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.

Selected Publications

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• Simultaneous Localization and Mapping with Power Network Electromagnetic Field

  Chris Xiaoxuan Lu‚ Yang Li‚ Peijun Zhao‚ Changhao Chen‚ Linhai Xie‚ Hongkai Wen‚ Rui Tan and Niki Trigoni

  In Annual International Conference on Mobile Computing and Networking (MobiCom). 2018.

  Details about Simultaneous Localization and Mapping with Power Network Electromagnetic Field | BibTeX data for Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download waveknit.pdf of Simultaneous Localization and Mapping with Power Network Electromagnetic Field | Download mobicom18 copy.key of Simultaneous Localization and Mapping with Power Network Electromagnetic Field

• DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics

  Chris Xiaoxuan Lu‚ Bowen Du‚ Peijun Zhao‚ Hongkai Wen‚ Yiran Shen‚ Andrew Markham and Niki Trignoni

  In International Symposium on Wearable Computers (ISWC). 2018.

  Details about DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | BibTeX data for DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics | Download  (pdf) of DeepAuth: In−situ Authentication for Smartwatches via Deeply Learned Behavioural Biometrics

• Robust Occupancy Inference with Commodity WiFi

  Chris Xiaoxuan Lu‚ Hongkai Wen‚ Han Zou‚ Hao Jiang‚ Lihua Xie and Niki Trigoni

  In IEEE International Conference on Wireless and Mobile Computing‚ Networking and Communications (WiMob). 2016.

  Details about Robust Occupancy Inference with Commodity WiFi | BibTeX data for Robust Occupancy Inference with Commodity WiFi | Download  (pdf) of Robust Occupancy Inference with Commodity WiFi