Zhipeng Deng is a dedicated researcher and an assistant professor in the UCF Department of Mechanical and Aerospace Engineering. He received a bachelor’s degree from Shanghai Jiao Tong University and completed his doctoral degree at Purdue University. Deng’s expertise in utilizing cutting-edge technologies of big data and quantum computing has significantly advanced the understanding of built environment and optimization of energy systems.

• Deng, Z., Dong, B., Guo, X., Wang, X., & Zhang, J. (2024). Assessing multi-domain impact of IAQ and noise on productivity with portable air cleaners through physiological signals. Building and Environment, 254, 111375.


• Deng, Z., Dong, B., Guo, X., & Zhang, J. (2024). Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review. Indoor Air, 2024(1), 5584960.


• Deng, Z., Wang, X., Dong, B. (2023). Quantum computing for future real-time building HVAC controls. Applied energy, 334, 120621.


• Deng, Z., Wang, X., Jiang, Z., Zhou, N., Ge, H., Dong, B. (2023). Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction. Energy. 126934.


• Deng, Z., & Chen, Q. (2022). What is suitable social distancing for people wearing face masks during the COVID‐19 pandemic?. Indoor Air, 32(1), e12935.


• Deng, Z., & Chen, Q. (2021). Reinforcement Learning of Occupant Behavior Model for Cross-Building Transfer Learning to Various HVAC Control Systems. Energy and Buildings, 238, 110860.


• Deng, Z., & Chen, Q. (2020). Development and validation of a smart HVAC control system for multi-occupant offices by using occupants’ physiological signals from wristband. Energy and Buildings, 214, 109872.


• Deng, Z., & Chen, Q. (2018). Artificial neural network models using thermal sensations and occupant behavior for predicting thermal comfort. Energy and Buildings, 174, 587-602.