Events

Nov 27 - Dec 3, 2022

A journey in applied complexity: pioneering record-performing technologies in clean energy harvesting, machine vision, and smart materials - Graduate Seminar

Andrea Fratalocchi, Professor, Electrical and Computer Engineering

Nov 27, 12:00 - 13:00

B9 L2 R2322 H1

Applied complexity

Hardware security and trust for wireless integrated circuits

Prof. Haralampos Stratigopoulos, Sorbonne Université

Nov 27, 10:15 - 11:30

B2 5220

Hardware Network wireless

Trust, But Verify: Towards Self-Aware, Safe, Autonomous Self-Driving Systems

Prof. Fadi Kurdahi

Nov 27, 09:30 - 10:15

B2 5220

Autonomous system

Embedded and Cyber Connected Systems (ECCS) Workshop

Prof. Ahmed Eltawil, Prof. Charalambos Konstantinou, Prof. Khaled Nabil Salama

Nov 27, 08:00 - Nov 28, 17:00

B2 L5 R5220

cybersecurity machine learning 5G networks hardware security

Nov 20 - Nov 26, 2022

Introduction to Quantum Computing

Arnaud Carignan Dugas, Research Scientist, Quantum Computing University of Waterloo

Nov 23, 14:00 - 16:00

Online Event

quantum computing

Machine learning in hardware via trained metasurface encoders: theory, design and applications

Maksim Makarenko, Ph.D. Student, Electrical and Computer Engineering

Nov 23, 10:00 - 12:30

B2 L5 R5209

machine learning artificial intelligence photonics

Sharp Approximation Rates for Deep ReLU Neural Networks on Sobolev Spaces

Assistant Professor Jonathan Siegel, Texas A and M University

Nov 22, 15:30 - 17:00

B1 L3 R3119

ReLU Neural Network Sobolev Spaces

Lipschitz learning and the infinity-Laplacian

Miguel Urbano, Professor, Applied Mathematics and Computational Sciences

Nov 22, 12:00 - 13:00

B9 L2 R2322

Lipschitz additive nonlinear uncertainty infinity Laplacian

On training algorithms for neural networks

Jinchao Xu, Professor, Applied Mathematics and Computational Sciences

Nov 21, 12:00 - 13:00

B9 L2 R2322 H1

Deep learning deep neural networks

Principles and Algorithms for Multi-Agent Decision Making

Shinkyu Park, Assistant Professor, Electrical and Computer Engineering

Nov 20, 12:00 - 13:00

B9 L2 R2322 H1

Multi-Agent Decision Making

Nov 13 - Nov 19, 2022

Interval Prediction for Spatial Data Using Deep Learning Models

Ghulam Qadir, Posdoctoral fellow, Computational Statistics group at Heidelberg Institute for Theoretical Studies, Germany

Nov 17, 10:00 - 11:00

B1 L4 R4102

Functional Differential Equations in Models of Collective Behavior - Graduate Seminar

Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences

Nov 15, 12:00 - 13:00

B9 L2 R2322

Functional Differential Equation

Parameter-Free Online Optimization: Past, Present, and Future

Francesco Orabona, Associate Professor of Electrical and Computer Engineering, Boston University

Nov 14, 12:00 - 13:00

B9 L2 R2322

Parameter-free online optimization machine learning

Recent Progress in Aeronautical Sciences: Exquisite Stability of Insect Flight and a New Theory of Lift

Prof. Haithem Taha, Associate Professor, Department of Mechanical and Aerospace Engineering at the University of California, Irvine

Nov 14, 12:00 - 13:00

B2 L5 R5220

Aeronautical Sciences Insect Flight New Theory of Lift

Multifunctional Electronic Devices: Towards Sustainable Electronics

Nazek El-Atab, Assistant Professor, Electrical and Computer Engineering

Nov 13, 12:00 - 13:00

B9 L2 R2322 H1

Multifunctional Electronic Devices

Nov 6 - Nov 12, 2022

Introduction to Computer Simulation - A short course II - Part 3

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 10, 10:00 - 11:30

B1 L3 R3119

Introduction to Computer Simulation - A short course II - Part 2

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 9, 10:00 - 11:30

B1 L3 R3119

Parallel multilevel solvers for virtual element discretizations of saddle point problems

