Event Content

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First Letter

2 (2) | 5 (1) | A (17) | B (10) | C (17) | D (18) | E (24) | F (13) | G (7) | H (6) | I (6) | J (4) | K (1) | L (6) | M (17) | N (3) | O (11) | P (11) | Q (4) | R (8) | S (28) | T (16) | U (1) | V (1) | W (7)

	Nov 12, 08:30 - Nov 15, 17:00, 2018 Workshop on Statistics and Data Science (Auditorium 0215 between Buildings 4 & 5)	biological processes, data science, high dimensional statistics, modeling, physical processes, Workshop
	Nov 18, 00:00 - Nov 20, 23:45, 2019 Statistics and Data Science Workshop (B2 B3 A0215)	Workshop
	Jun 24, 16:30 - 17:30, 5G IoT Networks: from Massive access to URLLC (B1 L3 R3119), Prof. Yonghui Li, Director of Wireless Engineering Laboratory, The University of Sydney	IoT, M2M Communication, the university of sydney, Seminar
	Sep 10, 12:00 - 13:00, A cheap rotated characteristic decomposition technique for high-order reconstructions in multi-dimensions with application to instabilities in direct initiation of gaseous detonations in free space (KAUST), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Apr 4, 12:00 - 13:00, A Correlated Three-Dimensional Integral Fractional Ornstein-Uhlenbeck Process Model for Animal Movement (B9 L2 H2 H2), Jose Hermenegildo Ramirez Gonzalez, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Feb 10, 15:30 - 16:30, A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data (B1 L4 R4102), Dorit Hammerling, National Center for Atmospheric Research (NCAR)	spatial statistics, Seminar
	Oct 3, 12:00 - 13:00, A new class of random field models for data on networks (B9 L2 R2322 H1), David Bolin, Associate Professor, Statistics	applied statistics, Gaussian processes, machine learning, Graduate Seminar
	Feb 3, 12:00 - 13:00, A Non-stationary Autologistic Model for Space-time Data (KAUST), Yiping Hong, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Jan 28, 12:00 - 13:00, A personal and historical view of computational mathematics (KAUST), Tony Chan, President, King Abdullah University of Science and Technology	Graduate Seminar
	Apr 8, 12:00 - 13:00, A Rapid, Accurate and Machine-agnostic Segmentation and Quantification Method for CT-based COVID-19 Diagnosis (KAUST), Xin Gao, Program Chair, Computer Science	COVID-19, Graduate Seminar
	Nov 29, 12:00 - 13:00, A unifying partially-interpretable framework for neural network-based extreme quantile regression (B9 L2 R2322), Raphaël Huser, Associate Professor, Statistics	Artificial Neural Network, quantile regression, Graduate Seminar
	Jul 2, 10:00 - 11:00, Abstract Writing (B3 L5 R5209), Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University	Scientific Writing, Seminar
	Mar 7, 12:00 - 13:00, Acoustics with a spin: A new paradigm for acoustic metamaterials, scattering, and propagation of sound (B9 L2 H2 H2), Mohamed D. Farhat, Research Scientist, Waves in Complex Media	Graduate Seminar
	Apr 26, 15:00 - 18:00, Almost everything you always wanted to know about NONLINEAR STATE SPACE MODELS (but were afraid to ask) (B1 L4 R4102), Prof, David Stoffer, University of Pittsburgh, Pennsylvania, USA	linear guassian model, Numerical Optimization, university of pittsburgh, Tutorial
	Apr 23, 12:00 - 13:00, An Alternative View on AI: Collaborative Learning, Statistical Incentives, and Social Welfare (Auditorium between B2 and 3), Michael Jordan, Professor Emeritus, University of California, Berkeley	Lecture
	Nov 25, 12:00 - 13:00, An efficient high-order reconstructions multidimensional scheme with application to instabilities in direct initiation of gaseous detonations in free space (KAUST), Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 9, 15:00 - 16:00, Analysis of the compressible two-phase flow (KAUST), Dr. Ewelina Zatorska, Senior Lecturer in the Applied and Numerical Analysis, Imperial College London	Seminar
