Xilei Dai is a postdoctoral fellow at the IDEASLab. He specializes in IoT for building sensing and prediction, with expertise in deep learning for building performance prediction. He has participated in developing a large IoT system for over 200 homes in China to realize real-time retrieving of building operations and IAQ.
Interests
- Deep learning
- Indoor air quality
- Building modelling and simulation
Education
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PhD in Heating, Ventilation and Air-Conditioning, 2021
Tianjin University, China