Hanin Ahmed, a KAUST Ph.D. graduate in plant science, is now an Ibn-Rushd Postdoctoral Fellow at The Centre for Anthropology and Genomics of Toulouse, France. Her Ph.D. research at KAUST focused on the population genomics and evolutionary history of fonio millet and einkorn wheat. One key finding was the influence of ethnic groups on the genetic diversity of fonio millet, and insights into wheat adaptation during early agriculture from einkorn wheat research published in Nature. Why it matters: This highlights KAUST's role in training researchers who are contributing to advancements in genomics and agriculture, with implications for crop improvement and understanding the impact of social factors on plant genetics.
Janet Kelso from the Max Planck Institute and Sudhir Kumar from Temple University discussed evolutionary biology in a KAUST Facebook Live interview. Kelso's research focuses on interactions between modern humans and Neanderthals, finding similarities in DNA and benefits for environmental adaptation. Kumar's work, highly cited, involves big data analyses in evolutionary biology. Why it matters: The interview highlights KAUST's engagement with international experts in bioinformatics and evolutionary biology, promoting interdisciplinary research and knowledge dissemination.
KAUST researchers are studying ancient supervolcanoes, like the Toba eruption 75,000 years ago, to understand current and future climate conditions. Volcanic eruptions serve as natural experiments that push the climate system to its limits, helping scientists understand climate's physical mechanisms. Research shows that volcanic eruptions delayed global warming by about 30% starting from 1850. Why it matters: Understanding the impact of volcanic activity on climate change can improve predictions of future global warming, particularly in regions like the Middle East which are strongly affected by volcanic events.
KAUST researchers are using AI to analyze satellite imagery for the automated detection of ancient stone structures in northwest Saudi Arabia, including mustatils (rectangular structures dating to the late 6th millennium BCE) and ruins in circular and triangular shapes. They developed a deep learning algorithm trained on manually identified datasets to isolate similar features over a wide area. The tool converts detected pixels into geodetic coordinates using GPS, assembling them into an online map and database. Why it matters: This project exemplifies computational archaeology, speeding up archaeological discoveries, promoting cultural heritage, and providing a methodology useful to other sectors of the economy.