Research Fields

• Low-Carbon Cities, Green Buildings, AI Applications

Research Profile

• Chao Wang, male, born in August 1992, serves as Assistant Professor and Master’s Supervisor, and is a recipient of the Shanghai Pujiang Talent Program. He holds a Doctorate in Architecture from Southeast University and a joint doctoral degree from Politecnico di Milano. He completed his postdoctoral fellowship at the Research Station of Architecture, Tongji University.

• His main research interests cover low-carbon urban renewal, net-zero carbon park design, and artificial intelligence application. He has presided over multiple research projects, including the Youth Program of the National Natural Science Foundation of China, the Pujiang Project of Shanghai Magnolia Talent Program, and the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation (Grade B). He has published 24 academic papers, among which 12 are indexed by SCI, including 1 ESI Highly Cited Paper as the first author. Additionally, he has authored 1 monograph and been granted 5 national invention patents.

Current Courses

• Artificial Intelligence and Low-Carbon City Analysis, Undergraduate Course

• Principles of Energy-Efficient Buildings, Postgraduate Course

Publications in International Books, Journals, and Conferences

➤ Journals

• C. Wang, M. Ferrando, F. Causone, X. Jin, X. Zhou, X. Shi. Data acquisition for urban building energy modeling: A review [J]. Building and Environment, 2022 (217): 109056. (ESI Highly Cited Paper)

• C. Wang, X. Wang, F. Causone, Y. Yang, P. Li, X. Shi. Balancing effects of uncertain parameters on the accuracy and stability of urban building energy modeling [J]. Building and Environment, 2026 (228): 113886.

• C. Wang, X. Wang, F. Causone, Y. Yang, N. Gao, Y. Ye, P. Li, X. Shi. Addressing uncertainty to achieve stability in urban building energy modeling: A comparative study of four possible approaches [J]. Building and Environment, 2025 (267): 112197.

• C. Wang, Y. Yang, F. Causone, M. Ferrando, Y. Ye, N. Gao, P. Li, X. Shi. Dynamic predictions for the composition and efficiency of heating, ventilation and air conditioning systems in urban building energy modeling [J]. Journal of Building Engineering, 2024 (96): 110562.

• C. Wang, M. Ferrando, F. Causone, X. Jin, X. Zhou, X. Shi. An innovative method to predict the thermal parameters of construction assemblies for urban building energy models [J]. Building and Environment, 2022 (224): 109541.

• C. Wang, S. Wei, S. Du, D. Zhuang, Y. Li, X. Shi, X. Jin, X. Zhou. A systematic method to develop three dimensional geometry models of buildings for urban building energy modeling [J]. Sustainable Cities and Society, 2021 (71): 102998.

• C. Wang, Y. Wu, X. Shi, Y. Li, S. Zhu, X. Jin, X. Zhou. Dynamic occupant density models of commercial buildings for urban energy simulation [J]. Building and Environment, 2020 (169): 106549.

• C. Wang, Y. Yang, X. Xia, X. Shi. Comparison of three methods in addressing measurement uncertain data for urban building energy modeling [J]. Lecture Notes in Civil Engineering, 2025 (553): 37-43.

• C. Wang, Z. Chen, Z. Tian, Y. Wu, X. Shi. Implementation of energy conservation in a commercial building using BEM and sub-metering technology [J]. Earth and Environment Science, 2019 (238): 012003.

• C. Wang, J. Shi, Z. Chen, X. Zha. Study on energy consumption of large public building based on sub-metering technology [J]. Procedia Engineering, 2017 (205): 3056-3060.

➤ Books

• X. Shi, C. Wang, S. Du. Urban Form, Climate and Energy Consumption [M]. Huazhong University of Science and Technology Press, 2023. (National Key Book Publishing Program of the 14th Five-Year Plan)

 Grants

• Youth Program of the NSFC. Research on the probabilistic computational model for urban building cluster energy driven by multiple design elements and its application performance. PI, Ongoing.

• Pujiang Project of Shanghai Magnolia Talent Program. Research on uncertainty, probability and stability mechanism of ten-thousand-scale urban building energy calculations. PI, Completed.

• Postdoctoral Fellowship Program of CPSF (Grade B). Research on the automatic generation of urban building energy models based on uncertainty. PI, Completed.

Awards

• Shanghai Pujiang Talent, 2023.

• Postdoctoral Research Performance Assessment Grant, 2025.