All Content

Content Type

First Letter

(3) | 2 (7) | 3 (1) | 5 (2) | 6 (1) | A (106) | B (25) | C (52) | D (44) | E (45) | F (33) | G (27) | H (32) | I (15) | J (22) | K (50) | L (21) | M (80) | N (16) | O (18) | P (53) | Q (6) | R (37) | S (87) | T (42) | U (7) | V (5) | W (18) | X (11) | Y (19) | Z (15)

	Finding true protein hotspots in cancer research (News)	cancer, human health, proteins, statistics, News
	Finer forecasting to improve public health planning (News Clip, News)	News Clip, News
	Oct 11, 12:00 - 13:00, Finite element approximation of parameter dependent eigenvalue problems (B9 L2 R2322), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	approximation, dependent eigenvalue, element, Finite, Graduate Seminar, of parameter, problems
	Flattening the sentimental curve (News)	artificial intelligence, machine learning, News
	May 31, 16:00 - 18:00, Flexible Covariance Models for Spatio-Temporal and Multivariate Spatial Random Fields (KAUST), Ghulam A. Qadir, Ph.D. Student, Statistics	PhD Dissertation Defense
	Oct 25, 15:00 - 18:00, Flexible Extremal Dependence Models for Multivariate and Spatial Extremes (B5 L5 R5220), Zhongwei Zhang, Ph.D. Student, Statistics	PhD Dissertation Defense, spatial statistics, Statistics of extremes
	Mar 28, 16:00 - 19:00, Flexible Multivariate, Spatial, and Causal Models for Extremes (B4 L5 R5220), Yan Gong, Ph.D. Student, Statistics	PhD Dissertation Defense, risk assessment, statistical analysis
	Nov 18, 12:00 - 13:00, Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks (KAUST), Huang Huang, Ph.D., Statistics	Graduate Seminar
	Apr 25, 16:00 - 17:00, Forecasting Multiple Time Series with One-Sided Dynamic Principal Components (B1 L4 R4102), Prof. Daniel Peña Sánchez de Rivera, Department of Statistics, Universidad Carlos III de Madrid	big data, Seminar, Time Series
	Forging a career through interdisciplinarity (News)	News
	Feb 18, 12:00 - 13:00, Forward-prediction and Backward-design by Machine Learning (KAUST), Prof. Xiangliang Zhang	Graduate Seminar
	Fouzi Harrou , Research Scientist, Statistics	Environmental Statistics, machine learning, spatio-temporal statistics, statistics
	Nov 2, 12:00 - 13:00, Free Boundary Problems in Science and Engineering (B9 L2 H2), Rafayel Teymurazyan, Research Scientist, Applied Mathematics and Computational Sciences	Graduate Seminar
	Sep 7, 12:00 - 13:00, From Euler flows with friction to gradient flows and applications (B9 L2 H2), Athanasios Tzavaras, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Sep 4, 12:00 - 13:00, From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs (B9 L2 R2325), Peter Richtarik, Professor, Computer Science	AI, algorithms, Graduate Seminar, LLM, machine learning, optimization
	From the warm shores of the Red Sea to Antarctica’s icebergs (News)	News
	Mar 12, 12:00 - 13:00, Functional data depth and its application in the visualization of spatio-temporal covariance structures (KAUST)	functional data analysis, Graduate Seminar, spatio-temporal statistics
	Nov 15, 12:00 - 13:00, Functional Differential Equations in Models of Collective Behavior - Graduate Seminar (B9 L2 R2322), Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences	Differential Equation, Functional, Graduate Seminar
	Feb 15, 12:00 - 13:00, Fuzzy clustering of circular time series based on a new distance with applications to wind data (B9 L2 H2 H2), Ángel López Oriona, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Gaurav Agarwal, Ph.D., Statistics	Environmental Statistics, spatial statistics
	Gaurav Agarwal wins IISA best student paper award (News, Spotlight)	IISA Award, Spotlight, News
	Apr 21, 16:30 - 17:30, Gaussian Graphical Regression with High-Dimensional Responses and Covariates (B2 B3 A0215), Yi Li, Professor, Biostatistics, University of Michigan	Seminar
	Sep 11, 12:00 - 13:00, Gaussian Random Fields on Metric Graphs (B9 B2 L2325), David Bolin, Professor, Statistics	Gaussian random fields, Graduate Seminar, Metric graphs, Statistical Modeling
	Nov 29, 16:00 - 17:00, Generic Regularity in Obstacle Problems (KAUST), Professor Alessio Figalli, ETH Zurich	Lecture
	Apr 9, 12:00 - 13:00, Geometry and Computational Design (KAUST),	computational design, Geometry, Graduate Seminar
	Apr 28, 12:00 - 13:00, Geometry for computational design and fabrication (B9 L2 H2),	Graduate Seminar
