Events

Jan 19 - Feb 2, 2025

NumPDE Workshop - Numerical Analysis of PDEs

Jan 26, 08:45 - Jan 28, 15:35

B2, L5, R5220

Dec 15 - Dec 29, 2024

SDE, BSDE under Nonlinear Expectation and Fully Nonlinear Path-dependent Parabolic PDE

Shige Peng, Academician of the Chinese Academy of Sciences, Professor of Mathematics, and Chairman of the Research Center for Mathematics and Interdisciplinary Sciences at Shandong University

Dec 22, 11:00 - 12:00

B1, L3, R3119

Dec 8 - Dec 15, 2024

From perfect numbers to Egyptian fraction

Tianxin Cai

Dec 12, 16:00 - 17:00

B5, L5, R5209

A Construction of C^r Conforming Finite Element Spaces in Any Dimension

Jun Hu

Dec 12, 12:00 - 13:00

B1, L3, R3119

KAUST-CEMSE-AMCS-Mathematics-and-Applications Colloquium-Qiang-Du

Integral models with nonlocal operators: applications and recent development

Qiang Du, Fu Foundation Professor of Applied Mathematics at Columbia University

Dec 10, 16:00 - 17:00

B1, L3, R3119

Innovating Tomorrow: Research, Opportunities, and Future Semiconductor and Digital Technologies

Sohail Faizan Shaikh

Dec 10, 14:00 - 15:00

B3, L5, R5220

Dec 1 - Dec 8, 2024

Causal Recommender Systems

Xiao-Hua (Andrew) Zhou

Dec 5, 16:00 - 17:00

B1, L3, R3119

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

From Pentamodes to Cable Webs to Masonry Structures

Graeme Milton

Dec 5, 10:00 - 11:00

B1, L3, R3119

KAUST-CEMSE-AMCS-Phd-dissertation-defense-yang-liu

Multilevel sampling and goal-oriented adaptive finite elements for random PDEs and advances in randomized quasi-Monte Carlo

Yang Liu , Ph.D. Student, Applied Mathematics and Computational Sciences

Dec 4, 16:00 - 18:30

B2, L5, R5209

KAUST-CEMSE-AMCS-SIAM-seminar-Melih-Ucer

Monotone Operator methods for proving existence of solutions to Dirichlet-type problems

Melih Ucer, Postdoctoral Research Fellow, Applied Mathematics and Computational Sciences

Dec 4, 14:15 - 15:15

B1, L4, R4214

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

Economic Fitness: Concepts, Methods and Applications

Luciano Pietronero

Nov 27, 12:00 - 13:00

B2, L5, R5220

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