Miami, Florida

Publications

For the complete list of our publications, please check this page https://scholar.google.com/citations?user=3-nlJyUAAAAJ&hl=en

Selected Publications:

  • 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%.

    [Paper]
  • IoTSpot: Identifying the IoT Devices Using Their Anonymous Network Traffic Data.
    Liangdong Deng, Yuzhou Feng, Dong Chen, and Naphtali Rishe.
    In Proc. of the 38th IEEE Military Communications Conference, MILCOM 2019, November 12-14, 2019, Norfolk, VA.

    [Paper]
  • Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting.
    Noman Bashir, Dong Chen, David Irwin, and Prashant Shenoy.
    In Proc. of the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems, November 4-7, 2019, Monterey, CA, USA.

    [Paper]
  • Staring at the Sun: A Physical Black-box Solar Performance Model.
    Dong Chen, Joseph Breda, David Irwin.
    In Proc. of the 2018 ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys’18), November 07 – 08, 2018. Acceptance rate: 24.19%.
    [Paper]
  • Private Memoirs of IoT Devices: Safeguarding User Privacy in the IoT Era.
    Dong Chen, Phuthipong Bovornkeeratiroj, David Irwin and Prashant Shenoy
    In Proc. of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS’18), July 2 – 5, 2018, Vienna, Austria.
    [Paper]
  • Weatherman: Exposing Weather-based Privacy Threats in Big Energy Data.
    Dong Chen
    , David Irwin.

    In Proceedings of 2017 IEEE International Conference on Big Data (BigData’17), Boston, MA, USA, Dec 11-14, 2017. Accept Rate = 87/437 = 20%.
    [Paper]-[Presentation]
  • Black-box Solar Performance Modeling: Comparing Physical, Machine Learning, and Hybrid Approaches.
    Dong Chen
    , David Irwin.

    In Proceedings of 2017 ACM Greenmetrics (Greenmetrics’17), Urbana-Champaign, IL, USA, June 6, 2017. Re-published: Performance Evaluation Review, Vol. 45, No. 2, September 2017.
    [Paper]-[Sigmetrics17/Greenmetrics17 Travel Grant]
  • SunDance: Black-box Behind-the-Meter Solar Disaggregation.
    Dong Chen
    , David Irwin.

    In Proceedings of the eighth ACM International Conference on Future Energy Systems (e-Energy’17), Hongkong, 2017. Acceptance ratio = 26.7%.
    [Paper]-[Data Release]-[eEnergy17 travel grant]
  • SunSpot: Exposing the Location of Anonymous Solar-powered Homes.
    Dong Chen
    , Srinivasan Iyengar, David Irwin, Prashant Shenoy.

    In Proceedings of the 2016 ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys’16), Stanford, CA, USA, 2016. Accept Rate = 24.48%.
    [Paper]-[Presentation]-[Data Release]-[Sensys16/Buidlsys16 Travel Grant]
  • SmartSim: A Device-Accurate Smart Home Simulator for Energy Analytics.
    Dong Chen
    , David Irwin, Prashant Shenoy.

    In Proceedings of the 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm’16), Sydney, Australia, 2016.
    [Paper]-[Presentation]
  • Preventing Occupancy Detection from Smart Meters.
    Dong Chen
    , Sandeep Kalra, David Irwin, Prashant Shenoy, and Jeannie Albrecht.

    IEEE Transactions on Smart Grid, 6(5), pp.2426-2434, 2015, Impact Factor: 7.364.
    [Paper]
  • Combined Heat and Privacy: Preventing Occupancy Detection from Smart Meters.
    Dong Chen
    , David Irwin, Prashant Shenoy, Jeannie Albrecht.

    In Proceedings of the 12th IEEE International Conference on Pervasive Computing and Communications (Percom’14), Budapest, Hungary, 2014. Acceptance rate = 14%.
    [Paper]
  • Non-Intrusive Occupancy Monitoring using Smart Meters.
    Dong Chen
    , Sean Barker, Adarsh Subbaswamy, David Irwin, Prashant Shenoy.

    In Proceedings of the Fifth ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys’13), Roma, Italy, November 11-15, 2013. Accept Ratio = 39%.
    [Paper]-[Data Release]