研究方向为建筑环境与能源技术、人工智能、控制工程的多学科交叉领域，重点包括：智慧城市与绿色建筑、建筑能源数字孪生系统、高科技精密环境控制技术。部分代表性论文如下： Zhuang C., Choudhary R., Mavrogianni A. (2023). Uncertainty-based optimal energy retrofit methodology for building heat electrification with enhanced energy flexibility and climate adaptability. Applied Energy, 341: 121111. https://doi.org/10.1016/j.apenergy.2023.121111. Zhuang C., Choudhary R., Mavrogianni A. (2022). Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks. Building and Environment, 219: 109207. https://doi.org/10.1016/j.buildenv.2022.109207. Zhuang C., Shan K, Wang S. (2021). Coordinated demand-controlled ventilation strategy for energy-efficient operation in multi-zone cleanroom air-conditioning systems. Building and Environment, 191: 107588. https://doi.org/10.1016/j.buildenv.2021.107588. Zhuang C., Gao Y, Zhao Y., Levinson R., Heiselberg P., Wang Z., Guo R. (2021). Potential benefits and optimization of cool-coated office buildings: A case study in Chongqing, China. Energy, 226: 120373. https://doi.org/10.1016/j.energy.2021.120373. Zhuang C., Wang S. and Shan K. (2020). A risk-based robust optimal chiller sequencing control strategy for energy-efficient operation considering measurement uncertainties. Applied Energy, 280: 115983. https://doi.org/10.1016/j.apenergy.2020.115983. Zhuang C., and Wang S. (2020). An adaptive full-range decoupled ventilation strategy for buildings and spaces requiring strict humidity control and its applications in different climatic conditions. Sustainable Cities and Society, 52: 101838. https://doi.org/10.1016/j.scs.2019.101838. Zhuang C. and Wang S. (2020). Uncertainty-based robust optimal design of cleanroom air-conditioning systems considering life-cycle performance. Indoor and Built Environment, 29 (9): 1214-1226. https://doi.org/10.1177/1420326X19899442. Zhuang C. and Wang S. (2020). Risk-based online robust optimal control of air-conditioning systems for buildings requiring strict humidity control considering measurement uncertainties. Applied Energy, 261: 114451. https://doi.org/10.1016/j.apenergy.2019.114451. Zhuang C., Wang S., Shan K. (2019). Probabilistic optimal design of cleanroom air-conditioning systems facilitating optimal ventilation control under uncertainties. Applied Energy, 253: 113576. https://doi.org/10.1016/j.apenergy.2019.113576. Zhuang C., Wang S., Shan K. (2019). Adaptive full-range decoupled ventilation strategy and air-conditioning systems for cleanrooms and buildings requiring strict humidity control and their performance evaluation. Energy, 168:883-896. https://doi.org/10.1016/j.energy.2018.11.147. Shi D., Gao Y., Zeng P., Li B., Shen P., Zhuang C. (2022). Climate adaptive optimization of green roofs and natural night ventilation for lifespan energy performance improvement in office buildings. Building and Environment, 223:109505. https://doi.org/10.1016/j.buildenv.2022.109505. Guo R., Gao Y., Zhuang C., Heiselberg P., Levinson R., Zhao X., Shi D. (2020). Optimization of cool roof and night ventilation in office buildings: A case study in Xiamen, China. Renewable Energy, 147: 2279-2294. https://doi.org/10.1016/j.renene.2019.10.032. | 
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