computational science

Applied Mathematics School 2024

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The KAUST Applied Mathematics School is a 1-week visiting program aiming to introduce undergraduate and master's students to special research topics focusing on key areas in applied mathematics and computational science.

KAUST Research Conference Digital Health 2020

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B19 L2 H1

Computational Bioscience Research Center at King Abdullah University of Science and Technology is pleased to announce the KAUST Research Conference on Digital Health 2020.

Low Rank Everywhere (Almost)

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B9 L2 R2322

Tile low-rank and hierarchical low-rank matrices can exploit the data sparsity that is discoverable all across computational science. We illustrate in large-scale applications and hybridize with similarly motivated mixed precision representations while featuring ECRC research in progress with many collaborators.

Making the silent genes speak

1 min read ·
Regulating an overlooked set of genes may help biologists manipulate cells to find new therapy options.

Taking computing to the next level

1 min read ·
KAUST’s new supercomputer will enable ground-breaking scientific modeling and analysis in Saudi Arabia and worldwide.

Finding the Face in the Crowd

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An algorithm that maximizes the difference between data categories achieves high accuracy in classifying faces.

Taking the guesswork out of experimental design

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A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments.

Choosing the right scheme for green communications

1 min read ·
Performance analysis reveals how different resource allocation schemes may impact the energy efficiency of a cognitive radio system.

Bringing computational engineering into the fold

1 min read ·
An interactive computational tool opens new possibilities for "developable" surfaces.

Faster prediction of wireless downtime

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An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.

Sharing movement aids learning

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Automated learning of an individual’s movement patterns shared over mobile and social networks could help us to connect better.

Enhancing understanding of genetic regulation

1 min read ·
Researchers round up clues to track down enhancers.

Filling in the blanks of virtual cities

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New software generates three-dimensional models of buildings, with applications for disaster relief support.

Technology search for relationships

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A sketch-based query for searching for relationships among objects in images could enhance the power and utility of image search tools.

Tunable sound transmission shapes up

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Carefully designed crystal structures can now be tuned to control how they transmit acoustic waves.

Taking graphics cards beyond gaming

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A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem.

Giving power to demand-driven electricity

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A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids.

Tiny speakers break a barrier for sound

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A loudspeaker design could allow small devices to produce powerful low-frequency sounds.

Making loudspeakers resonate like atoms

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Tiny loudspeakers can efficiently produce low-frequency sounds due to effects similar to the quantum physics governing atoms.

Better racing car design through an industry partnership

1 min read ·
The Formula 1 race track is the ultimate testbed for a KAUST researcher's latest work.

Cutting datasets down to size

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A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.

Quieter wind beneath the wings

1 min read ·
The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.

Keep the data coming

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A continuous data supply ensures data-intensive simulations can run at maximum speed.

Georgiy L. Stenchikov

Professor (former), Earth Science and Engineering
Georgiy L. Stenchikov, a former KAUST faculty member, is renowned for his work in climate modeling, atmospheric processes, and volcanic impacts.