics of extremes, STSDS
	Sagnik Mondal, Ph.D. Student, Statistics	statistics
	Saleh AlJazzar, Visiting Scholar (former), King Abdullah University of Science and Technology	machine learning, Signal processing, Wireless Communications
	Salihah S. Alghamdi, Postdoctoral Research Fellow, Statistics
	Sameh Abdulah, Sameh Abdulah > Appointments, Roles and Affiliations, Hierarchical Computations on Manycore Architectures	exageostat, extreme computing, large-scale computing, machine learning, parallel algorithms, Statistical computing
	Sami Aldalahmeh, Consultant, King Abdullah University of Science and Technology
	Samuel Horváth, Ph.D. Student, Statistics	big data, machine learning, optimization, statistics
	Sara Helal, Visiting Scholar, King Abdullah University of Science and Technology
	Sarbojit Roy, Postdoctoral Research Fellow, Statistics	high dimensional statistics, Time Series
	Saud Alabdulal, M.S. Student, Electrical and Computer Engineering	LiDAR, optical computing
	May 6, 12:00 - 13:00, Scalable Solvers: Universals and Innovations (KAUST), David Keyes, Senior Associate to the President, King Abdullah University of Science and Technology	Graduate Seminar
	Searching for wind for the future (News)	energy security, statistics, News
	Second year Ph.D. student to receive top statistics award (Awards, News, Spotlight)	Environmental Statistics, statistics, Spotlight, Awards, News
	Securing future energy supply (News)	earth science and engineering, renewable energy, seismic, solar energy, News
	Nov 28, 08:30 - 09:30, Semiparametric Regression Models for Between and Within-subject Attributes: Applications to High-Dimensional Data, Asymptotic Efficiency and Beyond (KAUST), Jinyuan Liu, PhD Student, Biostatistics, University of California, USA	Seminar
	Sep 1, 13:00 - 14:00, Sequential Monte Carlo Algorithms for Agent-Based Models of Disease Transmission (KAUST), Jeremy Heng, Applied Mathematics and Computational Sciences (AMCS), ESSEC Business School, Singapore	Seminar
	Shaking up the landslide model (News)	disaster management, Environmental Statistics, statistics, News
	Shamael Al-Shuhail, M.S. (former), Electrical and Computer Engineering	Compressed Sensing Approach, Multi-carrier Systems
	Shaping a 6G future (News)	6G, global connectivity, Wireless Communications, wireless networks, News
	Sharing expert experimental knowledge to expedite design (News)	bioscience, Computer science, synthetic biology, News
	Sharing movement aids learning (News)	computational science, Computer science, learning, News
	Shourya Dutta, Ph.D. Student, Statistics
	Shrey Rakesh Maheshwary, Visiting Student, King Abdullah University of Science and Technology
	Shuhao Jiao, Postdoctoral Research Fellow, Statistics	Biostatistics
	Shunyuan Shang, M.S. Student, Electrical and Computer Engineering
	Signal noise annoys no more (News)	electrical engineering, signals, News
	Signaling success for 5th gen communications (News)	applied mathematics, mobile, News
	Sihan Chen, Ph.D. Student, Statistics	statistics
	Simon Tarboush, Member, King Abdullah University of Science and Technology
	Simple statistics can be good enough (News)	Computer science, environment, statistics, News
	Simulating Red Sea water exchanges (News)	earth science and engineering, oceanography, Red Sea, News
	Mar 5, 12:00 - 13:00, Simulation of Neuronal Signal Processing - 2020-03-05 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar, Neuronal ensembles, neuroscience, Stochastiic Variability
	Jan 30, 12:00 - 13:00, Singular Points of Solutions of Hamilton-Jacobi Equations (B9, L2, R2325), Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Sipan Aslan, Postdoctoral Research Fellow, Statistics	Causal Connectivity, Dynamic Clustering, Time Series Analysis
	Siti Balqis Samdin, Postdoctoral Research Fellow, Statistics	Time Series
	Sixiu Liu, Ph.D. (former), Earth Science and Engineering	deep learning, seismic processing
	Smart healthcare uses stats to spot a stumble (News)	healthcare, statistics, News
	Sep 13, 12:00 - 13:00, Solvers for Coupled Problems in Porous Media Science (B9 L2 R2322), Arne Naegel	applied statistics, Graduate Seminar
	Solving real-world problems (News)	Bayesian computational statistics, ecology, healthcare, statistics, News
	Souhaib Ben Taieb, Postdoctoral Research Fellow, Statistics	big data, machine learning, smart grids, STSDS
	Soumya Das, Ph.D. Student, Statistics	spatio-temporal statistics
	Apr 11, 12:00 - 13:00, Space-time conservation element and solution element (CESE) method for computational fluid dynamics (B9 L2 H1), Hua Shen	computational fluid dynamics, Graduate Seminar, CFD
	Oct 12, 12:00 - 13:00, Space–Time Multiscale Modeling and Numerics of Sorption Kinetics (B9 L2 H2), Clarissa Astuto, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	Graduate Seminar
