Events

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

Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

Ikram Boukhedimi, Ph.D., Electrical and Computer Engineering

Jun 24, 12:00 - 14:00

B1 L3 R3119

Random Matrix Theory wireless communication systems Ultra-massive MIMO systems

Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

Jun 24, 09:00 - 10:00

B1 L4 R4214

Random Matrix Theory machine learning high dimensional statistics data science

Jun 9 - Jun 15, 2019

Efficient Localization of Human Actions and Moments in Videos

Victor Escorcia, Ph.D., Electrical and Computer Engineering

Jun 11, 15:00 - 16:00

B3 L5 R5220

Computer Vision machine learning artificial intelligence

May 26 - Jun 1, 2019

Quantum Inspired Photonics

Prof. Liang Feng, Department of Materials Science and Engineering, University of Pennsylvania

May 30, 10:00 - 11:00

B1 L2 R4214

University of Pennsylvania quantum mechanics photonics

Light Matter Interactions in Layered Materials: from Trivial to Topological Band Structures

Professor Ritesh Agarwal, Department of Materials Science and Engineering, University of Pennsylvania

May 30, 09:00 - 10:00

B1 L2 R4214

University of Pennsylvania layered materials

Part 4: The isoperimetric inequality. Stability and related topics

Prof. Nicola Fusco, Università di Napoli Federico II, Italy

May 29, 15:30 - 17:00

B1 L4 R4102

isoperimetric inequality Partial Differential Equations University of Jyvaskyla in Finland

Modern Techniques of Statistical Optimization for Machine Learning

Tong Zhang, Professor of Computer Science and Mathematics, HKUST

May 29, 12:00 - 13:00

B9 H1

HKUST statistics nonconvex stochastic optimization machine learning

Stationary Mean-Field Games with Congestion

David Evangelista, Ph.D. Student, Applied Mathematics and Computational Sciences

May 28, 14:00 - 15:00

B2 L5 R5220

mean-field games

Part 3: The isoperimetric inequality. Stability and related topics

Prof. Nicola Fusco, Università di Napoli Federico II, Italy

May 27, 14:30 - 16:00

B1 L4 R4102

isoperimetric inequality Partial Differential Equations University of Jyvaskyla in Finland

High Precision Comb-Assisted Molecular Spectroscopy in the Mid-Infrared

Bidoor AlSaif, Ph.D. Student, Electrical and Computer Engineering

May 27, 10:00 - 11:00

B2 L5 R5220

Optical sensors molecular spectroscopy

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 19 - May 25, 2019

Part 2: The isoperimetric inequality. Stability and related topics

Prof. Nicola Fusco, Università di Napoli Federico II, Italy

May 22, 14:30 - 16:00

B1 L4 R4102

isoperimetric inequality Partial Differential Equations University of Jyvaskyla in Finland

A Uniquely Defined Digital Experience

Jason E. Roos, Chief Information Officer, KAUST

May 22, 08:30 - 09:30

B9 H2

digital experience KAUST community

Numerical simulation in engineering and medicine - On multi-scale approaches, scientific software, and uncertainty

Prof. Rolf Krause, Faculty of Informatics, Università della Svizzera Italiana, Lugano

May 21, 12:00 - 13:00

B9 H2

Part 1: The isoperimetric inequality. Stability and related topics

Prof. Nicola Fusco, Università di Napoli Federico II, Italy

May 20, 14:30 - 16:00

B1 L4 R4102

isoperimetric inequality Partial Differential Equations University of Jyvaskyla in Finland

Data mining and fusion for image analysis in remote sensing

Dr. Wenzhi Liao, Ghent University, Belgium

May 19, 12:00 - 13:00

B2 L5 R5209

May 12 - May 18, 2019

Numerical methods for stochastic conservation laws with multiplicative rough drivers in the flux

Håkon A. Hoel, Visiting Researcher, Stochastic Numerics Research Group

May 16, 15:00 - 16:00

B1 L4 R4214

numerical methods numerical analysis

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

Sim-to-Real Transfer for Autonomous Navigation

Matthias Mueller, Ph.D., Electrical and Computer Engineering

May 14, 16:00 - 17:00

B2 L5 R5220

Computer Vision UAV robotics machine learning

Adaptive Intrusion Management System for Databases

Muhamad Felemban, Assistant Professor, Computer Engineering Department, KFUPM

May 13, 12:00 - 13:00

B9 L2 H1

cybersecurity

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

A Storage-Optimal Convex Optimization Framework with Applications to Semidefinite Programming

