KAUST researchers analyzed the genome of strain RS24, a bacterium isolated from the Red Sea. The bacterium, named Candidatus Micropelagos thuwalensis RS24, belongs to the PS1 clade within Alphaproteobacteria. Genome sequencing revealed that RS24 and IMCC14465, while similar, are distinct species of the PS1 clade, containing genomic islands. Why it matters: This study advances understanding of microbial adaptation to extreme marine environments like the Red Sea, providing insights into the structure-function relationships within microbial communities.
A KAUST team led by Hossein Fariborzi won second place in the MEMS Design Contest for their "MEMS Resonator for Oscillator, Tunable Filter and Re-Programmable Logic Applications." The device is runtime-reprogrammable, allowing the function of each device in the circuit to be changed during operation. The KAUST team demonstrated that two MEMS resonators could replace over 20 transistors in applications like digital adders, reducing digital circuit complexity. Why it matters: This innovation could significantly reduce power consumption, chip area, and manufacturing costs in microprocessors, advancing the development of energy-efficient microcomputers in the region.
The 34th General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science (URSI) will be held in Rome from August 28 to September 4. The Technology Innovation Institute’s Directed Energy Research Center (DERC), led by Dr Chaouki Kasmi, will present a tutorial and five scientific papers. DERC's presentations will focus on advances in electromagnetics and optoelectronics. Why it matters: DERC's participation highlights the UAE's growing role in international radio science research and development.
Former Saudi Research Science Institute (SRSI) student Abdullatif, now a junior at Berkeley, published a paper in the Journal of the American Chemical Society (JACS). The paper, "Isomerically Pure Tetramethylrhodamine Voltage Reporters," details the design, synthesis, and application of Rhodamine Voltage Reporters (RhoVRs). Abdullatif, who worked at KAUST during her SRSI program on carbon dioxide capture, plans to return for advanced studies. Why it matters: This highlights KAUST's role in nurturing young Saudi talent in STEM and contributing to high-impact scientific research.
KAUST's Center of Excellence for Generative AI will host the fourth annual "Rising Stars in AI" Symposium from April 7-10, 2025. The symposium is designed for emerging researchers (PhD students, PostDocs, and early career faculty) to discuss AI research. Selected speakers will have their flights and hotel expenses covered. Why it matters: This event provides a platform for young AI researchers to present their work and network with peers, fostering innovation and collaboration in the field.
Red Sea Farms, a KAUST spinout specializing in saltwater greenhouse technology, secured $1.9 million in co-investment from the KAUST Innovation Fund and Research Products Development Company (RPDC). Their system uses saltwater to grow crops, reducing freshwater and energy requirements up to tenfold. The investment will enable the company to build a 2,000 square meter saltwater greenhouse on the KAUST campus, with a goal of producing 50 tons of tomatoes annually by 2020. Why it matters: This investment supports sustainable agriculture innovation in the water-scarce Middle East, offering a model for reducing the environmental impact of food production.
KAUST Professor Håvard Rue was honored by the Royal Statistical Society (RSS) with the Guy Medal in Silver for his work on efficient computational techniques. The award recognizes Rue's contributions to the theory underpinning the INLA software, particularly through two influential papers on approximate Bayesian inference and Gaussian fields. Rue's research focuses on computational Bayesian statistics and Bayesian methodology, with the R-INLA project being a core part of his work. Why it matters: Recognition of KAUST faculty by international organizations highlights the institution's growing prominence in statistical research and computational modeling.
MBZUAI is now ranked 24th globally in AI, computer vision, machine learning, and natural language processing, according to CSRankings. This ranking is attributed to the addition of faculty like Preslav Nakov, Hanan Al Darmaki, and Samuel Horvath. MBZUAI now ranks ahead of universities like the University of Michigan and Imperial College London in specific AI fields. Why it matters: This ranking establishes MBZUAI as the top CS institution in the Arab World and highlights the UAE's growing prominence in AI research.