AI

KAUST, in collaboration with MCIT, to host the second edition of the MENA Machine Learning Winter School (MenaML)

1 min read ·
A week of advanced instruction and exchange for emerging machine learning talent.

Data-driven Anomaly Detection in Industrial Processes

-

B9 L2 R2325

This talk presents a model-based anomaly detection framework, along with data-driven process monitoring approaches based on multivariate statistical methods and artificial intelligence techniques.

From Dialects to Peptides: Scalable and Efficient AI for People

-

B9 L2 R2325

This talk presents a unified AI framework for decoding complex human and biological signals - spanning African and Arabic dialects to proteomics - by prioritizing rigorous measurement, cultural competence, and computational efficiency to ensure global scalability and accessibility.

Anwar Alshaibani

Anwar Alshaibani > Appointments, Roles and Affiliations
Visiting student at King Abdullah University of Science and Technology (KAUST).

Uncertainty-Aware Learning: From Bayesian Neural Networks to Agentic Decision Making

-

B4/5 L0 A0215

This talk points out that uncertainty quantification is important for reliable AI, and that modern machine learning should be viewed through the lens of probabilistic decision making.

Thoughts About Machine Learning

-

B9, Lecture Hall 1, R-2322

A weekly seminar series exploring advanced AI concepts that go beyond the scope of standard deep learning courses.

KAUST showcases its smart health technologies at global forum

1 min read ·
Through AI, smart sensors, and computational biology, KAUST is transforming healthcare with practical solutions that address critical health needs in Saudi Arabia and beyond.

Nanbo Li

Postdoctoral Research Fellow, Computer Science
Nanbo Li is a Postdoctoral Fellow working in Prof. Jürgen Schmidhuber research group at the King Abdullah University of Science and Technology (KAUST) Center of Excellence for Generative AI.

Overcoming Catastrophic Forgetting: From Efficiency to Safety

-

B3 L5 R5220

This thesis addresses the challenge of catastrophic forgetting in AI by developing novel continual learning methods that enhance memory efficiency in video analysis and preserve safety alignment in large language models, ensuring reliable adaptation in both resource-constrained and safety-critical applications.

Mathematical Imaging in the Era of AI

-

B1 L23 R3119

In this talk, I will present mathematical imaging as a meeting point of classical analysis and modern AI. I will highlight how ideas from optimisation and mathematical modelling can guide the development of structure-preserving deep learning methods, offering new, principled approaches to large-scale inverse imaging problems.

Nuclear Fusion Powered by AI and HPC

-

B9 L2 R2325

This talk presents advanced simulations with AI-driven optimization to improve the performance of a next-generation plasma-jet-driven magneto-inertial fusion concept.

KAUST researcher proves the power of homegrown talent on the world stage

1 min read ·
A look into KAUST Ph.D. candidate Mohammed Aljahdali’s journey and the FLTA Best Paper award recognizing his work in federated learning.

Artificial intelligence takes to the skies to protect a Saudi tradition

1 min read ·
KAUST scientists develop an affordable and simple AI system for local camel herders

AI and Mathematics: Efficient Machine Learning Algorithms Inspired by Dynamical Systems, Complex Analysis, and Embedding Theory

-

B9 L3 R3120

This talk describes a novel machine learning algorithm, inspired by complex analysis and dynamical systems theory, that significantly improves efficiency in solving partial differential equations and scientific computing, while providing a theoretical framework for reconstructing complex, unknown systems from partial observational data.

Deloitte and KAUST join hands to explore AI applications in Saudi Arabia

2 min read ·
Partnership will focus on research, education, and real-world AI solutions to help advance Vision 2030

FIFA Research Institute

-

B9 L2 R2325

AI Sports FIFA

This talk will trace the journey from SoccerNet to the creation of the FRI, highlight ongoing projects that bridge cutting-edge research with real-world impact, and discuss what lies ahead at the intersection of AI and sports.

AI for Science: AI-Driven Knowledge Discovery

-

B1 L3 R3119

This talk focuses on the latest progress in this area, often called AI for Science, and specifically on how AI is revolutionizing scientific exploration and the uncovering of fundamental physical laws.

AI speeds up human embryo model research

1 min read ·
Deep-learning tool outperforms human experts at classifying lab-grown embryo-like structures, enabling advances in developmental biology and drug discovery.

