About me
Here to download My CV!
I'm a computer science PhD candidate at Florida International University,
working at Cyber-Physical Systems Laboratory(CPSLab).
My researches focus on Deep Learning and Image Processing based distributed
cyberinfrastructure data analytics of Cyber-Physical Systems (e.g., smart cities, smart homes, Internet of Things, etc.).
Publications
SolarDiagnostics: Automatic Rooftop Solar Photovoltaic Array Damage Detection.
Qi Li, Keyang Yu and Dong Chen. In Proc. of the Eleventh IEEE International Green and
Sustainable Computing Conference, IGSC’20, Oct 19-22, Acceptance Rate = 23%.
We design a new system-SolarDiagnostics that can automatically and accurately detect and
localize any damage that may exist on rooftop solar PV arrays using their rooftop images with a lower cost.
SolarTrader: Enabling Distributed Solar Energy Trading in Residential Virtual Power Plants.
Yuzhou Feng, Qi Li, Dong Chen, and Raju Rangaswami. In Proc. of the 7th ACM International Conference on
Systems for Energy-Efficient Built Environments (BuildSys 2020), Acceptance Rate = 24.3%, November 18–20, 2020, Virtual Event, Japan.
We design a new solar energy trading system – SolarTrader that enables unsupervised, distributed,
and long term fair solar energy trading in residential VPPs. In essence, SolarTrader leverages a
new multiple-agent deep reinforcement learning approach that enables Peer-to-Peer solar energy trading among
different DSERs to ensure both the DSER users and the VPPs to achieve maximum benefits equally and simultaneously.
SolarFinder: Automatic Detection of Solar Photovoltaic Arrays.
Qi Li, Yuzhou Feng, Yuyang Leng, and Dong Chen. In Proc. of the 19th ACM/IEEE International Conference on
Information Processing in Sensor Networks,
IPSN’20, April 21-24, 2020, Sydney, Australia, Acceptance Rate = 21.33%.
We design a new system—SolarFinder that can automatically detect distributed solar photovoltaic arrays
in a given geospatial region without any extra cost.
Poster：Automatic Damage Detection on Roo!op Solar Photovoltaic Arrays
Qi Li, Keyang Yu, Dong Chen. In Proc. of the 7th ACM International Conference on
Systems for Energy-Efficient Built Environments (BuildSys 2020)
We design a new system— SolarDiagnostics that can automatically detect and pro!le damages
on rooftop solar PV arrays using their rooftop images with a lower cost.
Poster：Exposing the location of anonymous solar-powered homes:
Qi Li, Dong Chen. In Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, Miami.
We design a system to localize the "anonymous" solar-powered homes. We first localize the source home to a small
region of interest by inferring the latitude and longitude from the information inherently embedded in the solar data.
We then identify solar-powered homes within this region using satellite image processing by extracting and detecting rooftop
solar deployment using a hybrid convolution neural networks (CNN) approach to identify a specific home without extra cost.