Prof. Simone Scacchi, Associate Professor of Numerical Analysis at the Department of Mathematics of the University of Milan

Nov 8, 15:30 - 17:00

B1 L3 R3119

Virtual Element Method

The role of skewed distributions in Bayesian inference: conjugacy, scalable approximations and asymptotics

Daniele Durante, Assistant Professor of Statistics at the Department of Decision Sciences, Bocconi University, Italy

Nov 8, 15:00 - 16:00

B1 L4 R4102

bayesian inference

Modeling water waves: from tsunamis to the kitchen sink

David Ketcheson, Professor, Applied Mathematics and Computational Sciences

Nov 8, 12:00 - 13:00

B9 L2 R2322

water waves Tsunamis Statistical Modelling

Introduction to Computer Simulation - A short course II - Part 1

Prof. Michal Mankowski, Assistant Professor of Operations Research, Erasmus University Rotterdam, Netherlands

Nov 8, 10:00 - 11:30

B1 L3 R3119

Numerical approximations of Mean-Field-Games

Serikbolsyn Duisembay, Ph.D. Student, Applied Mathematics and Computational Sciences

Nov 7, 14:00 - 16:00

B1 L2 R2202

mean-field games

Thoughts on how to Effectively Explore Visual Representations in Mixed Reality

Tobias Isenberg, Senior Research Scientist, Inria

Nov 7, 12:00 - 13:00

B9 L2 R2322 H1

virtual reality data visualisation Scientific Visualization

Multivariate Functional Data Analysis and Visualization

Zhuo Qu, Ph.D. Student, Statistics

Nov 7, 11:00 - 13:00

B3 L5 R5220

functional data analysis multivariate functional data statistics

Integrating Terrestrial and Non-terrestrial Networks: 3D Opportunities and Challenges

Giovanni Geraci, Assistant Professor, Pompeu Fabra University, Barcelona

Nov 6, 16:00 - 17:00

B1 L3 R3119

Integrating Terrestrial and Non-terrestrial Networks

Towards sustainable and resilient multi-energy infrastructure systems: water-energy nexus

Mohannad Alhazmi, Electrical Engineering, King Saud University

Nov 6, 12:00 - 13:00

B9 L2 R2322 H1

Oct 30 - Nov 5, 2022

Flexible Electronics Beyond Mechanical Flexibility: Multifunctional Flexible Semiconductor Materials and Devices for Photonic, Electronic, Energy, and Sensing Applications

Prof. Jae-Hyun Ryou, Mechanical Engineering, University of Houston

Nov 3, 12:00 - 13:00

B9 L3 R3223

flexible photonic energy sensing devices

Wide Bandgap Semiconductor Device Design via Machine Learning

Rongyu Lin, Ph.D., Electrical and Computer Engineering

Nov 2, 15:30 - 17:30

B2 L5 R5220

machine learning light gradient boosting machine extreme gradient boosting

Autonomy for recreational vessels: Safe intelligence at your finger tips Pablo Afman, ATL Robotics

Juan-Pablo Afman

Nov 2, 12:00 - 13:00

B2 L5 R5220

robotics intelligent systems

Numerical approximation of McKean-Vlasov SDEs via Stochastic Gradient Descent

Prof. Gonçalo dos Reis, School of Mathematics, University of Edinburgh

Nov 1, 15:30 - 17:00

B1 L3 R3119

stochastic gradient descent McKean-Vlasov SDEs

Multilevel Bayesian Neural Networks

Nov 1, 12:00 - 13:00

B9 L2 R2322

Bayesian computational technique Applied Machine Learning

Microstructural Analysis and Engineering of III-Nitride-Based Heterostructures for Optoelectronic Devices

Martín Velázquez Rizo, Ph.D. Student, Electrical and Computer Engineering

Nov 1, 10:00 - 11:30

B1 L3 R3119

photocatalytic energy conversion

Everything PhD students always wanted to know about research* (*but were afraid to ask)

Oct 31, 12:00 - 13:00

B9 L2 R2322 H1

scientific research PhD student

The KAUST 2022 Workshop on Statistics

Oct 31, 09:00 - Nov 3, 17:00

B2 B3 A0215

statistics data science big data modeling complex data

Non-Terrestrial Networks: Opportunities and Challenges

Abdulah Aljohani, Research and Innovation Consultant, Communications and Information Technology Commission (CITC)

