computational science

KAUST climate research named finalist for ADIA Lab Climate Data Sciences Award

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KAUST team develops breakthrough method for wind data generation, earning finalist spot for ADIA Lab’s climate science award.

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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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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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

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

Taking computing to the next level

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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

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

Bringing computational engineering into the fold

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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

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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

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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

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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.