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, statistical learning, and deep learning - Applications in environmental and life sciences Here are a few recent publications from the group, which form the basis of some of the upcoming research projects
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Environment exposed to high pressure / high temperature / mechanical and environmental loading. Develop accelerated multiscale approaches using AI-based scale transition and homogenization. Develop AI-based
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configurations in Energy applications. Lead the development of a unique experimental platform for in-situ characterization under environmental loading of laminated structures. Plan and execute research tasks
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holding a PhD in chemical, environmental or process engineering, to apply for a full-time post-doctoral fellowship position in the field of water desalination, focusing on the development of an artificial
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, AISTATS, CVPR, ICCV, ACL, EMNLP, etc. Our group is embedded in the BESE (Biological and Environmental Science and Engineering) division, which supports and promotes a rich multi-disciplinary work
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and Environmental Sciences and Engineering (BESE) Division at the King Abdullah University of Science and Technology (KAUST) (https://www.kaust.edu.sa/en/study/faculty/david-gomez-cabrero ). The project
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that fosters interdisciplinary eorts, core facilities equipped with cutting-edge technology, and generous baseline funding at the KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY (KAUST) , we are ready to