Oct 30, 16:00 - 16:30

KAUST

Non-Terrestrial Networks

Toward scalable and high performance on-chip light source for integrated silicon photonics

Chen Shang, Postoctoral Researcher Fellow, University of California Santa Barbara

Oct 30, 12:00 - 13:00

B9 L2 R2322

Integrated Photonics technology

Oct 23 - Oct 29, 2022

Enabling the New Semiconductor Revolution through Advances in Design-for-Yield, Design-for-Test, and Fault-Origin Analysis

Krish Chakrabarty, John Cocke Distinguished Professor, Electrical and Computer Engineering, Duke University

Oct 26, 11:15 - 12:15

B9 L2 R2322

advanced semiconductors

On Some PDEs with singular data

Prof. Mohammed Kbiri Alaoui, King Khalid University

Oct 25, 15:30 - 17:00

B1 L3 R3119

PDEs singular data

Flexible Extremal Dependence Models for Multivariate and Spatial Extremes

Zhongwei Zhang, Ph.D. Student, Statistics

Oct 25, 15:00 - 18:00

B5 L5 R5220

Statistics of extremes spatial statistics

A journey in applied complexity: pioneering record-performing technologies in clean energy harvesting, machine vision, and smart materials - Public Colloquium

Andrea Fratalocchi, Professor, Electrical and Computer Engineering

Oct 25, 14:00 - 16:00

B9 L2 R2322

Applied complexity artificial intelligence information security biomedical applications

Mean-Field Games on Networks and Wardrop Equilibria - Graduate Seminar

Ricardo De Lima Ribeiro, Research Specialist, CEMSE, KAUST

Oct 25, 12:00 - 13:00

B9 L2 R2322

mean-field games

Applied AI for sustainable development

Prof.Evgeny Burnaev, Applied AI Center, Skolkovo Institute of Science and Technology

Oct 24, 12:00 - 13:00

B9 L2 R2322 H1

Skoltech machine learning Bayesian modeling artificial intelligence

BioChips: Leveraging Integrated Electronics for Sensing, Medicine, and Science

Pamela Abshire, Professor, Department of Electrical and Computer Engineering and Institute for Systems Research at the University of Maryland, College Park

Oct 23, 12:00 - 13:00

B9 L2 R2322

biomedical electronics Biosensors

Oct 16 - Oct 22, 2022

Inference for Longitudinal Data After Adaptive Sampling

Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Oct 20, 15:00 - 16:00

B9 L2 H2

Reinforcement Learning

We used Reinforcement Learning; but did it work?

Prof. Susan Murphy, Statistics and Computer Science and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

Oct 19, 16:00 - 17:00

B9 L2 H2

Reinforcement Learning Digital Behavioral Health

Gradient Estimates for weak solutions of Elliptic PDE's - Colloquium

Giuseppe Di Fazio, Professor, University of Catania

Oct 18, 15:30 - 17:00

B1 L3 R3119

Elliptic PDE

Distributed multi-GPU Algorithms for Hierarchical Matrices

George Turkiyyah, Research Professor, Applied Mathematics and Computational Sciences

Oct 18, 12:00 - 13:00

B9 L2 R2322

GPU Algorithms hierarchical matrices

Recent advances in mixed finite element approximation for poroelasticity

Arbaz Khan, Assistant Professor, Department of Mathematics, Indian Institute of Technology (IIT)

Oct 18, 11:00 - 12:00

B1 L3 R3119

parallel computing Numerical Solution of Partial Differential Equations stochastic differential equations

Oct 9 - Oct 15, 2022

A Fast Normalized Cut with Automated Constraints via Graph Coarsening

Prof. Young Ju Lee, Department of Mathematics, Texas State University

Oct 11, 15:30 - 17:00

B1 L3 R3119

Normalized Cut Graph Coarsening

Finite element approximation of parameter dependent eigenvalue problems

Daniele Boffi, Associate Dean for Faculty, Computer, Electrical and Mathematical Sciences and Engineering

Oct 11, 12:00 - 13:00

B9 L2 R2322

Finite element approximation of parameter dependent eigenvalue problems