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King Abdullah University of Science and Technology
Applied Mathematics and Computational Sciences
AMCS
Applied Mathematics and Computational Sciences
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Innovating Through Research and Education

The Applied Mathematics and Computational Sciences (AMCS) Program provides students with conceptual and practical knowledge for dealing with challenges of modern science. The Program is a passport for interdisciplinary research, living at the crossroads of a wide range of scientific disciplines and offering tools to understand phenomena that are either too complex, expensive, unethical or difficult to investigate with practical experiments.

Watch KAUST AMCS welcome video by Professor Diogo Gomes on YouTube.

Faculty and Groups

Browse our faculty profiles and research groups to explore their expertise, research interests and impactful contributions that drive innovation and discovery at KAUST.

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Faculty Profiles

Research Groups

Research Areas

The AMCS Program at KAUST combines mathematics, modeling, and computational science to solve real-world problems. AMCS researchers innovate across various fields, with key research areas including:

Applied Probability and Uncertainty Quantification
Mathematical Modeling 
Mathematics of Data Science, Machine Learning and Optimization
KAUST-CEMSE-ECRC-Compress to impress with AI hardware
Numerical Analysis and High-Performance Computing
Partial Differential Equations and Applied Analysis 

Looking for Hands-On Research Opportunities?

The KAUST Visiting Student Research Program (VSRP) offers opportunities for undergraduate and master’s students to participate in cutting-edge research projects , work alongside our leading experts and gain valuable hands-on experience in their field.

Explore VSRP opportunities and application process

News

Decision Trees Versus Systems of Decision Rules

New book by KAUST Ph.D. students Kerven Durdymyradov, Azimkhon Ostonov and Professor Mikhail Moshkov published by Springer

1 min read · Thu, Jan 16 2025

News

decision trees combinatorial optimization Combinatorial machine learning machine learning machine learning algorithm

aerial-shot-of-wind-generator-turbines

Accounting for extreme weather to boost energy system reliability

1 min read · Mon, Jan 13 2025

News Clip News

extreme weather renewable energy solar power NEOM energy storage

KAUST Commencement 24

Record number of Saudi students graduate from KAUST in 2024

1 min read · Fri, Dec 13 2024

News Clip News

commencement

more

Upcoming Events

Stochastic Numerics and Statistical Learning Workshop

Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2025

May 18, 09:00 - May 25, 15:30

Auditorium 0215 between B2 & B3

stochastic algorithm statistical learning machine learning

KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Elnur-Gasanov

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

Elnur Gasanov, Ph.D. Student, Applied Mathematics and Computational Sciences
May 28, 10:00 - 12:00

B3, L5, R5209

compression methods communication efficiency proximal algorithms

more

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Applied Mathematics and Computational Sciences (AMCS)

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