Events

Dec 8 - Dec 15, 2024

From perfect numbers to Egyptian fraction

Tianxin Cai

Dec 12, 16:00 - 17:00

B5, L5, R5209

Dec 1 - Dec 8, 2024

KAUST-CEMSE-AMCS-STAT-Graduate-Seminar-Maurizio-Filippone

Improving Optimization of Likelihood-based Generative Models with One Line of Code

Maurizio Filippone, Associate Professor, Statistics

Dec 5, 12:00 - 13:00

B9, L2, R2325

KAUST-CEMSE-CS-Graduate-Seminar-Robert-Hoehndorf-Neuro

Neuro-symbolic methods for Semantic Web ontologies

Robert Hoehndorf, Associate Professor, Computer Science

Dec 2, 12:00 - 13:00

B9, L2, R2325

Nov 24 - Dec 8, 2024

KAUST-CEMSE-ECE-Graduate-Seminar-Ahmed-Musleh-Experimental

Experimental Cybersecurity Evaluation of Distributed Solar Inverters: Vulnerabilities and Impacts on the Australian Grid

Dr. Ahmed Musleh, Electrical Engineering, University of New South Wales

Dec 1, 12:00 - 13:00

B9, L2, R2325

Nov 24 - Dec 1, 2024

Mathematics and Sustainability - A Teaching Perspective - Part 2

Henrik Shahgholian

Nov 28, 15:00 - 16:00

B3, L5, R5220

KAUST-CEMSE-AMCS_STAT-Graduate-Seminar-Laurent-Condat-LoCoDL

LoCoDL: Communication-Efficient Distributed Optimization with Local Training and Compression

Laurent Condat, Senior Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering

Nov 27, 12:00 - 13:00

B9, L3, R3125

KAUST-CEMSE-Public-Colloquium-Marco-Canini-Why-ML-Works-Its-Not-Magic

Why ML Works: It’s Not Magic, It’s Networked Systems Wizardry!

Marco Canini, Associate Professor, Computer Science

Nov 27, 10:00 - 11:30

B9, L2, R2322

machine learning computing system

Constraint Maps and their free boundaries

Henrik Shahgholian

Nov 26, 16:00 - 17:00

Building 1, Level 3, Room 3119

Spatio-Temporal Statistics in Geo-Environmental Data Science

Ying Sun, Associate Professor, Statistics

Nov 26, 15:00 - 16:30

B9, L2, R2322

spatio-temporal statistics

Mathematics and Sustainability - A Teaching Perspective - Part 1

Henrik Shahgholian

Nov 25, 15:00 - 16:00

B3, L5, R 5220

Data Augmentation is Regularization

Maurizio Filippone, Associate Professor, Statistics

Nov 25, 12:00 - 13:00

B9, L2, R2325

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Zhanibek-Bizak

Cost-effective Large-area Digital Circuits via Adhesive Lithography

Zhanibek Bizak, Ph.D. Student, Electrical and Computer Engineering

Nov 25, 10:00 - 11:00

B3, R5, R5220

Nov 17 - Dec 1, 2024

KAUST-CEMSE-ECE-Graduate-Seminar-Ahmed-Nasser

Harnessing Real-World Data for AI-Driven Wireless Communication: Exploring Cutting-Edge Testbeds for Next-Gen Solution

Ahmed Nasser Ismail, Postdoctoral Research Fellow, Electrical and Computer Engineering

Nov 24, 12:00 - 13:00

B9, L2, R2325

Nov 17 - Nov 24, 2024

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Xiuping-Wang

Efficient and Structure-Preserving Numerical Schemes for Kohn-Sham Gradient Flow Models