	Apr 25, 12:00 - 13:00, Applications of random matrix theory for wireless communication and big data processing (B9 L2 H1), Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering	Graduate Seminar
	Jun 4, 15:00 - 16:00, Approximate Bayesian inference based on dense matrices and new features using INLA (B4 L5 R5220)	Bayesian computational statistics, PhD Dissertation Defense
	Nov 27, 15:30 - 16:30, Asymptotically Exact Variational Bayes for High-Dimensional Probit Models (B1 L4 R4102), Prof. Daniele Durante, Department of Decision Sciences, Bocconi University, Italy	Bayesian approach to inference, decision sciences, Seminar
	Dec 9, 12:00 - 13:00, Backward Error Analysis for Nonlinear Differential Equations (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Jan 27, 12:00 - 13:00, Backward induction: from theory to empirics (KAUST), Konrad Grabiszewski, Instructional Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Mar 6, 12:00 - 13:00, Bayesian Deep Learning (B9 L3 R3128), Maurizio Filippone, Associate Professor, EURECOM, France	Bayesian computational statistics, Deep learning, Graduate Seminar
	Oct 14, 16:30 - 17:45, Bayesian image analysis in Fourier space (BIFS) models and some relationships with Markov random fields (B4 B5 A0215), Prof. John Kornak, Biostatistics, University of California, San Francisco	bayesian analysis, Seminar
	Apr 5, 15:00 - 17:00, Bayesian Modeling of Sub-Asymptotic Spatial Extremes (B5 L5 R5220), Rishikesh Yadav, Ph.D. Student, Statistics	bayesian inference, extreme-value theory, spatial statistics, spatio-temporal statistics, PhD Dissertation Defense
	Jan 5, 17:00 - 19:00, Bayesian Non-parametric Models for Time Series Decomposition (B1 R4214), Guillermo C. Granados Garcia, Ph.D. Student, Statistics	spectral density function, PhD Dissertation Defense
	Nov 24, 15:00 - 16:00, Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling (B1 L2), Matthew Pratola, Assistant Professor of Statistics, The Ohio State University	Bayesian Statistics, nonparametric statistics, Seminar
	Jun 27, 18:00 - 20:00, Better Methods and Theory for Federated Learning: Compression, Client Selection, and Heterogeneity (B5 L5 R5209), Samuel Horváth, Ph.D. Student, Statistics	Federated learning, Optimization for Machine Learning, PhD Dissertation Defense
	Nov 24, 09:00 - 10:00, BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data (KAUST), Meini Tang, M.S. Student, Statistics	Thesis Defense
	Apr 14, 12:00 - 13:00, Biomedical research: a world of statistical challenges (B9 L2 H2), Prof. David Gomez-Cabrero, Biological, Environmental Science and Eng, KAUST	Graduate Seminar
	Apr 16, 16:00 - 16:30, Can neural ODEs forecast weather? (B1 L4 R 4102), Dr. Markus Heinonen, Academy Research Fellow, Aalto Univeristy, Finland	Seminar
	Apr 12, 17:00 - 18:00, Causal aggregation: estimation and inference of causal effects by aggregating information across data sets (KAUST), Prof. Dominik Rothenhaeusler, Statistics, Stanford University	Seminar
	Feb 16, 16:00 - 17:00, Causal reasoning in settings with competing events and truncation by death (B9 L2 R2322), Prof. Mats Julius Stensrud, Department of Mathematics, EPFL	Seminar
	Apr 2, 12:00 - 13:00, Classification of Functional Data by Detecting the Discrepancy of Second Moment Structure of Scaled functions (KAUST), Shuhao Jiao, Postdoctoral Research Fellow, Statistics	Functional data, Graduate Seminar
	Mar 28, 12:00 - 13:00, Classification of time series in high dimensions (B9 L2 H2 H2), Sarbojit Roy, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Mar 10, 15:00 - 16:00, Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction (B1), Mehdi Moodaaliat, Assistant Professor, Marquette University	statistics, Seminar
