Events

Oct 4 - Oct 10, 2020

ExaGeoStat: Moving Towards Large-Scale Geostatistical Modeling on Manycore Systems

Sameh Abdulah, Sameh Abdulah > Appointments, Roles and Affiliations, Hierarchical Computations on Manycore Architectures

Oct 8, 12:00 - 13:00

KAUST

Adaptive modeling

Sep 27 - Oct 3, 2020

Consensus formation models with delay

Jan Haskovec, AMCS, KAUST

Oct 1, 12:00 - 13:00

KAUST

Models Formation

Sep 13 - Sep 19, 2020

Estimating High-Resolution Red Sea Surface Temperature Hotspots, Using a Low-Rank Semiparametric Spatial Model

Arnab Hazra, Postdoctoral Research Fellow, Statistics

Sep 17, 12:00 - 13:00

KAUST

High Resolution X-ray Diffraction spatial modulation

Sep 6 - Sep 12, 2020

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

Matteo Parsani, Associate Professor, Applied Mathematics and Computational Sciences

Sep 10, 12:00 - 13:00

KAUST

Aug 30 - Sep 5, 2020

The two faces of correlation

Haavard Rue, Program Chair, Statistics

Sep 3, 12:00 - 13:00

KAUST

Statistical Modeling computing

Apr 26 - May 2, 2020

On Optimal Regularization in Estimation, Detection, and Classification

Tareq Al-Naffouri, Professor, Electrical and Computer Engineering

Apr 30, 12:00 - 13:00

KAUST

linear systems computational Complexity Convex Gaussian Min-max theorem

Apr 19 - Apr 25, 2020

Efficient and Physics-Preserving Discretization Schemes for Multiphase Flow Problems

Shuyu Sun, Professor, Earth Science and Engineering

Apr 23, 12:00 - 13:00

KAUST

Apr 12 - Apr 18, 2020

Quantitative understanding of transcription factor regulation at network- and molecular-levels through optimization and deep learning

Xin Gao, Program Chair, Computer Science

Apr 16, 12:00 - 13:00

KAUST

transcription factor optimization Deep learning

Apr 5 - Apr 11, 2020

Geometry and Computational Design

Apr 9, 12:00 - 13:00

KAUST

Geometry computational design

Computation of High-Dimensional Multivariate Normal and Student-t Probabilities Based on Matrix Compression Schemes

Jian Cao, Ph.D., Statistics

Apr 6, 16:00 - 18:00

KAUST

Mar 29 - Apr 4, 2020

Classification of Functional Data by Detecting the Discrepancy of Second Moment Structure of Scaled functions

Shuhao Jiao, Postdoctoral Research Fellow, Statistics

Apr 2, 12:00 - 13:00

KAUST

Functional data

Mar 8 - Mar 14, 2020

Functional data depth and its application in the visualization of spatio-temporal covariance structures

Mar 12, 12:00 - 13:00

KAUST

functional data analysis spatio-temporal statistics

Mar 1 - Mar 7, 2020

Simulation of Neuronal Signal Processing - 2020-03-05

Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences

Mar 5, 12:00 - 13:00

B9 L2 R2322

Neuronal ensembles Stochastiic Variability neuroscience

Feb 16 - Feb 22, 2020

Statistical models for long-range dependent climate data

Sigrunn Sorbye, Associate Professor, UiT The Arctic University of Norway

Feb 20, 12:00 - 13:00

B9 L2 R2322

statistical models climate data

Feb 2 - Feb 8, 2020

Mathematical modeling of the stochastic climate system

Georgiy L. Stenchikov, Professor (former), Earth Science and Engineering

Feb 6, 12:00 - 13:00

B9 L2 H1

weather climate projections

Geospatial Data Science for Public Health Surveillance - Seminar

Paula Moraga, Lecturer, Department of Mathematical Sciences, University of Bath, UK

