This paper introduces a hybrid deep learning and machine learning pipeline for classifying construction and demolition waste. A dataset of 1,800 images from UAE construction sites was created, and deep features were extracted using a pre-trained Xception network. The combination of Xception features with machine learning classifiers achieved up to 99.5% accuracy, demonstrating state-of-the-art performance for debris identification.
A KAUST research team led by Prof. Osman Bakr developed a novel antisolvent vapor-assisted crystallization (AVC) method to grow high-quality, crack-free MAPbX3 perovskite single crystals at room temperature. The resulting crystals exceeded 100 mm3 in volume and exhibited exceptionally low trap-state density (approximately 10^9 – 10^10 cm-3). The crystal quality is comparable to high-quality single crystal silicon, but grown at much lower temperatures. Why it matters: This breakthrough allows for more accurate characterization of perovskite photovoltaic properties and can accelerate improvements in solar cell efficiency.
Five students from King Abdullah University of Science and Technology (KAUST) have been selected to participate in the 75th Lindau Nobel Laureate Meeting in Germany, scheduled for June 28 to July 3, 2026. These students, from various fields including electrical and computer engineering, bioengineering, and chemistry, are among only 600 young researchers worldwide chosen for this distinguished intergenerational scientific exchange. KAUST is the sole Saudi institution represented at the prestigious event, which will involve interaction with approximately 75 Nobel Laureates. Why it matters: This selection highlights KAUST's commitment to cultivating exceptional talent and its growing global reputation in science, indicating potential future scientific leadership from the region.
KAUST Professors William Roberts and Robert Dibble were inducted as Fellows of The Combustion Institute (CI) in February. Roberts was recognized for his work on laminar flames, turbulent combustion, and soot formation at elevated pressures. Dibble was inducted for exceptional contributions to developing and using laser diagnostics for combustion research. Why it matters: This recognition highlights KAUST's contributions to combustion research and strengthens its position as a leading institution in the field, attracting top students and researchers.
Dalal Alezi, a Ph.D. student in KAUST's Physical Science and Engineering Division, has received the inaugural PSE Division Student Award. Alezi is a fourth-year Ph.D. candidate. The award recognizes outstanding Ph.D. candidates within the division. Why it matters: The award highlights KAUST's commitment to recognizing and supporting exceptional talent in science and engineering.