Events

Feb 8 - Feb 14, 2026

Rising Stars in AI Symposium 2026

Feb 9 - 11, All day

KAUST Campus

Dec 7 - Dec 13, 2025

Overcoming Catastrophic Forgetting: From Efficiency to Safety

Lama Alssum, Ph.D. Student, Computer Science

Dec 11, 14:00 - 15:00

B3 L5 R5220

AI machine learning Computer Vision

Tales of a Spur Hunter: The Wandering Spur

Michael Peter Kennedy, Full Professor, School of Electrical and Electronic Engineering, University College Dublin

Dec 7, 12:00 - 13:00

B9 L2 R2325

Nov 30 - Dec 6, 2025

Will AI Replace Professors?

Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego

Dec 4, 12:00 - 13:00

B2/B3 L0 A0215

First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data

Arto Maranjyan, Ph.D. Student, Computer Science

Dec 4, 08:30 - 11:00

B4/5 L0 A0215

machine learning optimization asynchronous algorithms Training

I/O Coordination for Better Resource Sharing - From HPC to AI Storage

Xiaosong Ma, Department Chair and Professor of Computer Science, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Dec 1, 12:00 - 13:00

B9, Level 2, Room 2325

ai storage

Nov 23 - Nov 29, 2025

Balancing Accuracy and Efficiency: Compact Representations for Flow and Multivariate Visualization

Amani Ageeli, Ph.D. Student, Computer Science

Nov 25, 10:00 - 12:00

B3 L5 R5220

Scientific Visualization real-time rendering computer graphics interactive visualization large datasets multivariate functional data

Training Neural Networks at Any Scale

Volkan Cevher, Associate Professor, School of Engineering, Swiss Federal Institute of Technology (EPFL), Switzerland

Nov 24, 12:00 - 13:00

B9 L2 R2325

machine learning Numerical simulation and analysis Reinforcement Learning deep learning optimization

KAUST Workshop on Distributed Training in the Era of Large Models

Nov 24 - 26, All day

Auditorium between B4 & 5, L0, R0215

machine learning Distributed algorithms generative models ML

Nov 16 - Nov 22, 2025

Observer-Relative Flow Visualization and Objective Feature Extraction

Xingdi Zhang, Ph.D. Student, Computer Science

Nov 19, 16:30 - 18:00

B1 L4 R4214

visual computing scientific computing deep learning

Gaussian Splatting: A Novel Paradigm for 3D Scene Representation and Rendering

Ivan Viola, Professor, Computer Science

Nov 17, 12:00 - 13:00

B9 L2 R2325

Nov 9 - Nov 15, 2025

First Provably Optimal Asynchronous SGD for Homogeneous and Heterogeneous Data

Arto Maranjyan, Ph.D. Student, Computer Science

Nov 13, 12:00 - 13:00

B9 L2 R2325

machine learning optimization asynchronous algorithms Training

KAUST-CEMSE-CS-Graduate-Seminar-Athman-Bouguettaya-Service-Based-Approach-Drone-Service-Delivery-Skyway-Networks.jpg

A Service-Based Approach to Drone Service Delivery in Skyway Networks

Athman Bouguettaya, Professor, School of Computer Science, The University of Sydney

Nov 10, 12:00 - 13:00

B9 L2 R2325

drones optimization Quality of service

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Victor-Ceballos-Inza

On adopting Gauss maps into geometry tools for Computer-Aided Design

Victor Ceballos Inza, Ph.D. Student, Computer Science

Nov 10, 11:30 - 13:00

B1, L3, R3426

gauss maps computer-aided design

AI-Driven Smart Wearables in Health and Sport Application

Luyao Yang, Ph.D. Student, Networking Research Lab

Nov 10, 09:00 - 11:00

B1 L3 R3119

smart health

Nov 2 - Nov 8, 2025

Don’t be the Jean-Claude Van Damme of Your Research Area

Ahmed El-Roby, Associate Professor, School of Computer Science, Carleton University

Nov 3, 12:00 - 13:00

B9, L2, R2325

Oct 26 - Nov 1, 2025

Ringleader ASGD: The First Asynchronous SGD with Optimal Time Complexity under Data Heterogeneity

