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of the research project is to develop a fiber-optic stress sensor into a more compact, more useful device. This will be accomplished by miniaturizing elements of the device by designing a photonic integrated
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learning models and embed models in smartphones. RA isexpected to collect data from human subjects and process data. Stroke patients using smartphone sensors. New ML modelswill be investigated for modeling
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will learn machine learning methodologies and assist in developing algorithms for real-world applications, including health monitoring and diagnosis. The role also required attending weekly meetings
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on data gathered with wrist/ankle inertial sensors and video recordings • Conduct statistical analysis of data • Design graphs of findings Dissemination of Findings • Assist the Supervisor, PI, and Co-PI