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-based systems Background in topology optimization and structural design Experience in thermomechanical characterization of polymer materials Demonstrated experimental capabilities and a strong
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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of disruptive power converter topologies, enabled by wide bandgap semiconductors and cutting-edge digital control. These innovations enhance efficiency, power density, reliability, cost-effectiveness, and
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community should be aware of our group. Published paper in a top computational journal, such as Computational Physics. 3) Months* 13-15 (extension) At this stage, a full 3D topology and fiber optimization
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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on efficiency, power density, and circuit dynamic response. The research will concentrate on creating novel circuit topologies, optimizing electronic components and revolutionizing their integration and packaging
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of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based