	Feb 24, 12:00 - 13:00, Combined analysis of spatially misaligned data using Gaussian fields and the stochastic partial differential equation approach (B9 L2 H2)	Graduate Seminar
	Nov 11, 12:00 - 13:00, Compatibility conditions for finite element approximations (KAUST), Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering	Graduate Seminar
	Apr 6, 16:00 - 18:00, Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes (KAUST), Jian Cao, Ph.D., Statistics	PhD Dissertation Defense
	Mar 19, 08:00 - Mar 21, 17:00, Computational and Statistical Interface to Big Data (B9 L2 H2), Xin Gao, Program Chair, Computer Science	Conference
	Jun 13, 09:00 - 10:00, Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking (B1 L4 R4102)	computational statistics, Environmental Statistics, PhD Dissertation Defense
	Feb 12, 16:00 - 17:30, Conditional Kernel Density Estimation For Dependent Data, Mean Shift Algorithm and Predictive Regions in Human Health (B1 L4 R4102), Prof. Mohamed El Machkouri, Associate professor, Applied Mathematics, University of Rouen Normandy	nonparametric estimation, Seminar
	Apr 26, 14:00 - 15:30, Conditionally Gaussian dynamic models, non-linear models and multi-process models for univariate time series - Lecture 2 (B1 L4 R3119), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Oct 1, 12:00 - 13:00, Consensus formation models with delay (KAUST), Jan Haskovec, AMCS, KAUST	Models Formation, Graduate Seminar
	Feb 27, 12:00 - 13:00, Controlling acoustic wave propagation via rotational motion (B9 L2 H2 H2), Ying Wu, Professor, Applied Mathematics and Computational Sciences	acoustic waves, Graduate Seminar
	Mar 7, 15:00 - 17:00, Coupled Sampling Methods for Filtering (KAUST), Fangyuan Yu, Ph.D. Student, Statistics	computational statistics, Markov models, Monte carlo methods, PhD Dissertation Defense
	May 28, 15:00 - 16:00, Criticism and robustification of latent Gaussian models (B1 L4 R4102), Rafael Medeiros Cabral, Ph.D. Student, Statistics	latent Gaussian models, PhD Dissertation Defense
	Mar 13, 12:00 - 13:00, Decision Trees for Fault Diagnosis in Circuits and Switching Networks - 2023-03-13 (B9 L3 R3128), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Sep 28, 12:00 - 13:00, Decision Trees for Fault Diagnosis in Circuits and Switching Networks - 2023-09-28 (B9 L2 H2), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Dec 7, 15:30 - 16:30, Deconfounding (B9 L2 H2), Professor Peter Bühlmann, Statistics and Mathematics, ETH Zürich	Seminar
	Sep 27, 12:00 - 13:00, Deep Learning and Scientific Computing (B9 L2 R2322), Jinchao Xu, Professor, Applied Mathematics and Computational Sciences	Deep learning, scientific computing, Graduate Seminar
	May 29, 09:00 - 11:30, Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes (B4 L5 R5220), Pratik Nag , Ph.D. Student, Statistics	PhD Dissertation Defense
	Nov 12, 12:00 - 13:00, Deepnet Spectra and the Two Cultures of Data Science (B9 L2 H2 R2325), Prof. David L. Donoho, Department of Statistics, Stanford University	Lecture
	Feb 8, 12:00 - 13:10, Dependence and Causality in Functional Brain Networks (B9 L2 H2 H2), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Apr 27, 15:00 - 16:30, Design and Analysis of Prevalence Surveys for Neglected Tropical Diseases (KAUST), Prof. Peter Diggle, Statistics in the faculty of Health and Medicine, Lancaster University	Design and analysis of surveys, Lecture
	May 9, 12:00 - 13:00, Detecting Cellwise Outliers in Your Data (B9 L2 H2), Peter Rousseeuw, Professor Emeritus, Statistics and Data Science, KU Leuven, Belgium	Lecture
