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！！！特别欢迎有科研兴趣、有志于发表SCI论文的各专业本科生，每年均带本科生发表1区SCI论文，直接加本人微信(ID: chiefbosszhou)即可。

周圣华，江苏宜兴人，1993年6月，香港大学博士，东南大学讲师及硕士生导师，江苏省“双创博士”人才计划入选者。研究方向主要是将数据驱动技术、深度学习等与城市管理、工程管理等领域相结合，着重考虑灾害情境（如暴雨内涝）下基础设施的关联韧性。除此之外，近期开展多项大语言模型与土木工程领域相结合的研究，欢迎对实现完全人工智能有兴趣的同学加入。目前, 主持国家自然科学基金1项，江苏省社会科学基金1项，中央高校基本科研业务费项目2项；参与国家社会科学基金重大课题1项，国家重点研发计划2项。已发表各类论文50篇，其中SCI/SSCI论文35篇、CSSCI/CSCD/EI论文10篇，担任数十个SCI/SSCI期刊及EI国际会议审稿人。

工作经历

2022.03-date               东南大学             建设与房地产系       讲师/硕导

2023.10-2024.09         剑桥大学             工学院                       国家公派访问学者

教育背景

2018.01-2021.09         香港大学             土木工程                   哲学博士 PhD       (导师：Chair Prof. Thomas Ng，提前1学期毕业）

2015.09-2017.09         东南大学             管理科学与工程         学术硕士 Mphil    （导师：李德智教授，提前1年毕业）

2014.09-2015.01         台湾中央大学       营建管理                   交换生

2011.09-2015.06         东南大学             丁大钧班                   本科

个人网站

个人研究成果网站：futureinfrastructures.com （自己写的网站，没时间维护，域名也没续费，打不开了，●'◡'●)

本人谷歌学术主页：https://scholar.google.com/citations?hl=en&user=PR3rBEYAAAAJ

本人Github主页：https://github.com/0AnonymousSite0

1. 现担任《Reliability Engineering and System Safety》、《Expert Systems with Applications》、《International Journal of Critical Infrastructure Protection》、《Engineering, Construction and Architectural Management》、《Journal of Aging and Social Policy》、《Journal of Traffic and Transportation Engineering》、《IEEE International Conference on Universal Village》等数十个SCI/SSCI期刊及EI国际会议审稿人。

2. 全国高校BIM毕业设计创新大赛总决赛评委

1. 本科生《BIM技术及应用》

2. 本科生《项目融资与保险》

3. 研究生《BIM技术及应用》、《工程项目融资》

4. 本科生《认识实习》

主持的科研项目

1. 国家自然科学基金，《城市暴雨内涝情境下关键基础设施级联失效的路径识别、联合仿真与智能预控》，主持，2023-2025

2. 江苏省社会科学基金，《江苏生命线适灾韧性评估与提升研究》，主持，2023-2025

3. 中央高校基本科研业务费专项资金，《文本和图像数据驱动的关键基础设施级联失效研究》主持，2022-2023

4. 中央高校基本科研业务费专项资金，《数字孪生驱动的基础设施韧性测度与提升》，主持，2023-2024

 参与的科研项目(部分)

5. 国家重点研发计划，子课题《CIM综合模型结构化高效构建关键技术研究》，第2参与人

6. 国家重点研发计划，子课题《基于造楼机的高层建筑智能建造模式研究》，第4参与人

7. 国家社会科学基金重大项目，子课题《数智化提高城市环境基础设施运行效率的评价体系及实现路径研究》，第2参与人

8. 香港CRF重点基金，《Digital Twin Supported Rapid Deployable and Reconfigurable Healthcare Facility Module for Infectious Diseases Response and Treatment》，参与

9. 香港GRF优配基金，《Digital Twin for Improving the Operational Intelligence of Building Facilities and Workplace》，参与

10. 香港GRF优配基金，《Crowdsourcing the Condition of Infrastructure Systems and User Behavior for Improved Operationalization of Community Resilience》，参与

11. 香港GRF优配基金，《An Ensemble Framework for Improving the Resilience and Smartness of Built Environment and Communities in Hong Kong》，参与

12. 香港GRF优配基金，《An Agile Big Data Centered Inter-Network Infrastructure Asset Management Platform》，参与

