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Students’ mental health and learning during COVID-19
We collected longitudinal panel data and developed machine learning modles to understand the impacts of indoor envirnments on college students' mental health and learning performance.
LEED and non-LEED Occupants’ satisfaction and well-being
For this project, we collected 16761 online comments from websites like AirBnb to compare occupants' satisfaction of LEED and non-LEED buildings. We employed natural language processing (NLP) mathod, extacted latent topics from the comments and the performed sentiment analysis.
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Multi-phase flow simulation
In this project, we developed a muti-phase flow simulation model by considering heat and mass transfer to understand the wet flue gas deacidification process.
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