Xiuping Wang, Ph.D. Student, Applied Mathematics and Computational Sciences

Nov 20, 09:00 - 10:00

B4, L5, R5220

KAUST-CEMSE-AMCS-MAC-Tao-Zhou-Deep-Adpative-Sampling

Deep Adaptive Sampling for Numerical PDEs

Prof. Tao Zhou, Chinese Academy of Sciences

Nov 19, 16:00 - 17:00

B1, L3, R3119

The KAUST 2024 Workshop on Statistics

Nov 18, 09:00 - Nov 21, 17:00

Auditorium between Building 4 - 5

The KAUST Red Sea Research Conference on Frontier Technology

Nov 18, 08:00 - Nov 19, 17:00

Auditorium between Buildings 2 and 3

Jun 30 - Jul 7, 2024

Stacked Intelligent Metasurfaces Enabled Joint Signal Processing and Communication in the Wave Domain

Chau Yuen

Jul 1, 10:00 - 11:00

B1 L3 R3119

Jun 23 - Jul 7, 2024

Synthetic Molecular Communication Across Different Scales: From Theory to Experiments

Robert Schober

Jun 30, 10:00 - 11:00

B1 L3 R3119

Jun 23 - Jun 30, 2024

Mega Constellations - Trends, Technologies and Vision

Symeon Chatzinotas

Jun 27, 10:00 - 11:00

B1 L3 R3119

Jun 9 - Jun 16, 2024

On the Natural Gradient Descent

Prof. Levon Nurbekyan

Jun 11, 16:00 - 17:00

KAUST

gradient methods

Jun 2 - Jun 9, 2024

Cellular Mesoscale Visualization from Electron Microscopy Imaging

Ngan Nguyen, Ph.D. Student, Computer Science

Jun 6, 13:00 - 15:00

B1 L4 R4214

Unlocking Spectrum Synergy: Seamless Radar-Communication Integration by Leveraging MIMO Beampattern Invariance

Sana Mazahir, Ph.D. Student, Electrical and Computer Engineering

Jun 4, 11:00 - 13:00

B1 L3 R3119

Integration is all you need: a vision of joint sensing, learning, and communication networks

Nuria Gonzalez Prelcic, Professor, Electrical and Computer Engineering, University of California

Jun 4, 10:00 - 11:00

B1 L3 R3119

May 26 - Jun 2, 2024

ML-based Network Intrusion Detection Systems: Resilience threats and a mitigation approach

António Casimiro is an Associate Professor at the Department of Informatics of the University of Lisboa Faculty of Sciences (FCUL)

May 30, 15:30 - 16:30

B4 L5 R5220

cybersecurity cyber threats

Stein Variational Gradient Descent and Consensus-Based Optimization: Towards a Convergence Analysis and Generalization

Lukang Sun, Ph.D. Student, Computer Science

May 30, 11:00 - 14:00

B3 L5 R5220

Deep Neural Networks for Large-scale Complex Spatial and Spatio-temporal Processes

Pratik Nag , Ph.D. Student, Statistics

May 29, 09:00 - 11:30

B4 L5 R5220

A Whole-genome Model of DNA Replication in Human Cells

Dr. Francisco Berkemeier, University of Cambridge

May 28, 16:00 - 17:00

B5 L5 R5209

genome biological models

Compressed Communication in Distributed Deep Learning and Generative Language Models

Hang Xu, Ph.D. Student, Computer Science

May 28, 15:00 - 17:00

B2 L5 R5209

May 19 - May 26, 2024

Visualization, Characterization, and Forecasting of Multivariate and Functional Time Series

Cristian Felipe Jiménez Varón, Ph.D. Student, Statistics

May 22, 14:00 - 16:00

B4 L5 R5220

Advancing Plasmonic Modulation: CMOS-Compatible MIS-Schottky Devices for Integrated Photonics

Dr.Nasir Alfaraj, Department of Electrical and computer Engineering, University of Toronto

May 21, 10:00 - 12:00

B9 L3 R3128

May 12 - May 26, 2024

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024

Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)

May 19, 08:00 - May 30, 17:00

B2 B3 A0215

stochastic algorithms statistical learning machine learning

May 12 - May 19, 2024

Hierarchical ensemble-based data assimilation and rare event tracking

Gaukhar Shaimerdenova, Ph.D. Student, Applied Mathematics and Computational Sciences