13. 国家社会科学基金重点项目，《大规模保障性住房社区居家养老体系构建与实施路径研究》，参与

14. 国家社会科学基金面上项目，《智慧城市建设的市民获得感评价及提升研究》，参与

15. 教育部人文社科基金项目，《老旧小区海绵化改造的居民参与式治理研究》，参与

16. 江苏省哲学社会科学重点项目，《江苏社会组织参与居家养老服务的模式与机制研究》，参与

17. 南京市绿建中心项目，《典型绿色建材碳排放因子测算》，第2参与人

18. 江宁城建集团，《No. 2019G99地块建筑的建造碳排放计算与低碳建设方案研究》，第2参与

第一作者/通讯作者

1.   Zhou, S., Liu, K., Li, D., et al. (2025). Augmenting general-purpose large-language models with domain-specific multimodal knowledge graph for question-answering in construction project management. Advanced Engineering Informatics. (中科院1区Top, SCI)

2.   Wang, W., Zhou, S., Li, D., Wang, Y., & Liu, X. (2025). Disentangling the non-linear relationships and interaction effects of urban digital transformation on carbon emission intensity. Urban Climate, 59, 102283. (通讯作者, JCR1区, SCI)

3.   Zhou, S., Wang, H., Li, D., Ng, S. T., Wei, R., et al. (2024). Revealing public attitudes toward mobile cabin hospitals during Covid-19 pandemic: Sentiment and topic analyses using social media data in China. Sustainable Cities and Society, 107, 105440. (中科院1区Top, SCI)

4.   Li, D., Zhao, Y., Zhou, S., & Ng, S. T. (2024). Social media data-based spatio-temporal assessment of public attitudes towards digital contact tracing applications: A case of health code application in mainland China. Technological Forecasting and Social Change, 209, 123775. (通讯作者, 中科院1区Top, SSCI)

5.   Li, D., Zhao, Y., Zhou, S., Yu, L., Wang, W., et al. (2024). Spatial spillover effects and correlation network analysis of green construction development efficiency in China. Journal of Cleaner Production, 474, 143627. (中科院1区Top, SCI)

6.   Zhou, S., Man, X., Li, D., Ng, S. T., Wei, R., et al. (2024). A multi-objective window placement approach using BIM and surrogate model. Developments in the Built Environment, 20, 100578. (JCR1区, SCI)

7.   Wang, W., Li, D., Huang, G., Zhou, S., Zhao, Y., et al. (2024). Barriers to Developing a Citizen-Centric Smart City in China: From the Perspective of Citizens’ Sense of Gain. Journal of Urban Technology, 1-36. (通讯作者, JCR1区, SCI)

8.   Zhou S., Wang, H., Li, D., et.al.  (2024). Incorporating Domain Knowledge Repository into Large Language Models for Question-Answering of Construction Laws and Regulations in China. International Conference of Computing in Civil Engineering, American Society of Civil Engineers (ASCE), Pittsburgh, USA. (EI)

9.   Zhou S. et.al.  (2024). Comparing network indicators for identifying critical facilities among interdependent infrastructures. International Conference on Construction and Real Estate Management, Guangzhou, China (通讯作者, EI)

10.D. Li, …, Zhou S. et.al. Analyzing Influencing Factors for Low-Carbon Development of Commercial Buildings Using DEMATEL-ISM (2024). International Conference on Construction and Real Estate Management, Guangzhou, China (通讯作者, EI)

11.李德智, 聂骁, 朱诗尧, & 周圣华*. (2023). 县城抗涝韧性的定量评价与时空演化研究——以江苏省为例. 灾害学, 38(4), 99-106. (通讯作者, CSCD/北大核心)

12.Li, D., Zhou, H., Zhou, S., Huang, G., Ma, X., et al. (2023). An eye-tracking-basd approach to evaluate the usability of government portal websites in pilot smart cities. Engineering, Construction and Architectural Management. (通讯作者, JCR1区, SSCI/SCI)

13.Li, D., Wang, W., Huang, G., Zhou, S., Zhu, S., et al. (2023). How to enhance citizens’ sense of gain in smart cities? A SWOT-AHP-TOWS approach. Social Indicators Research, 165(3), 787-820. (通讯作者, JCR1区, 中科院2区Top, SSCI)

14.Zhou, S., Ng, S. T., Huang, G., Dao, J., & Li, D. (2022). Extracting interrelated information from road-related social media data. Advanced Engineering Informatics, 54, 101780. (中科院1区Top, SCI)

15.Zhou, S., Ng, S. T., Yang, Y., & Xu, J. F. (2021). Integrating computer vision and traffic modeling for near-real-time signal timing optimization of multiple intersections. Sustainable Cities and Society, 68, 102775. (中科院1区Top, SCI)