	Georgios Grekas, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences	biomechanics, numerical analysis, scientific computing, solid mechanics
	Dec 10, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance - Graduate Seminar (KAUST)	Graduate Seminar
	Feb 5, 12:00 - 13:00, Geospatial Data Science for Public Health Surveillance - Seminar (B9 L2 H2), Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK	Geospatial Data, Public Health, Seminar
	Getting a handle on extremes (News)	applied mathematics, statistics, News
	Getting a visual on complex data (News)	applied mathematics, data, News
	Getting the inside track on street design (News)	big data, statistics, News
	Getting the jump on industrial failures (News)	applied mathematics, industry, statistics, News
	Getting the tail straight (News)	big data, Environmental Statistics, modeling, statistics, News
	Getting to the bottom of deadly weather (News)	climate change, Environmental Statistics, human health, statistics, News
	Ghulam A. Qadir, Ph.D. Student, Statistics	Environmental Statistics
	Giving power to demand-driven electricity (News)	applied mathematics, computational science, Computer science, computing, News
	Gleb Ludnikov, Ph.D. Student, Electrical and Computer Engineering	Free-space optical communications, optical imaging, remote sensing, Terahertz communications
	Going likelihood-free with neural networks (News)	News
	Going to extremes to predict natural disasters (News)	simulation, statistics, News
	Gold-Medal Sensors: KAUST Racing Toward High-Tech Athletic Excellence For KSA (News Clip, News)	News Clip, News
	Sep 14, 12:00 - 13:00, Goodness-of-fit tests for multivariate skewed distributions based on the characteristic function (B9 L2 H2), Maicon J. Karling, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Gowthambabu Vellingiri, Visiting Ph.D. Student, Photonics Laboratory
	Guillermo C. Granados Garcia, Ph.D. Student, Statistics	Time Series
	Gulzhan Tumenbayeva, Ph.D. Student, Statistics	Bayesian computational statistics, statistics
	Gyan Deep Verma, Postdoctoral Research Fellow, Electrical and Computer Engineering	Adaptive Optics, Chaos Shift Keying, FSO/RF Systems, intelligent reflecting surfaces
	Haakon Bakka, Postdoctoral Research Fellow, Statistics	Bayesian computational statistics, statistics
	Haavard Rue, Program Chair, Statistics	Bayesian computational statistics, bayesian methodology, latent Gaussian models, spatial statistics
	Habti Abeida, Visiting Scholar, King Abdullah University of Science and Technology
	Haibo Wu, M.S. Student, Statistics
	Hamad Alsayegh, Visiting Scholar, King Abdullah University of Science and Technology
	Hamed Alkhathami, Visiting Scholar (former), King Abdullah University of Science and Technology
	Hammam Abdulhakim Hurmuz, Visiting Student, King Abdullah University of Science and Technology
	Hammam Khalid, Visiting Student (former), King Abdullah University of Science and Technology
	Hanan Alahmadi, Ph.D. Student, Statistics	Bayesian computational statistics, geospatial statistics, health surveillance, spatio-temporal disease data, statistics
	Hani A. Al Majed, M.S. Student	AI4Science, Computer Vision, machine learning
	Hassan Hadi, Research Specialist, Computer, Electrical and Mathematical Sciences and Engineering	Cyber Security, cyber threats, IDPS, SOC, UAV Security
	Hayssam Dahrouj, Research Scientist (former), King Abdullah University of Science and Technology	6g wireless systems, cloud- and fog-radio access networks, Cooperative networks, cross-layer optimization, machine learning, Optical communications
	Health and Environmental Applications	Research
	Heatwave model shows it is hotter in more places, more often (News)	climate change, extreme weather, statistics, News
	Helping computers to see who we really are (News)	algorithm, machine learning algorithm, News
	Hernando Ombao, Professor, Statistics	Electroencephalograms, Functional Magnetic Resonance Imaging, Longitudinal Models, Mixed Effects Models, Spectral Analysis, Time Series, Wavelets
	Nov 25, 12:00 - 13:00, Hidden Backdoors in Deep Learning Systems (B9 L2 H1 R2322), Prof. Ben Zhao, Computer Science, University of Chicago, USA	Lecture
	Feb 16, 11:00 - 12:00, High-dimensional inference for max-stable processes (KAUST), Dr. Boris Beranger, Lecturer in Statistics, University of New South Wales, Sydney	extreme environmental events, Max-stable processes, Seminar
