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to study the interaction between behavioral goals, life experience, and sensory processing. Our experiments merge a range of approaches, including large-scale multi-area in vivo neural recording, wireless
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on the physical layer design of programmable metasurfaces enabled wireless communication systems. The candidate will investigate the role of programmable metasurfaces as reconfigurable holographic surfaces (RHSs
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mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
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experience with deep learning frameworks (e.g., PyTorch) Experience in working with time-series data Good understanding of Internet of Things, wireless communication network and systems Strong publication
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systems, intelligent and autonomous systems; machine learning; environmental sensing; and wireless communications. The EE department has strong support from the College of Engineering and UTA administration
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structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and authenticates techniques to achieve better designs of composite
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macroscopic response: Toughing mechanism using surface on involume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and
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variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline/Online. The Composites Lab develops and