KAUST Professor Marc Genton has been selected as the 2020 Georges Matheron Lecturer of the International Association for Mathematical Geosciences. Genton will present a lecture at the 36th International Geological Congress in Delhi, India, focusing on geostatistics, climate model outputs, and the ExaGeoStat software developed at KAUST. His lecture will cover Matheron's theory of regionalized variables and showcase ExaGeoStat, a high-performance software for geostatistics with exascale computing capability developed at KAUST. Why it matters: This recognition highlights KAUST's contributions to advanced statistical methods and high-performance computing in geosciences, enhancing its international reputation in these fields.
Yuan-Kai Liu, a master’s student from KAUST, received the Outstanding Student Poster and PICO Award at the European Geosciences Union General Assembly 2017 for his poster on caldera ring-fault development. Liu's poster presented results from analogue experiments, including deformation characteristics from time-resolved digital image correlation and 3-D spatial photogrammetry data. His research focuses on ground deformation analyses of subsiding calderas, combining analogue experiments with numerical modeling. Why it matters: This award recognizes KAUST's contribution to earth science and engineering and highlights the university's focus on innovative research in geophysics.
KAUST Professor Carlos M. Duarte was awarded the 2016 Vladimir Ivanovich Vernadsky Medal by the European Geosciences Union (EGU). The medal recognizes Duarte's outstanding contributions to biogeosciences as the Tarek Ahmed Juffali Research Chair in Red Sea Ecology. Duarte's research focuses on the impacts of global change in marine ecosystems. Why it matters: This award highlights KAUST's contribution to global research in marine science and environmental sustainability, enhancing its reputation as a leading institution in these fields.
KAUST researchers from statistics and earth science collaborated to improve earthquake source modeling. They developed a statistical ranking tool to classify 2D fields, applicable to geoscience models like temperature or precipitation. The tool helps compare different 2D fields describing the earthquake source process and quantify inter-event variability. Why it matters: This cross-disciplinary approach enhances the reliability of earthquake rupture models, contributing to better hazard assessment and risk management in seismically active regions.
KAUST researchers collaborated on a study in Iceland that found a correlation between changes in groundwater composition and earthquakes greater than magnitude 5. The study, published in Nature Geoscience, observed variations in dissolved element concentrations and stable isotopes prior to seismic events in 2012 and 2013. Earthquake prediction remains a challenge with differing views among scientists about its feasibility. Why it matters: Understanding earthquake precursors could lead to improved risk mitigation strategies for urban infrastructure in seismically active regions across the Middle East.