	Mar 31, 12:00 - 13:00, High-dimensional Q-learning for Dynamic Treatment Regimes (B3 L5 R5220), Prof. Rui Song, Department of Statistics, North Carolina State University	data analysis, HQ-learning, Seminar, simulation, statistical inference
	Sep 2, 12:00 - 13:00, High-resolution Modeling and Estimation of Extreme Red Sea Surface Temperature Hotspots (KAUST), Raphaël Huser, Associate Professor, Statistics	Graduate Seminar
	Hikmatullo Ismatov, M.S. Student, Applied Mathematics and Computational Sciences
	History
	Hongyan Yu, Postdoctoral Research Fellow, Electrical and Computer Engineering	heterogeneous integrated optical chip, high-speed electro-optic modulator, optical computing
	Honing in on hotspots in spatial data (News)	Environmental Statistics, statistics, News
	Houcem Ben Salem, Intern (former), Information Science Lab	mathematics, modeling, Programming language
	Houcine Chougrani, Research Scientist, Electrical and Computer Engineering	Embedded systems., Non-Terrestrial Networks
	How AI helps improve COVID-19 testing (News)	artificial intelligence, COVID-19, News
	Nov 16, 12:00 - 13:00, How do periodic structures affect nonlinear waves? (B9 L2 H2), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	How extreme weather exacerbates air pollution (News)	air pollution, extreme weather, statistics, xstat research highlights, News
	Oct 5, 12:00 - 13:00, How many sample points do we need for least squares? (B9 L2 H2), Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences	Graduate Seminar
	Huang Huang, Ph.D., Statistics	Environmental Statistics
	Hussein Al-Shatri, Research Scientist, Electrical and Computer Engineering	beamforming, haps, interference management, nr-u, prototyping, tochnologies coexistence
	Ibrahim Hoteit, Professor, Earth Science and Engineering	Bayesian Estimation, Geophysical Fluid Modeling, Red Sea, uncertainty quantification
	Ibrahim Talat Mujallid, Visiting Student, Information Science Lab
	Ibtihal Alharbi, M.S. Student, Applied Physics	optical communication, quantum communication
	Improving connections for spatial analysis (News)	applied mathematics, computing, statistics, News
	Dec 5, 12:00 - 13:00, Improving Optimization of Likelihood-based Generative Models with One Line of Code (B9, L2, R2325), Maurizio Filippone, Associate Professor, Statistics	Graduate Seminar
	Oct 20, 15:00 - 16:00, Inference for Longitudinal Data After Adaptive Sampling (B9 L2 H2), Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University	Reinforcement Learning, Seminar
	Apr 23, 16:00 - 17:00, Inference for Spatial Trends (B1 L4 R4102), Professor Ngai Hang Chan, Professor of Statistics, Chinese University of Hong Kong	Seminar
	International Agenda for KAUST's SRI-UQ (News)	numerical methods, stochastic differential equations, uncertainty quantification, News
	Internet of underground things to reveal buried vistas (News)	communications, electrical engineering, fuel-resources, News
	Nov 17, 10:00 - 11:00, Interval Prediction for Spatial Data Using Deep Learning Models (B1 L4 R4102), Ghulam Qadir, Posdoctoral fellow, Computational Statistics group at Heidelberg Institute for Theoretical Studies, Germany	Seminar
	May 9, 12:00 - 13:00, Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations (B9 L2 H2 H2), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Introducing "THE FANTASTATISTICS 4" (News)	News
	Aug 30, 12:00 - 13:00, Introduction to AMCS / STAT Graduate Seminar 398 (B9 L2 R2322), Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Iris Ivy Gauran, Postdoctoral Research Fellow, Biostatistics Group
	Israel Martínez-Hernández, Postdoctoral Research Fellow, Statistics	spatio-temporal statistics, statistics
	Jaehong Jeong, Postdoctoral Research Fellow, Statistics	Climate change impacts on hydroclimatic events, Global spatial and spatio-temporal statistics
	Jafar Binghanem, Intern (former), King Abdullah University of Science and Technology
	Jalal Saleem, Visiting Student	cybersecurity
	Janet van Niekerk, Research Scientist, Statistics	Bayesian computational statistics, Biostatistics, Survival analysis
	Jesper Tegner, Professor, Bioscience	algorithmic information theory, artificial intelligence, brain-inspired computation, Dynamical Systems, genomics, living systems, machine intelligence, machine learning, single cell biology, spatial transcriptomics, systems medicine, Systems neuroscience
	Jesus Diaz Martinez, M.S. Student, Statistics
	Jiahao Hu, M.S. Student, King Abdullah University of Science and Technology