Arto Maranjyan, Ph.D. Student, Computer Science

Oct 28, 14:30 - 15:30

B1 L3 R3119

BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training

Laurent Condat, Senior Research Scientist, Computer Science

Oct 27, 12:00 - 13:00

B9 L2 R2325

optimization Distributed algorithms Signal and Image Processing

Oct 12 - Oct 18, 2025

Bio-Inspired Consensus Enabledby Distributed Active Perception

Fumin Zhang, Chair Professor and Director, Cheng Kar-Shun Robotics Institute, Hong Kong University of Science and Technology

Oct 13, 12:00 - 13:00

Auditorium (between Buildings 4 and 5), Level 0, Room 0215

Oct 5 - Oct 11, 2025

FIFA Research Institute

Silvio Giancola, Research Scientist, Image and Video Understanding Lab

Oct 6, 12:00 - 13:00

B9 L2 R2325

AI Sports FIFA

Sep 28 - Oct 4, 2025

Robotics at KAUST

Eric Feron, Professor, Electrical and Computer Engineering

Sep 29, 12:00 - 13:00

B9 L2 R2325

robotics

Sep 21 - Sep 27, 2025

Advice and Comments About Research

Peter Wonka, Professor, Computer Science

Sep 22, 12:00 - 13:00

B9 L2 R2325

academic life

Sep 14 - Sep 20, 2025

From the Ball-Proximal (Broximal) Point Method to Efficient Training of LLMs

Peter Richtarik, Professor, Computer Science

Sep 15, 12:00 - 13:00

B9 L2 R2325

AI machine learning optimization algorithms LLM

Sep 7 - Sep 13, 2025

Building a Safer and More Equitable Internet in the Age of AI

Zafar Qazi, Associate Professor, Computer Science, Lahore University of Management Sciences (LUMS)

Sep 8, 12:00 - 13:00

B9 L2 R2325

Aug 31 - Sep 6, 2025

Revolutionizing Datacenter Networks via Reconfigurable Topologies

Stefan Schmid, Professor, Computer Science, Technische Universität Berlin

Sep 1, 12:00 - 13:00

B9 L2 R2325

Aug 24 - Aug 30, 2025

Visual Analytics for Macromolecular Science

Deng Luo, Ph.D. Student, Computer Science

Aug 25, 14:00 - 16:00

B1 L2 R2202; Zoom Meeting 96140008642

bioinformatics artificial intelligence nanovisualization

Jul 6 - Jul 12, 2025

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Lijie-Hu-Towards-Usable-and-Useful-Explainable-A

Towards Usable and Useful Explainable AI

Lijie Hu, Ph.D. Student, Computer Science

Jul 7, 17:00 - 19:00

B3 L5 R5220

explainable AI Large Language Models multimodal models

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Xiaochuan-Gou-Explainability-and-Efficiency-in-Spatio-Temporal-Models

Explainability and Efficiency in Spatio-Temporal Models: Applications to Traffic Forecasting

Xiaochuan Gou, Ph.D. Student, Computer Science

Jul 6, 15:00 - 18:00

B5 L5 R5209

traffic forecasting Graph Neural Networks model interpretability

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Lijie-Zihang Xiang-Modern-Privacy-preserving-Machine-Learning

Modern Privacy-preserving Machine Learning: Rigorous Approach for Data Privacy

Zihang Xiang, Ph.D. Student, Computer Science

Jul 6, 10:00 - 12:00

B3 L5 R5216

privacy-preserving machine learning Differential privacy Federated learning

May 25 - May 31, 2025

The Many Faces of Compression: Theory and Practice in Federated Optimization

Elnur Gasanov, Ph.D. Student, Computer Science

May 28, 10:00 - 12:00

B3, L5, R5209

compression methods communication efficiency proximal algorithms

May 18 - May 24, 2025

Bridging AI and Spatial Biology to Navigate Biological Landscapes

Haoyang Li, Ph.D. Student, Computer Science

May 20, 11:00 - 13:00

B3 L5 R5209; Zoom Meeting 2343423945

AI artificial intelligence Computational biology bioinformatics spatial transcriptomics

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Juexiao-Zhou

Towards Privacy-preserving Artificial Intelligence (PAI) for Healthcare and Bioinformatics

Juexiao Zhou, Ph.D. Student, Computer Science

May 20, 09:00 - 11:00

B3, L5, Room 5209

privacy-preserving AI Federated learning healthcare applications

May 11 - May 17, 2025

Data–Driven Mining of Causal Disease Relations to Enhance Disease Centric Predictions