May 15, 10:00 - 12:00

B4 L5 R5220

numerical analysis

Models, Methods, Applications: HPC in Medicine, Science, Engineering, and AI

Rolf Krause, Professor, Applied Mathematics and Computational Sciences

May 14, 16:00 - 17:00

B3 L5 R5209

machine learning medicine AI

Towards trustworthy use of scientific machine-learning in large scale numerical simulations

Alena Kopanicakova, Researcher, Brown University

May 13, 09:00 - 10:00

B9 L3 R3128

numeric simulations

May 5 - May 12, 2024

Intracellular "in silico microscopes" - Fully 3D Spatio-Temporal Virus Replication Model Simulations

Gabriel Wittum, Professor, Applied Mathematics and Computational Sciences

May 9, 12:00 - 13:00

B9 L2 H2 H2

Magnetically Controlled Printed Phase Shifters and Reconfigurable Beam Scanning Arrays

Ulan Myrzakhan, Ph.D. Student, Electrical and Computer Engineering

May 8, 15:00 - 17:00

B4 L5 5220

The impact of electrolyte swelling on the mixed conduction properties of n-type organic semiconductors

Jokubas Surgailis, Ph.D. Student, Electrical and Computer Engineering

May 8, 11:00 - 13:00

B5 L5 R5220

Optimization for Deep Learning

Dr. Konstantin Mischenko, Samsung AI Center, Cambridge, UK

May 7, 16:00 - 17:00

B5 L5 R5209

Deep learning mathematical optimization

3D Smart Antenna-in-Package Designs with Orientation Awareness and Self-Reconfigurability for Internet of Things (IoT) Applications

Maria Bermudez Arboleda, Ph.D. Student, Electrical and Computer Engineering

May 6, 14:30 - 16:30

B2 L5 R5220

Apr 28 - May 12, 2024

Toward long-form video understanding

Chen Zhao, Research Scientist, Electrical and Computer Engineering

May 5, 12:00 - 13:00

B9 L2 H2

Multigrid Monte Carlo Revisited: Theory and Bayesian Inference

Professor Robert Scheichl, University of Heidelberg

May 5, 11:00 - 12:00

B1 L3 R3119

Multigrid Monte Carlo

Averaging, Momentum, and Schedulers in Optimization for Deep Learning

Konstantin Mishchenko

May 5, 11:00 - 13:00

B9 L3 R3128

Deep learning artificial intelligence

Apr 28 - May 5, 2024

Non-standard Finite Elements for Eigenvalue Problems

Linda Alzaben, Ph.D. Student, Applied Mathematics and Computational Sciences

May 2, 14:00 - 15:00

B1 L2 R2202

Statistical Deep-Learning for Spatiotemporal Extremes

Raphaël Huser, Associate Professor, Statistics

May 2, 12:00 - 13:00

B9 L2 H2 H2

Statistical Analysis of Topological Patterns in Dependence Networks of Brain Time Series Data

Anass B. El-Yaagoubi, Ph.D. (former), Statistics

May 2, 11:00 - 12:00

B1 L4 R4102

Azimuthal Super-Resolution Imaging of Ferromagnetic Tubulars: Deep Neural Network-Based Electromagnetic Inversion

Guang An Ooi, Ph.D. Student, Electrical and Computer Engineering

May 2, 09:00 - 11:30

B4 L5 R5209

Virtual Element Approximation of Eigenvalue Problems

Prof. Francesca Gardini, Università di Pavia

Apr 30, 16:00 - 17:00

B1 L3 R3119

Virtual Element Method Elgenvalue FEMSimulation PDE

Towards accelerating catalyst discovery: bridging the gap between modeling, experiments, and large-scale integration

Dr. Jehad Abed, Postdoctoral Researcher, Fundamental AI Research at Meta

Apr 30, 11:00 - 12:00

B1 L3 R3426

Millimeter-Wave Antenna-in-Package/Antenna-on-Chip Designs with High Gain, Wideband, and Wide Beam-scanning Features

Haoran Zhang, Ph.D. Student, Electrical and Computer Engineering

Apr 30, 10:00 - 12:00

B3 L5 R5220