Jian Weng’s journey to becoming a researcher began two decades ago when his family acquired their first computer. KAUST’s newest assistant professor of computer science was instantly fascinated by this seemingly “magical device” and quickly became driven by a desire to understand its inner workings.
KAUST SENTRY team dominate CSAW'23 with back-to-back wins in hardware security and robotics challenges.
A simple yet elegant solution could improve data rates for multiple communications networks that share a common frequency band.
Exploring the potential of 6G technology, the 4th KAUST 6G Summit brought together experts to discuss super-connectivity, closing the digital divide, and driving digital inclusion in Saudi Arabia and beyond.
KAUST ECE students shine bright, winning prestigious international awards.
Zhiyuan Liu, a Ph.D. candidate at KAUST, received the Best Student Award at the ICNS-14 conference for his work on fabricating high-performance micro-LEDs using a novel etching-free method called selective thermal oxidation.
An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.
The KAUST 2023 Workshop on Statistics showcased the significant impact of statistics and data science in various fields, including health, the environment, and renewable energy, emphasizing their importance in shaping a better and more sustainable future.
KAUST is proud to announce that the Terragraph Connectivity Project coordinated by the KAUST Communication Theory Lab run by Prof.
A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.
From joining during a pandemic to receiving the Distinguished Teaching Award
Simulations that match patients with chronic kidney disease to suitable donors will enhance the efficacy of the new Saudi National Kidney Donor Exchange Program.
Solid-state radiofrequency reflectors will enable seamless wireless connectivity in the
Hyperloop evacuated-tube transport svstem.
Two papers from KAUST's Visual Computing Center were recognized at IEEE VIS 2023, with one introducing a new method for detecting and visualizing vortex structures in 2D fluid flows, and the other presenting a framework for physicalizing biological structures as 3D-printed models.