	Nov 2, 11:45 - 14:30, Spatial and Spatio-temporal Statistical Methods for Environment and Public Health Applications (B9 L4 R4225), Andre Victor Ribeiro Amaral , Ph.D. Student, Statistics	PhD Dissertation Defense
	Sep 11, 16:00 - 17:00, Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment (B3 L5 R5220), Daniela Cisneros, Ph.D. Student, Statistics	Applied Machine Learning, extreme statistics, geospatial statistics, PhD Dissertation Defense
	Oct 26, 12:00 - 13:00, Spatio-temporal Bayesian analysis of excess mortality in 5 European countries in 2020 (B9 L2 H2), Prof. Virgilio Gómez-Rubio, Department of Mathematics, Universidad de Castilla-La Mancha, Spain	Graduate Seminar
	Nov 5, 17:15 - 18:15, Spatio-Temporal Data Analysis by Transformed Gaussian Processes (B2 L5 R5220), Yuan Yan, PhD Student of Prof. Marc Genton, KAUST	PhD Dissertation Defense, spatio-temporal data analysis, statistics
	Nov 2, 16:00 - 18:00, Spatio-Temporal Prediction and Stochastic Simulation for Large-Scale Nonstationary Processes (KAUST), Yuxiao Li, Ph.D., Statistics	PhD Dissertation Defense
	Oct 26, 15:00 - 17:00, Spatio-Temporal Statistical Modeling with Application to Wind Energy Assessment in Saudi Arabia (KAUST), Wanfang Chen, Ph.D., Statistics	PhD Dissertation Defense
	Apr 25, 17:45 - 19:00, Spatio-Temporal Statistical Models Using Integro-Differential Equations (B1 L4 R4102), Prof. Bruno Sanso, Department of Statistics, University of California	Lecture
	Nov 26, 15:00 - 16:30, Spatio-Temporal Statistics in Geo-Environmental Data Science (B9, L2, R2322), Ying Sun, Associate Professor, Statistics	Public Colloquium, spatio-temporal statistics
	SRSI student success story at Ibdaa 2022 (Awards, News)	computational methods, data analysis, environmental applications, Awards, News
	Star light, star bright…as explained by math (News)	big data, extreme statistics, statistics, News
	Nov 18, 16:00 - 17:00, Start your Research Journey at KAUST - Master and Ph.D. degrees in Applied Mathematics, Computer Science, Electrical Engineering and Statistics (KAUST), Aigars Ekers, Assistant Dean, Computer, Electrical and Mathematical Sciences and Engineering	Event
	Jun 1, 16:00 - 18:00, Stationary and Cyclostationary Processes for Time Series and Spatio-Temporal Data (KAUST), Soumya Das, Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 28, 12:00 - 13:00, Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model (B9 H2 R2325), Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics	forecasting, Graduate Seminar, nonlinearity, solar energy, solar irradiance analysis, statistical analysis, TAR model
	May 2, 11:00 - 12:00, Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data (B1 L4 R4102), Anass B. El-Yaagoubi, Ph.D. (former), Statistics	PhD Dissertation Defense
	May 2, 12:00 - 13:00, Statistical Deep-Learning for Spatiotemporal Extremes (B9 L2 H2 H2), Raphaël Huser, Associate Professor, Statistics	Graduate Seminar
	Dec 7, 12:00 - 13:00, Statistical Learning: Causal-oriented and Robust (B9 L2 H2), Professor Peter Bühlmann, Statistics and Mathematics, ETH Zürich	Lecture
	Statistical Methodology	Research
	Oct 14, 12:00 - 13:00, Statistical methods to evaluate the effectiveness of cancer treatments in clinical trials (KAUST), Denis Rustand, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Mar 23, 14:00 - 15:30, Statistical Models and Methods Based on Stochastic Partial Differential Equations (B9 L2 R2322, Zoom Meeting ID 93209452060), David Bolin, Associate Professor, Statistics	Metric graphs, non-Gaussian random fields, Public Colloquium, SPDEs, statistical analysis
	Nov 14, 12:00 - 13:00, Statistical models based on stochastic partial differential equations (B9 L2 H1 R2322), Prof. David Bolin, Statistics, KAUST	Graduate Seminar, SPDEs, statistics
	Feb 20, 12:00 - 13:00, Statistical models for long-range dependent climate data (B9 L2 R2322), Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway	climate data, Graduate Seminar, statistical models
	Feb 7, 16:00 - 17:00, Statistical models for studying biodiversity: challenges and contributions (KAUST), Antik Chakraborty, Postdoc, Department of Statistical Science, Duke University	biodiversity, Seminar
	Sep 26, 12:00 - 13:00, Statistics of Extremes (B9 L2 H1 R2322), Raphaël Huser, Associate Professor, Statistics	extreme environmental events, Graduate Seminar, probabilities, risks, Spatial extremes, univariate extremes
	Statistics plot pollution to inform policy (News)	climate science, Environmental Statistics, pollution, News
	Statistics Program	Front Page
	Stefano Castruccio, Postdoctoral Research Fellow, Statistics	Environmental Statistics, Space- time Models, Statistical Methods for Imaging Data
	Stimulating deeper insights into brain function (News)	neuroscience, statistics, News
	Jun 4, 10:00 - 11:00, Stochastic environmental modeling in a time of convergence: physics meets artificial intelligence (B1 L4 R4102), Prof. Stefano Castruccio, Associate professor, University of Notre Dame, USA	Seminar