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learning algorithms for the design of nanophotonic structures, Contribute to publishing results in scientific journals and national and international conferences, Working alongside principal investigator
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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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machine learning models and embed models in smartphones. UGA is expected to develop models for App and collect data from Stroke patients using smartphone sensors. New ML models will be investigated
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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
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result interpretation after data analysis. Write up machine learning algorithms under the supervision of PI, Statistical Research Programmer(s) and external collaborators. Required Qualifications BA/BS in