Project Grant 2200673

This two-year, $271,557 project grant from the National Science Foundation's Office of Integrative Activities and Integrative Activities program (CFDA 47.083) will support the development of a privacy-preserved data fusion framework for personalized recommendation in an edge-assisted Internet of Things smart health network. The primary products and services include designing and building an application to collect sensor data and merge external databases; developing frameworks to address missing data values and input context information in a privacy-enhanced fusion; investigating trade-offs between context-aware and non-context-aware data fusion; and designing a framework to address data dependencies for predicting user behavior and generating personalized results. Additional services involve integrating undergraduate and graduate student involvement through project-based learning and contributing to related course development in areas such as machine learning, mobile application development, and introduction to the Internet of Things. The grant recipient is North Carolina Agricultural and Technical State University in Greensboro, North Carolina.