Alp Yurtsever, PhD Candidate, EPFL

May 6, 12:00 - 13:00

B9 L2 H2

semidefinite programming convex optimization

Modelling on the Service of Cooperative Communications

Prof. Slim Chaoui, Jouf University, KSA

May 5, 14:00 - 15:00

B1 L3 R3119

jouf university Cooperative communications Rayleigh-Gaussian model

Apr 28 - May 4, 2019

Part 3: Introduction to homogenisation and Gamma-Convergence

Filippo Cagnetti, Senior Lecturer in Mathematics, University of Sussex, UK

May 2, 14:00 - 16:00

B1 L4 R4214

gamma-convergence PDE

Estimating the expected information gain in Bayesian optimal experimental design

May 2, 12:00 - 13:00

B9 L2 H1

optimization DLMC DLMCIS

Part 2: Introduction to homogenisation and Gamma-Convergence

Filippo Cagnetti, Senior Lecturer in Mathematics, University of Sussex, UK

May 1, 14:00 - 16:00

B1 L2 R2202

gamma-convergence PDE

On Knowledge Graph and Causality for Recommender Systems

Prof. Guandong Xu, School of Software and Advanced Analytics Institute, University of Technology Sydney

Apr 30, 14:00 - 15:00

B1 L4 R4214

text and data analytics data science data mining University of Technology Sydney

Part 1: Introduction to homogenisation and Gamma-Convergence

Filippo Cagnetti, Senior Lecturer in Mathematics, University of Sussex, UK

Apr 30, 14:00 - 16:00

B2 B3 A0215

gamma-convergence PDE

OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding

Dr Philipp Jovanovic, École Polytechnique Fédérale de Lausanne (EPFL)

Apr 29, 12:00 - 13:00

B9 L2 H1

scale out security transactions

The route to chaos in routing games: Population increase drives period-doubling instability and chaos with Price of Anarchy equal to one

Georgios Piliouras, Assistant Professor, Singapore University of Technology and Design (SUTD)

Apr 29, 11:00 - 12:00

B1 L3 R3119

SUTD game-theoretic analysis robotics

1st Joint KAUST-MBSC Workshop

Apr 28, 13:30 - 17:00

B3 L5 R5220

InGaN-based light-emitting devices

Daisuke Iida, Senior Research Scientist, Electrical and Computer Engineering

Apr 28, 12:00 - 13:00

B9 L2 H1

MOVPE optoelectronics plasmonics photocatalysis solar energy

Model Predictive Control Systems for Industrial Applications

Fahad Albalawi , Research Scientist, Electrical and Computer Engineering

Apr 28, 09:30 - 10:30

B3 L5 R5209

Controller design Model Predictive Control Signal processing

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

Advanced MTJ Sensory Devices for Industrial and Healthcare Applications

Yousof A. Mashraei, Ph.D., Electrical and Computer Engineering

Apr 25, 15:00 - 16:00

B3 L5 R5209

magnetic sensors IoT consumer electronics

GaN-based power devices and power module

Dr. Liu Xinke, Assistant Professor, Shenzhen University

Apr 25, 13:00 - 14:00

B2 L5 R5220

Shenzhen University power devices power module

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

Day 2 - Deep learning and the latest algorithms in artificial intelligence

Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore

Apr 25, 09:00 - 17:00

B4 B5 A0215

Nanyang Technological University Deep learning machine learning

Introduction to High Performance Computational Chemistry with an Application of Hierarchical Matrices

Associate Professor Edmond Chow, School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology

Apr 24, 14:00 - 15:30

B2 B3 A0215

multipole quantum chemistry Georgia Tech

Part 3: Variational structures and Fourier approximation techniques for mean-field game systems

Dr. Levon Nurbekyan, Visiting Scholar, Université de Montréal

Apr 24, 14:00 - 16:00

B1 L3 R3119

Université de Montréal mean-field games Partial Differential Equations

Day 1 - Deep learning and the latest algorithms in artificial intelligence

Prof. Xavier Bresson, Data Science and AI Research Centre at Nanyang Technological University (NTU) Singapore

Apr 24, 09:00 - 17:00

B4 B5 A0215

Nanyang Technological University Deep learning machine learning

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

Unstructured Computations on Emerging Architectures

Mohammed AlFarhan

Apr 23, 13:00 - 14:00

B3 L5 R5209

Convolutional Neural Networks on Graphs

Prof. Xavier Bresson, NTU, Singapore

Apr 23, 12:00 - 13:00

B9 H2

Nanyang Technological University Deep learning machine learning

Part 2: Variational structures and Fourier approximation techniques for mean-field game systems

Dr. Levon Nurbekyan, Visiting Scholar, Université de Montréal

Apr 22, 14:00 - 16:00

B1 L3 R3119

Université de Montréal mean-field games Partial Differential Equations

Design and Optimisation of Next generation Compact Photonic Sensors

Prof. B. M. Azizur Rahman, City, University of London

Apr 22, 12:00 - 13:00

B3 L5 R5209

sensors

Big Data Approaches to Scientific Output Prediction

Prof. Yannis Manolopoulos, Open Univ. of Cyprus

Apr 22, 12:00 - 13:00

B9 L2 H1

Paving the Way for Next Generation Wireless Data Center Networks

Amer AlGhadhban, Ph.D. Student, Electrical and Computer Engineering

Apr 21, 13:00 - 14:00

B1 L4 R4214

big data artificial intelligence cloud services