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KAUST researchers win inaugural MCIT Digital Innovation Award

KAUST · · Notable

Summary

A team of KAUST researchers led by Abdulwahab Felemban won first place in the Digital Research track at the inaugural Digital Innovation Awards from MCIT for their AI-driven water tap, Smart-Tap. Smart-Tap uses AI to personalize water flow and pressure, reducing waste by up to 43% compared to infrared taps. The project was inspired by the water waste observed during the Wudu ritual. Why it matters: This award highlights the potential of AI-driven solutions developed in Saudi Arabia to address critical sustainability challenges like water conservation, aligning with the Kingdom's National Water Strategy 2030.

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KAUST ·

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KAUST scientists win prestigious Gauss Award for supercomputing excellence

KAUST ·

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KAUST celebrates outstanding success at 2025 Geneva Exhibition of Inventions

KAUST ·

KAUST faculty received multiple gold and silver medals at the Geneva International Exhibition of Inventions 2025. Professor Dana Alsulaiman won the IFIA Best Invention Award for "Bio-MXenes," a portable biosensor for detecting microRNA cancer biomarkers from liquid biopsies. Other awarded projects included super-resolution imaging of ferromagnetic tubulars and rapid Zika virus detection. Why it matters: The awards highlight KAUST's role as a hub for groundbreaking research, especially in medical diagnostics and AI-enhanced imaging.

KAUST Ph.D. student Jinhui Xiong wins best paper award

KAUST ·

KAUST Ph.D. student Jinhui Xiong won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization in Germany for his paper "Stochastic Convolutional Sparse Coding". The paper, co-authored with KAUST Professors Peter Richtárik and Wolfgang Heidrich, introduces a novel stochastic spatial-domain solver for Convolutional Sparse Coding (CSC). The proposed algorithm outperforms state-of-the-art solutions in terms of execution time and offers an improved representation for learning dictionaries from sample images. Why it matters: This award recognizes significant research in efficient image representation and dictionary learning, contributing to advancements in visual computing and AI at KAUST.