Sumyyah Toonsi, Ph.D. Student, Computer Science

May 15, 10:00 - 11:00

B4 L5 R5209

Error Feedback for Communication-Efficient First and Second-Order Distributed Optimization: Theory and Practical Implementation

Konstantin Burlachenko, Ph.D. Student, Computer Science

May 12, 12:00 - 13:00

B9 L2 R2325

Federated learning software development

May 4 - May 10, 2025

Optimization Methods and Software for Federated Learning

Konstantin Burlachenko, Ph.D. Student, Computer Science

May 8, 19:00 - 21:00

B5 L5 R5209

Spatiotemporal Machine Learning for Real-world Complex Systems: Enhancing Smart Transportation with Robust AI

ZIyue Li, Assistant Professor, Information Systems Department, University of Cologne, Germany

May 8, 13:00 - 14:00

B1 L4 R4214

Modeling and Simulation of Carbon Dioxide Storage in Geological Layers

Shuai Lu, Ph.D. Student, Computer Science

May 8, 12:00 - 14:00

B2 L5 R5220

Current and Future Challenges and Solutions in AI & HPC System and Thermal Management

Dr. Gamal Refai-Ahmed, Senior Fellow & Chief Architect, AMD Member of U.S. National Academy of Engineering Life Fellow, Canadian Academy of Engineering Fellow, Engineering Institute of Canada Fellow & Distinguished Lecturer, IEEE Life Fellow, ASME

May 6, 13:00 - 17:00

B4 L5 R5209

The 2025 Iberian Blackout: Anatomy of a Grid Collapse

Charalambos (Harrys) Konstantinou, Associate Professor, Electrical and Computer Engineering

May 6, 09:00 - 11:00

B9 L2 R2322

renewable energy resilience power grid

Relations between Decision Trees and Decision Rule Systems

Kerven Durdymyradov, Postdoctoral Research Fellow, Computer Science

May 4, 11:00 - 13:00

B5 L5 R5220

decision trees machine learning

On Complexity of Decision Trees for Decision Tables from Closed Classes

Azimkhon Ostonov, Postdoctoral Research Fellow, Computer Science

May 4, 09:00 - 11:00

B5 L5 R5220

decision trees machine learning

Apr 27 - May 3, 2025

Towards Trustworthy News Recommendation Systems

Manal A. Alshehri, Ph.D. Student, Computer Science

May 1, 17:00 - 19:00

B3 L5 R5209

machine learning artificial intelligence personalized recommendations Generative Adversarial Networks

On Singular Equations Modeling Electrostatic MEMS

Katerina Nik, Assistant Professor, Applied Mathematics and Computational Science

Apr 28, 12:00 - 13:00

B9 L2 R2325

MEMS free boundary problems

Apr 20 - Apr 26, 2025

Advancing Security Red-Teaming in Cyber-Physical Systems via AI-Driven Side-Channel Analysis

Tao Ni, Postdoctoral Fellow, Department of Computer Science, City University of Hong Kong, Hong Kong

Apr 23, 12:00 - 13:00

B9 L3 R3223

cybersecurity IoT cyber-physical systems

The Earliest Arrival of Quantum Utility

David Keyes, Professor, Applied Mathematics and Computational Science

Apr 21, 12:00 - 13:00

B9, L2, R2325

Towards Full Information Transformation in Deep Learning: A Study in Neural Machine Translation and Vision on Next-Generation Language Foundation Models

Dr. Liang Ding

Apr 20, 12:00 - 13:00

B9 L3 R3223

Apr 13 - Apr 19, 2025

Towards Safe, Factual, and Empathetic Human-AI Interaction

Yuxia Wang, Postdoctoral Researcher, Natural Language Processing department, Mohamed bin Zayed University of Artificial Intelligence

Apr 16, 12:00 - 13:00

B9 L3 R3223

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization

Kai Yi, Ph.D. Student, Computer, Electrical and Mathematical Sciences and Engineering

Apr 14, 18:00 - 20:00

B5 L5 R5209

Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence

Ibrahim Abdelaziz, Senior Research Scientist, IBM

Apr 13, 16:00 - 17:00

B2/3 L0 R0215

LLM machine learning artificial intelligence AI

Apr 6 - Apr 12, 2025

Architecture and System Co-Design for High-performance LLM Inference and Training

Jingwen Leng, Professor, Department of Computer Science and Engineering, Shanghai Jiao Tong University

Apr 7, 11:00 - 12:00

B9 L2 R2325