KAUST held a KAUST-U.S. National Science Foundation (NSF) Conference on Environmental Monitoring from November 6 to 8, 2017. The conference focused on sustainability with an emphasis on environmental monitoring and sensing, including data collection, signal processing, and real-time decision-making. Keynote speakers included Ali Sayed (EPFL), Allen Tannenbaum (SUNY Stony Brook), and Dinesh Manocha. Why it matters: Such conferences foster international collaboration and knowledge exchange in applying AI and related technologies to pressing environmental challenges in Saudi Arabia and globally.
KAUST Ph.D. student Matt Tietbohl attended the 11th International Conference on the Applications of Stable Isotope Techniques to Ecological Studies (IsoEcol) in Chile. Over 250 scientists from 34 countries participated in talks and workshops focused on stable isotope analysis in ecology. Researchers presented findings on diverse applications, from human nutrition to the origins of bodies at Stonehenge. Why it matters: Although not directly AI-related, KAUST's participation in international scientific conferences highlights its multidisciplinary research environment and global engagement.
Peiying Hong, an associate professor of environmental science and engineering at KAUST, has won the 2019 James J. Morgan Environmental Science & Technology Early Career Award. The award recognizes her contributions to environmental science, particularly her research on wastewater and its potential for addressing global water scarcity. Hong will receive the award at the 257th American Chemical Society National Meeting & Exposition in Orlando, Florida. Why it matters: This award highlights KAUST's contributions to environmental research and its focus on addressing critical global challenges related to water scarcity and sustainability.
A study co-authored by KAUST researchers and published in Science analyzes the intertwined climate and biodiversity crises, noting that human activities have altered roughly 75% of land and 66% of marine waters. Greenhouse-gas emissions amount to over 55 gigatonnes of carbon dioxide equivalent per year, with global mean temperature increased by over 1.1 degrees Celsius since the preindustrial era. The study proposes an ambitious approach including emissions reduction, restoration, and cross-institutional alliances. Why it matters: This highlights KAUST's contribution to global research on pressing environmental challenges and informs strategies for regional sustainable development initiatives.
KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li received a Distinguished Student Paper Award at the 2018 Eastern North American Region (ENAR) Spring Meeting of the International Biometric Society. Li's paper focused on efficient estimation for non-stationary spatial covariance functions, while Vettori's paper addressed Bayesian hierarchical modelling of air pollution extremes. Both students were recognized for their contributions to statistical environmental studies and air pollution modeling. Why it matters: This award highlights KAUST's commitment to fostering high-quality research and recognizes the achievements of its students in addressing critical environmental challenges.
A group of KAUST students visited the National Wildlife Research Center (NWRC) in Taif as part of the University's 2015 Winter Enrichment Program. The NWRC, established in 1986, focuses on preserving and reintroducing species like the houbara bustard, Arabian oryx, red-necked ostrich, and Arabian leopard. Researchers at the center track released bustards via radio transmitters, collaborating internationally to preserve their habitats. Why it matters: This highlights Saudi Arabia's commitment to wildlife conservation and international collaboration in ecological research, showcasing KAUST's engagement with regional environmental initiatives.
KAUST Ph.D. student Ghulam Qadir received a best poster award at the GRASPA 2019 conference in Italy. The winning poster, titled "Estimation of Spatial Deformation for Non-stationary Processes via Variogram Alignment," was based on Qadir's Ph.D. research project. The research focuses on developing covariance models for multivariate nonstationary random fields with applications to environmental data. Why it matters: This award recognizes KAUST's contribution to environmental statistics and highlights the university's commitment to advancing research in this area.
Gaurav Agarwal, a statistics Ph.D. student in the Environmental Statistics Group at KAUST, is researching statistical methods with environmental applications, such as understanding salt tolerance in plants. He is developing a user-friendly web application to make these methods accessible to those with limited statistical backgrounds. Agarwal also focuses on data visualization and outlier detection techniques for quality control of radiosonde wind data. Why it matters: This research contributes to environmental science by providing accessible statistical tools and methods for analyzing complex environmental data, potentially aiding in addressing challenges like plant resilience and climate monitoring.