Feb 5, 12:00 - 13:00

B9 L2 H2

Geospatial Data Public Health

Nov 24 - Nov 30, 2019

Statistical Analysis of Multi-day Solar Irradiance using a Threshold Time Series model

Carolina D. Euan Campos, Postdoctoral Research Fellow, Statistics

Nov 28, 12:00 - 13:00

B9 H2 R2325

solar energy solar irradiance analysis nonlinearity TAR model statistical analysis forecasting

Asymptotically Exact Variational Bayes for High-Dimensional Probit Models

Prof. Daniele Durante, Department of Decision Sciences, Bocconi University, Italy

Nov 27, 15:30 - 16:30

B1 L4 R4102

Bayesian approach to inference decision sciences

Hidden Backdoors in Deep Learning Systems

Prof. Ben Zhao, Computer Science, University of Chicago, USA

Nov 25, 12:00 - 13:00

B9 L2 H1 R2322

Nov 17 - Nov 23, 2019

Estimation Problems for Partial and Fractional Differential Equations - Autumn 2019

Nov 21, 12:00 - 13:00

B9 L2 H1 R2322

Fractional differential equations Partial Differential Equations Estimation problems Simulations algorithms real applications

2019 Statistics and Data Science Workshop

Nov 18, 00:00 - Nov 20, 23:45

B2 B3 A0215

Nov 10 - Nov 16, 2019

Statistical models based on stochastic partial differential equations

Prof. David Bolin, Statistics, KAUST

Nov 14, 12:00 - 13:00

B9 L2 H1 R2322

statistics SPDEs

Optimal Singular Value Thresholding in Correlated Noise

Prof. David L. Donoho, Department of Statistics, Stanford University

Nov 12, 15:00 - 16:00

B19 Auditorium

Deepnet Spectra and the Two Cultures of Data Science

Prof. David L. Donoho, Department of Statistics, Stanford University

Nov 12, 12:00 - 13:00

B9 L2 H2 R2325

EE 398 Graduate Seminar

Tareq Al-Naffouri, Professor, Electrical and Computer Engineering

Nov 10, 12:00 - 13:00

B9 L2 H1 R2322

Nov 3 - Nov 9, 2019

On mean-field game price models

Diogo Gomes, Program Chair, Applied Mathematics and Computational Sciences

Nov 7, 12:00 - 13:00

B9 L2 H1 R2322

mean-field games price formation modeling linear-quadratic problem optimal transport with constraints supply and demand balance

Reproducibility in Computer Science - Part 3

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Nov 6, 16:00 - 17:00

B9 L3 R3223

reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

Reproducibility in Computer Science - Part 2

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Nov 5, 16:00 - 17:00

B9 L3 R3223

reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

Mixed graphical-basis models for large nonstationary and multivariate spatial data problems

Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA

Nov 5, 14:00 - 15:00

B1 L4 R4102

multivariate spatial processes statistical climatology and statistics for energy sciences

Reproducibility in Computer Science - Part 1

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

Nov 4, 16:00 - 17:00

B9 L3 R3223

reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

Oct 13 - Oct 19, 2019

Monte Carlo Computation

Oct 17, 12:00 - 13:00

B9 L2 H1 R2322

Oct 6 - Oct 12, 2019

Modeling, studying, and forecasting the circulation and Climate of the Red Sea

Ibrahim Hoteit, Professor, Earth Science and Engineering

Oct 10, 12:00 - 13:00

B9 L2 H1 R2322

Sep 22 - Sep 28, 2019

Statistics of Extremes

Raphaël Huser, Associate Professor, Statistics

Sep 26, 12:00 - 13:00

B9 L2 H1 R2322

extreme environmental events probabilities risks univariate extremes Spatial extremes

Sep 8 - Sep 14, 2019

Waves in Complex Media: Theories and Applications

Ying Wu, Professor, Applied Mathematics and Computational Sciences

Sep 12, 12:00 - 13:00

B9 L2 H1

Jul 7 - Jul 13, 2019

Publishing Advanced Materials Science – How to maximize your success!

Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley

Jul 9, 14:00 - 15:00

B3 L5 R5209

materials science wiley advanced materials

Jun 30 - Jul 6, 2019

Abstract Writing

Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University

Jul 2, 10:00 - 11:00

B3 L5 R5209

Scientific Writing

Physical Layer Security of Wireless-powered NOMA-based Cognitive Radio Networks: Fundamentals & Challenges

Dr. Faissal El Bouanani, Chair of CommNet and ACOSIS conferences

Jul 1, 11:00 - 12:00

B1 L2 R2202

Cognitive radio network IoT 5G and beyond

Jun 23 - Jun 29, 2019

5G IoT Networks: from Massive access to URLLC

Prof. Yonghui Li, Director of Wireless Engineering Laboratory, The University of Sydney

Jun 24, 16:30 - 17:30

B1 L3 R3119

the university of sydney IoT M2M Communication

May 26 - Jun 1, 2019

Non-Orthogonal Multiple Access for 5G and Beyond

Prof. Daniel Costa , Federal University of Ceará

May 26, 14:00 - 15:00

B1 L2 R2202

Federal University of Ceará 5th generation cellular

May 12 - May 18, 2019

The strength of multidisciplinary research: the joint example of statistics and geoscience

Dr. Luigi Lombardo, University of Twente, Netherlands

May 14, 16:00 - 17:00

B1 L4 R4102

University of Twente spatial statistics

May 5 - May 11, 2019

Joint longitudinal-survival models using R-INLA

Janet van Niekerk, Research Scientist, Statistics

May 9, 12:00 - 13:00

B9 L2 H1

stochastic smoothing pipeline R-INLA

Apr 28 - May 4, 2019

Estimating the expected information gain in Bayesian optimal experimental design

May 2, 12:00 - 13:00

B9 L2 H1

optimization DLMC DLMCIS

Apr 21 - Apr 27, 2019

Almost everything you always wanted to know about NONLINEAR STATE SPACE MODELS (but were afraid to ask)

Prof, David Stoffer, University of Pittsburgh, Pennsylvania, USA

Apr 26, 15:00 - 18:00

B1 L4 R4102

university of pittsburgh linear guassian model Numerical Optimization

Forecasting Multiple Time Series with One-Sided Dynamic Principal Components

Prof. Daniel Peña Sánchez de Rivera, Department of Statistics, Universidad Carlos III de Madrid

Apr 25, 16:00 - 17:00

B1 L4 R4102

Time Series big data

Applications of random matrix theory for wireless communication and big data processing

Abla Kammoun, Senior Research Scientist, Electrical and Computer Engineering

Apr 25, 12:00 - 13:00

B9 L2 H1

Inference for Spatial Trends

Professor Ngai Hang Chan, Professor of Statistics, Chinese University of Hong Kong

Apr 23, 16:00 - 17:00

B1 L4 R4102

Apr 14 - Apr 20, 2019

Estimation Problems for Partial and Fractional Differential Equations - Spring 2019

Apr 18, 12:00 - 13:00

B9 L2 H1

Fractional differential equation Partial Differential Equations

Apr 7 - Apr 13, 2019

Space-time conservation element and solution element (CESE) method for computational fluid dynamics

Hua Shen

Apr 11, 12:00 - 13:00

B9 L2 H1

computational fluid dynamics CFD

Mar 31 - Apr 6, 2019

High-dimensional Q-learning for Dynamic Treatment Regimes

Prof. Rui Song, Department of Statistics, North Carolina State University

Mar 31, 12:00 - 13:00

B3 L5 R5220

HQ-learning statistical inference data analysis simulation

Mar 10 - Mar 16, 2019

Truth, Knowledge, P-Values, Bayes, & Inductive Inference

Edsel A. Peña, iProfessor in the Department of Statistics, University of South Carolina

Mar 14, 16:00 - 17:00

B1 L4 R4102

statistics Bayesian computational statistics inductive inference