Events

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

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 Sciences

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 Sciences

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

Rising Stars in AI Symposium 2025

Apr 7 - 10, All day

Building 19, Halls 1, 2 and 3

SAAI Factory 3

Apr 6, 08:00 - Apr 14, 14:45

Buildings 20 and Buildings 19

artificial intelligence AI art machine learning Hackathon

Mar 16 - Mar 22, 2025

Recent Advances in 3D Computer Vision and Their Applications for Medical Imaging

Abdullah Hamdi, Postdoctoral Research Fellow, Visual Geometry Group; Junior Research Fellow, Kellogg College, University of Oxford

Mar 17, 13:00 - 14:00

Building 9, Level 2, Hall1, Room 2325

Bridging 2D and 3D for Label-Efficient Learning in Scene Understanding

Timo Ropinski, Professor, Institute of Media Informatics, Ulm University, Germany

Mar 17, 12:00 - 13:00

B9 L2 R2325

Mar 2 - Mar 8, 2025

Gaming (in)security

Marc Dacier, Professor, Computer Science

Mar 3, 12:00 - 13:00

B9, L2, R2325

Feb 16 - Feb 22, 2025

mR_LWE-CP-ABE: a Recoverable CP-ABE protocol for Post-quantum Cryptography

Dr. Elia Onofri, Researcher, The Institute of Applied Mathematics of the National Research Council of Italy

Feb 17, 12:00 - 13:00

B9 L2 R2325

Cryptography

Feb 9 - Feb 15, 2025

Spatial Dataflow is all you need!

Jian Weng, Assistant Professor, Computer Science

Feb 10, 12:00 - 13:00

B9 L2 R2325

machine learning RTL computational methods

Surface Tracking for Large-scale Dynamic Foams and Fluids

Aleksei Kalinov, PhD Student at Institute of Science and Technology Austria

Feb 9, 13:00 - 14:30

B1, L2, R2202

Feb 2 - Feb 8, 2025

Metrics, Mayhem, and Microservices: Taming the Cloud Observability Beast

Alessandro Cornacchia, Postdoctoral Fellow

Feb 3, 12:00 - 13:00

B9, L2, R2325

Jan 26 - Feb 1, 2025

Comments about Research in Computer Science

Peter Wonka, Professor, Computer Science

Jan 27, 12:00 - 13:00

B9, L2, R2325

Dec 1 - Dec 7, 2024

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 - Nov 30, 2024

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, Professor, Computer Science

Nov 27, 10:00 - 11:30

B9, L2, R2322

machine learning computing system

Data Augmentation is Regularization

Maurizio Filippone, Associate Professor, Statistics

Nov 25, 12:00 - 13:00

B9, L2, R2325

Jun 2 - Jun 8, 2024

Cellular Mesoscale Visualization from Electron Microscopy Imaging

Ngan Nguyen, Ph.D. Student, Computer Science

Jun 6, 13:00 - 15:00

B1 L4 R4214

May 26 - Jun 1, 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

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 5 - May 11, 2024

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 4, 2024

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