Develop and experimentally evaluate end-to-end sensing architectures connecting sensing devices, edge gateways, and cloud services under bandwidth, connectivity, power, and sensor heterogeneity constraints.
Build experimental firmware, software, and integrated system prototypes, and design controlled experiments and field evaluations to investigate technical uncertainties and benchmark performance against relevant research baselines and commercial solutions.
Provide scientific and technical leadership across algorithm, embedded systems, and software R&D, and work with product and engineering teams to define research questions, measurable objectives, milestones, and evaluation criteria.
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Providing technical and administrative support during course implementation, including assisting with student laboratory activities, troubleshooting, user testing, and the collection of student feedback;
Supporting project evaluation activities, including data collection, data processing, literature reviews, analysis of student feedback, and the preparation of progress or final reports; and
Performing any other research, teaching support, or administrative duties as assigned.
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