Huijuan Shao was a Ph.D. student working on data mining models for smart buildings. Specifically, she uses temporal models to mine time series for energy disaggregation and occupancy prediction. Energy disaggregation is used to analyze the electricity usage of each device inside buildings by monitoring only the whole-house meter at entry service. Occupancy prediction aims to estimate whether a home is occupied by tracking an individual’s indoor activities, thus helping to automate the HVAC system ahead of time.
Shao is also interested in data mining research in public health. She conducts research on how disease spreads over a network and finds a specific group of people as sensors to predict disease outbreak.