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Joyce Kim

Assistant Professor

Contact InformationJoyce Kim

Biography Summary

Joyce Kim is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Waterloo. She holds a BASc from the University of Waterloo, a MASc from Thomas Jefferson University, and a PhD from the University of California, Berkeley.

Dr. Kim is primarily interested in studying human-building interactions and the role of technologies to augment occupant performance and building energy efficiency. Her research leverages IoT and data-driven analytics to predict human comfort and behaviour, personalize occupant experience in the built environment and enable intelligent building design and operation. Her research interests also include smart grid technologies and utility cost optimizations.

Research Interests

  • Intelligent building design and operation
  • Human-building interaction
  • Occupant comfort, behaviour, and productivity
  • Indoor environment qualities
  • Internet of Things
  • Machine learning/Artificial Intelligence
  • Energy efficiency
  • Smart grid
  • Demand response


  • 2018, Doctorate, Architecture (Building Science), University of California, Berkeley
  • 2011, Master of Science, Sustainable Design, Thomas Jefferson University
  • 2006, Bachelor of Applied Science, Civil Engineering, University of Waterloo


  • AE 225 - Environmental Building Studio
    • Taught in 2020
  • CIVE 105 - Mechanics 2
    • Taught in 2020, 2021
* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • Kim, J., Bauman, F., Raftery, P., Arens, E., Zhang, H., Fierro, G., ... & Culler, D. (2019). Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers. Building and Environment, 148, 348-360. (Received the 2019 Best Paper Award from Building and Environment) (Accepted in 2019)
  • Jia, R., Jin, B., Jin, M., Zhou, Y., Konstantakopoulos, I. C., Zou, H., Kim, J., ... & Nuzzo, P. (2018). Design automation for smart building systems. Proceedings of the IEEE, 106(9), 1680-1699. (Accepted in 2018)
  • Kim, J., Zhou, Y., Schiavon, S., Raftery, P., & Brager, G. (2018). Personal comfort models: predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning. Building and Environment, 129, 96-106. (Received the 2018 Best Paper Award from Building and Environment) (Submitted in 2018)
  • Kim, J., Schiavon, S., & Brager, G. (2018). Personal comfort models–A new paradigm in thermal comfort for occupant-centric environmental control. Building and Environment, 132, 114-124. (Submitted in 2018)
  • Zhao, P., Peffer, T., Narayanamurthy, R., Fierro, G., Raftery, P., Kaam, S., & Kim, J. (2016). Getting into the zone: how the internet of things can improve energy efficiency and demand response in a commercial building. Proceedings of ACEE Summer Study, 2016. (Accepted in 2016)

In the News

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