I am a PhD candidate from Department of Computer Science at University of California, Irvine (UCI) in the Computer Networks track. My faculty advisor is Professor Nalini Venkatasubramanian, who leads the Distributed Systems Middleware (DSM) group.
My primary research interest lies in the Internet of Things (IoT) and combining it with mobile sensing and mobile networking.
I worked on the Safe Community Awareness and Alerting Network (SCALE) project (2014-2017) that aimed at leveraging IoT devices to extend a safe home to everyone, especially vulnerable populations, at a low incremental cost. I worked on enabling mobility support on SCLAE sensor nodes, so these nodes can be mounted on bikes, buses, or be carried in backpacks to serve as mobile data collectors (MDCs) and help improve the resilience of the smart community IoT deployment.
Research problems include:
  1. How do we make efficient data upload plans for MDCs to get high-priority data delivered to the cloud in a timely manner?
  2. How do we selectively activate and deactivate participating sensors to reduce data communication overhead?
Currently, I am working on a smart-building firefighting project that aims at providing timely updates for firefighters in the field using data collected by IoT devices deployed in the building. IoT system enables fine-granularity sensing coverage, but numerous existing works, as well as our experience gained in previous projects, indicate that the general-purpose low-cost IoT sensors have drifting issues that significantly lowers the fidelity. Therefore, frequent sensor calibration is needed to ensure the accuracy of collected data and reported events.
Research problems include:
  1. How do we plan the activities of mobile units in the scene to help calibrate the deployed IoT sensors in a cost-efficient manner?
For details of my research, see the Research section.


Qiuxi Zhu

PhD Candidate
Department of Computer Science
University of California, Irvine (UCI)
Email: qiuxiz <at> ics <dot> uci <dot> edu