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

-

B1 L3 R3119

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

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

-

B9 L2 R2325

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

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

-

B9 L2 R2325

This talk introduces the Ball-Proximal Point Method, a new foundational algorithm for non-smooth optimization with surprisingly fast convergence, and Gluon, a new theoretical framework that closes the gap between theory and practice for modern LMO-based deep learning optimizers.

Bridging AI and Spatial Biology to Navigate Biological Landscapes

-
This thesis presents several studies by proposing AI-driven methods to supply a comprehensive and precise representation of biological landscapes via spatially resolved transcriptomics (SRT) data.

SAAI for Kids hackathon introduces Saudi youth to creative uses of AI

3 min read ·
More than 200 students joined KAUST’s SAAI Hackathon to explore AI in art, music and design

AI for Chips and Chips for AI

-

B9 L2 R2325

This seminar presents a unified "AI for Chips & Chips for AI" approach, demonstrating how AI enhances semiconductor design while specialized silicon accelerates AI computation, creating a rapid innovation cycle.

Rising stars, global impact: KSA at the forefront of AI innovation

1 min read ·
KAUST showcases global AI talent to power Saudi Arabia’s rise as a hub for innovation and leadership in artificial intelligence.

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

-

B2/3 L0 R0215

This talk presents advancements in agentic AI, focusing on creating and utilizing datasets and models that enable Large Language Models to effectively interact with external tools for real-world applications.

SAAI Factory 3

-

Buildings 20 and Buildings 19

SAAI Factory 3 brings together artists, researchers and youth to explore AI and art at KAUST.
Rising Stars in AI" Symposium 2025

Rising Stars in AI Symposium 2025

-

Building 19, Halls 1, 2 and 3

AI

Join KAUST's Rising Stars in AI Symposium 2025, bringing together exceptional emerging talent shaping the future of AI research and innovation.

KAUST developing robotic system to improve date palm harvesting

1 min read ·
Combination of AI and robotics positions Saudi Arabia to transform date farming.
kaust-iit-collaboration-life-sciences-nanotechnology-research

KAUST collaboration to benefit life sciences and nanotechnology research

1 min read ·
KAUST and IIT unite to enhance research in life sciences, AI, robotics and nanotech, driving innovation through collaboration.
optoelectronic device can adapt to light

Artificial neurons enable neuromorphic computing with light

1 min read ·
An adaptive capacitor that can sense and learn through optical stimuli enables learning and recognition tasks.
AI tool maps hidden links between diseases

AI tool maps hidden links between diseases

1 min read ·
Understanding how diseases trigger one another could lead to better treatments, prevention strategies and improved genetic risk prediction.
Olga Krestinskaya

International recognition for KAUST Ph.D. candidate Olga Krestinskaya

3 min read ·
Olga Krestinskaya, a KAUST Ph.D. student, wins Best Poster at the 2024 Nature Neuromorphic Computing Conference for her work on energy-efficient AI hardware.
Sustainable solutions in water conservation

KAUST-Engineered tool drives sustainable solutions in water conservation

3 min read ·
KAUST’s startup EcoStream cuts water waste by 50% while promoting affordability and sustainability, winning the 2024 StartSmart prize.

Aznaur Aliev

M.S. Student

Mhd. Emad Alolaby

Mohammed A Shukri

Technical Consultant at KAUST (King Abdullah University of Science and Technology).

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

-

B3 L5 R5209

Abstract The accurate numerical prediction of complex processes in medicine, science, and engineering requires a well balanced interplay of mathematical models, numerical methods, and scientific software. In this talk, we discuss along different examples from engineering, earth-sciences, and medicine the various challenges in building predictive models. Our focus will be on the algorithmic aspects, i.e. on the numerical methods, -may it be finite elements or neural networks in the context of massive parallelism. We will present in particular parallel preconditioners for non-linear problems

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Lama Alssum

Ph.D. Student, Computer Science
Lama Alssum is a Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST) working in Professor Bernard Ghanem research group Image and Video Understanding Lab (IVUL).

Hamzeh Abu Qamar

MS Student, Electrical, Electronics and Communications Engineering at King Abdullah University of Science and Technology (KAUST).