	Sep 16, 12:00 - 13:00, Developing Aramco’s Next Generation Operational Systems for the Red Sea and the Arabian Gulf (KAUST), Ibrahim Hoteit, Professor, Earth Science and Engineering	Graduate Seminar
	May 29, 15:30 - 16:30, Differentially private testing of symmetry equivalence hypotheses based on the characteristic function (B1 L4 R4102), Prof. Simos G. Meintanis, University of Athens	Differential privacy, Neighborhood of model validation, Symmetry testing, Seminar
	Nov 30, 12:00 - 13:00, Discretization and Optimization in Applied Geometry (B9 L2 H2),	Graduate Seminar
	Sep 30, 12:00 - 13:00, Discriminant analysis: Fundamental limits and Optimal designs (KAUST), Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering	Graduate Seminar
	Nov 9, 15:30 - 16:00, Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk (B1 L4 R4102), Xiaohui Chang, Assistant Professor, College of Business at Oregon State University	statistics, Seminar
	Oct 18, 12:00 - 13:00, Distributed multi-GPU Algorithms for Hierarchical Matrices (B9 L2 R2322), George Turkiyyah, Research Professor, Applied Mathematics and Computational Sciences	GPU Algorithms, hierarchical matrices, Graduate Seminar
	Apr 22, 12:00 - 13:00, Distributed second order methods with fast rates and compressed communication (KAUST), Peter Richtarik, Professor, Computer Science	Graduate Seminar
	Jan 30, 12:00 - 13:00, Driving Innovation by Simulation (B9 L3 R3128), Dr. Emad Dlala, Vice President Powertrain, Lucid Motors Co.	aerodynamic simulations, Driving, innovation, Graduate Seminar
	Apr 25, 16:00 - 17:30, Dynamic linear models: Theory, computation and case studies - Lecture 1 (B1 L4 R4102), Prof. Raquel Prado, Department of Statistics, University of California	Lecture
	Nov 10, 12:00 - 13:00, EE 398 Graduate Seminar (B9 L2 H1 R2322), Tareq Al-Naffouri, Professor, Electrical and Computer Engineering	Graduate Seminar
	Feb 4, 12:00 - 13:00, Effective Literature Search (KAUST), Nevena Tomic, Library Subject Specialist, PSE, KAUST	Graduate Seminar
	Oct 22, 12:00 - 13:00, Efficiency Assessment of Approximated Spatial Predictions for Large Datasets (KAUST), Yiping Hong, Postdoctoral Research Fellow, Statistics	applied statistics, mathematics, Social Network Analysis, Graduate Seminar
	Apr 23, 12:00 - 13:00, Efficient and Physics-Preserving Discretization Schemes for Multiphase Flow Problems (KAUST), Shuyu Sun, Professor, Earth Science and Engineering	Graduate Seminar
	Nov 23, 12:00 - 13:00, Efficient Inference for Joint Models of Multivariate Longitudinal and Survival Data Using INLAjoint (B9 L2 H2), Denis Rustand, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Aug 31, 12:00 - 13:00, Efficient Intensity Estimation Using Adaptive Bandwidths on Linear Networks: A Study and Application in Traffic Accident Analysis (B9 L2 H2), Jonatan A. González, Postdoctoral Research Fellow, Statistics	Graduate Seminar
	Sep 9, 12:00 - 13:00, Empirical Risk Minimization in the Non-interactive LDP Model (KAUST), Di Wang, Assistant Professor, Computer Science	Graduate Seminar
	Oct 21, 12:00 - 13:00, Enabling Accurate and Efficient Simulation in Visual Computing - Graduate Seminar - AMCS - STAT (KAUST), Dominik L. Michels, Associate Professor, Computer Science	Graduate Seminar
	Apr 21, 12:00 - 13:00, Enhancing mixing in binary fluids (B9 L2 H2), Prof. Peter J. Schmid, Professor, Mechanical Engineering, KAUST	Graduate Seminar
	Oct 15, 12:00 - 13:00, Epidemiological modeling and optimal control (KAUST), David Ketcheson, Professor, Applied Mathematics and Computational Sciences	optimal control, optimal control theory, Graduate Seminar
