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Mobile and People-centric Systems and Sensing

The design of mobile devices that collect and reason over people-centric data raise a unique combination of sensing, networking and systems challenges. We study how to achieve high-fidelity privacy-preserving continuous mobile sensing of a rich cross-section of the lives of both individuals and groups (e.g., health, workplaces, social interactions). Primarily, this activity considers how such goals can be accomplished through a mix of innovation spanning: networking, protocols and cloud resources; learning and systems algorithms; and, hardware/sensor design.


Past Members

Chris Xiaoxuan Lu
Stefano Rosa

Selected Publications

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