Events

Nov 3 - Nov 17, 2019

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 10, 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 20, 2019

Monte Carlo Computation

Oct 17, 12:00 - 13:00

B9 L2 H1 R2322

Oct 6 - Oct 13, 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 29, 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 15, 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 14, 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 7, 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 30, 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 19 - Jun 2, 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 19, 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 12, 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 5, 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 28, 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 21, 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 14, 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 24 - Apr 7, 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 17, 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

Nov 11 - Nov 18, 2018

2018 Workshop on Statistics and Data Science

Nov 12, 08:30 - Nov 15, 17:00

Auditorium 0215 between Buildings 4 & 5

data science high dimensional statistics modeling biological processes physical processes

Nov 4 - Nov 11, 2018

Spatio-Temporal Data Analysis by Transformed Gaussian Processes

Yuan Yan, PhD Student of Prof. Marc Genton, KAUST

Nov 5, 17:15 - 18:15

B2 L5 R5220

spatio-temporal data analysis statistics

Mar 18 - Mar 25, 2018

Computational and Statistical Interface to Big Data

Xin Gao, Program Chair, Computer Science

Mar 19, 08:00 - Mar 21, 17:00

B9 L2 H2

Jun 11 - Jun 18, 2017

Computational Methods for Large Spatio-temporal Datasets and Functional Data Ranking

Jun 13, 09:00 - 10:00

B1 L4 R4102

computational statistics Environmental Statistics

May 15 - May 29, 2016

Welcome at Kaust UQ School On Numerical Methods For Direct And Inverse Problems 2016 22-28 May

Raul Tempone, Professor, Applied Mathematics and Computational Sciences

May 22, 12:00 - May 28, 12:00

B9 H1 R2322

numerical methods stochastic differential equations statistics

Mar 6 - Mar 20, 2016

Workshop on Statistical Process Monitoring and Risk Assessment for Engineering and Spatial Environmental Applications

Mar 13, 09:00 - Mar 15, 15:00

B1 L4 R4102

Environmental Statistics spatial statistics

Feb 7 - Feb 14, 2016

A Distributed Implementation of the Multi-resolution Approximation for Very Large Spatial Data

Dorit Hammerling, National Center for Atmospheric Research (NCAR)

Feb 10, 15:30 - 16:30

B1 L4 R4102

spatial statistics

Nov 8 - Nov 15, 2015

Disease Risk Estimation by Combining Case-Control Data with Aggregated Information on the Population at Risk

Xiaohui Chang, Assistant Professor, College of Business at Oregon State University

Nov 9, 15:30 - 16:00

B1 L4 R4102

statistics

Kriging Asymptotics

William Kleiber, Assistant Professor, University of Colorado

Nov 9, 15:00 - 16:30

B1 L4 R4102

spatial statistics

Sep 27 - Oct 11, 2015

Workshop on Computational Space-Time Statistics

Oct 4, 09:45 - Oct 6, 10:45

B1 L4 R4102

Statistics of extremes Environmental Statistics

Mar 8 - Mar 15, 2015

Collective Estimation of Multiple Bivariate Density Functions with Application to Angular-sampling-based Protein Structure Prediction

Mehdi Moodaaliat, Assistant Professor, Marquette University

Mar 10, 15:00 - 16:00

statistics

Nov 23 - Nov 30, 2014

Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling

Matthew Pratola, Assistant Professor of Statistics, The Ohio State University

Nov 24, 15:00 - 16:00

B1 L2

nonparametric statistics Bayesian Statistics

Sep 7 - Sep 14, 2014

Uncertainty Quantification of Tsunami Models

Serge Guillas, Professor of Statistics, University College London (UCL)

Sep 8, 15:00 - 16:00

uncertainty quantification Environmental Statistics