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range of topics including atmospheric deep convection, extra-tropical cyclones, heat waves, ensemble prediction and algorithmic parameter estimation techniques as well as future changes to our weather
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filtering. These torque estimation methods allow much more freedom in sensor placement and reduce the number of sensors needed to characterize the full torsional response of the powertrain. This project
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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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predict scene state as conditions change. The research will focus on multimodal perception (vision–language models), probabilistic state estimation and 3D mapping/SLAM, and graph-based representations
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will focus on multimodal perception (vision–language models), probabilistic state estimation and 3D mapping/SLAM, and graph-based representations (scene/knowledge graphs). The work is funded by a
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Engineer in the <b>Center</b> for Interdisciplinary Data Science and Artificial Intelligence Abu Dhabi, United Arab Emirates Senior Strategic Advisor Camperdown, Australia Post-Doctoral Associate in the Division of Engineering (Electrical and <b>Computer</b> Engineering) Abu Dhabi, United Arab...
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evaluation of the additional losses in the variable-speed electric machines Requirements Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or
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our community. The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and
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actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is