Jingkun was a student in the lab between 2012 and 2018, primarily working on facilitating the widespread implementation of fault detection and diagnostic algorithms for heating, ventilation and air conditioning systems in commercial buildings.
Interests
- Building Automation Systems
- Statistical Inference
- Semantic Technologies
Education
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PhD in Civil and Environmental Engineering, 2018
Carnegie Mellon University
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MS in Machine Learning, 2016
Carnegie Mellon University
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MS in Civil and Environmental Engineering, 2014
Carnegie Mellon University
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BS in Materials Chemistry, 2012
University of Science and Technology of China