King Abdullah University of Science and Technology

King Abdullah University of Science and Technology (KAUST) is a private research university located in Thuwal, Saudi Arabia. KAUST was founded in 2009 and focuses on graduate education and research, using English as the official language of instruction. It offers programs in Biological and Environmental Science and Engineering; Computer, Electrical and Mathematical Science and Engineering; and Physical Science and Engineering. It was announced in 2013 that KAUST had one of the fastest growing research and citation records in the world.

Website
https://www.kaust.edu.sa/en
Wikipedia
https://en.wikipedia.org/wiki/King_Abdullah_University_of_Science_and_Technology
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Energy & Green Tech

Blueprint may power up Saudi Arabia's wind energy future

A five-year study of wind energy potential in Saudi Arabia has culminated in a comprehensive blueprint for progressing the Kingdom's national wind energy strategy. Exhaustive high-resolution modeling was combined with a unique ...

Energy & Green Tech

A cool approach to defect-free solar cells

Chemists regularly use high temperatures to make things happen, but sometimes keeping cool can work better. Researchers at KAUST are discovering that a low-temperature approach can make better single crystals for use in solar ...

Energy & Green Tech

Moisture-sucking gels give solar panels the chills

A cooling system developed at KAUST has improved the efficiency of a prototype solar panel up to 20 percent and requires no external energy source to operate.

Internet

The power of light for internet of underwater things

A system that can concurrently transmit light and energy to underwater energy devices is under development at KAUST. Self-powered internet of underwater things (IoUT) that harvest energy and decode information transferred ...

Computer Sciences

Approximating a kernel of truth

By using an approximate rather than explicit "kernel" function to extract relationships in very large data sets, KAUST researchers have been able to dramatically accelerate the speed of machine learning. The approach promises ...

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