	Sep 17, 12:00 - 13:00, Estimating High-Resolution Red Sea Surface Temperature Hotspots, Using a Low-Rank Semiparametric Spatial Model (KAUST), Arnab Hazra, Postdoctoral Research Fellow, Statistics	High Resolution X-ray Diffraction, spatial modulation, Graduate Seminar
	May 2, 12:00 - 13:00, Estimating the expected information gain in Bayesian optimal experimental design (B9 L2 H1)	DLMC, DLMCIS, optimization, Graduate Seminar
	Nov 21, 12:00 - 13:00, Estimation Problems for Partial and Fractional Differential Equations - Autumn 2019 (B9 L2 H1 R2322)	algorithms, Estimation problems, Fractional differential equations, Partial Differential Equations, real applications, Simulations, Graduate Seminar
	Apr 18, 12:00 - 13:00, Estimation Problems for Partial and Fractional Differential Equations - Spring 2019 (B9 L2 H1)	Fractional differential equation, Partial Differential Equations, Graduate Seminar
	Oct 8, 12:00 - 13:00, ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems (KAUST), Sameh Abdulah, Research Scientist, Hierarchical Computations on Manycore Architectures	Adaptive modeling, Graduate Seminar
	Feb 2, 16:30 - 17:30, Exoplanet Imaging Coronagraphic Mask Development and Testing: A North American Perspective (KAUST), Benjamin L. Gerard, Postdoctoral Scholar, University of California, UC Observatories	Seminar
	Nov 14, 09:00 - Nov 15, 17:00, Experimental Design Statistical Workshop (B1 L4 R4102), Hernando Ombao, Professor, Statistics	Workshop
	Nov 5, 12:00 - 13:00, Exploring Non-Linear Interactions in Multivariate Time Series (KAUST), Hernando Ombao, Professor, Statistics	Bayesian computational statistics, Linear, Multivariate extremes, Graduate Seminar
	Feb 10, 12:00 - 13:00, Exploring Spectral Dependence in Multivariate Time Series (KAUST), Hernando Ombao, Professor, Statistics	Graduate Seminar
	Mar 3, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-03-03 (B9 L2 H2), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	Graduate Seminar
	Oct 4, 12:00 - 13:00, Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining - 2022-10-04 (B9 L2 R2322), Mikhail Moshkov, Professor, Applied Mathematics and Computational Sciences	combinatorial optimization, data mining, Dynamic programming, Graduate Seminar
	Feb 20, 16:00 - 17:30, Extreme Statistics: Theory and Methods for Modeling Rare High-Impact Events in Complex Settings (B4 B5 A0215), Raphaël Huser, Associate Professor, Statistics	Public Colloquium
	Feb 28, 09:00 - 16:00, Extremes of stationary time-series - 2023-02-09 (B1 L4 R4102), Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh	Course
	Feb 27, 09:00 - 16:00, Extremes of stationary time-series - 2023-02-27 (B1 L4 R4102), Prof. Ioannis Papastathopoulos, Lecturer in Statistics, University of Edinburgh	Course
	Nov 12, 15:30 - 16:30, Family of Mean-Mixtures of Multivariate Normal Distributions (B1 L4 R4102), Prof. Narayanaswamy Balakrishnan, Department of Mathematics and Statistics, McMaster University	Seminar
	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, of parameter, problems, Graduate Seminar
	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	spatial statistics, Statistics of extremes, PhD Dissertation Defense
	Mar 28, 16:00 - 19:00, Flexible Multivariate, Spatial, and Causal Models for Extremes (B4 L5 R5220), Yan Gong, Ph.D. Student, Statistics	risk assessment, statistical analysis, PhD Dissertation Defense
	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, Time Series, Seminar
	Feb 18, 12:00 - 13:00, Forward-prediction and Backward-design by Machine Learning (KAUST), Prof. Xiangliang Zhang	Graduate Seminar
	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
	Mar 12, 12:00 - 13:00, Functional data depth and its application in the visualization of spatio-temporal covariance structures (KAUST)	functional data analysis, spatio-temporal statistics, Graduate Seminar