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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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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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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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effective solution to mitigate GHG emissions that can be deployed at large scales. CCS may enable the industry to continue operating with reduced environmental footprint. The objective of this project is to
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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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university dedicated to advancing scientific and technological education and research. KAUST addresses problems of human need, social advancement, and environmental sustainability. With a strong stand in the