16.Zhou, S., Yang, Y., Ng, S. T., Xu, J. F., & Li, D. (2020). Integrating data-driven and physics-based approaches to characterize failures of interdependent infrastructures. International Journal of Critical Infrastructure Protection, 31, 100391. (JCR1区, SCI)

17.Zhou, S., Ng, S. T., Yang, Y., & Xu, J. F. (2020). Delineating infrastructure failure interdependencies and associated stakeholders through news mining: The case of Hong Kong’s water pipe bursts. Journal of Management in Engineering, 36(5), 04020060. (中科院1区, SCI)

18.Zhou, S., Ng, S. T., Lee, S. H., Xu, F. J., & Yang, Y. (2020). A domain knowledge incorporated text mining approach for capturing user needs on BIM applications. Engineering, Construction and Architectural Management, 27(2), 458-482. (JCR1区, SCI/SSCI)

19.Zhou, S., Ng, S. T., Yang, Y., Xu, F. J., & Li, D. (2019). A data-driven and physics-based approach to exploring interdependency of interconnected infrastructure. ASCE International Conference on Computing in Civil Engineering 2019. (EI)

20.Zhou, S., Ng, S. T., Li, D., Zhang, J., Fan, J., et al. (2019). Characterizing stakeholders of aging-in-place through social network analysis: a study of Nanjing, China. Sustainability, 11(23), 6722.

21.周圣华, 张建坤, 范洁,李德智. (2018) 基于网络化治理的社区居家养老服务体系分析——以南京市为例. 现代城市研究. 8, 13-21. (北大核心/CSSCI-E)

22.周圣华. (2021) Integrating data-driven and physics-based approaches to identify, characterize, and respond to interdependent infrastructure failures, 香港大学博士论文.

23.周圣华. (2017) 基于BIM的建筑物生态足迹前摄性度量方法研究, 东南大学硕士论文.

 合作论文 （部分）

24.Yu, L., Li, D., Zhou, S., & Zhu, X. (2025). Agent-based simulation of citizens’ satisfaction in smart cities. Simulation, 00375497241265730.

25.Huang, G., Li, D., Zhou, S., Ng, S. T., Wang, W., et al. (2025). Public opinion on smart infrastructure in China: Evidence from social media. Utilities Policy, 93, 101886.

26.Zhu, X., Li, D., Zhou, S., Zhu, S., & Yu, L. (2024). Evaluating coupling coordination between urban smart performance and low-carbon level in China’s pilot cities with mixed methods. Scientific Reports, 14(1), 20461.

27.Yu, L., Li, D., Mao, L., Zhou, S., & Feng, H. (2024). Towards people-centric smart cities: A comparative evaluation of citizens’ sense of gain in pilot cities in China. Journal of Cleaner Production, 434, 140027.

28.Wang, Z., Wang, W., Li, D., Wang, Y., Yu, L., et al. (2024). Factors influencing contractors’ low-carbon construction behaviors in China: A LDA-DEMATEL-ISM approach. Environmental Science and Pollution Research, 31(36), 49040-49058.

29.Wang, W., Li, D., Zhou, S., Wang, Y., & Yu, L. (2024). Exploring the key influencing factors of low-carbon innovation from urban characteristics in China using interpretable machine learning. Environmental Impact Assessment Review, 107, 107573.

30.Wang, W., Li, D., Zhou, S., & Han, Z. (2024). Towards sustainable development: assessing the effects of low-carbon city pilot policy on residents’ welfare. Environment, Development and Sustainability, 1-34.

31.Qin, R., Cui, P., Zhou, S., & Zhang, F. (2024). Dynamic Analysis for Enhancing Urban Resilience Against Public Health Emergencies of International Concern. Land (2012), 13(12).

32.Li, L., Li, D., Zhou, S., Huang, H., Huang, G., et al. (2024). Unveiling age-friendliness in smart cities: A heterogeneity analysis perspective based on the IAHP-CRITIC-IFCE approach. Habitat International, 151, 103153.

33.Li, D., Yu, L., Huang, G., Zhou, S., Feng, H., et al. (2024). A real options-based investment-income valuation model for old community renewal projects in China. Engineering, Construction and Architectural Management, 31(11), 4516-4537.

34.Li, D., Shang, X., Huang, G., Zhou, S., Zhang, M., et al. (2024). Can Smart City Construction Enhance Citizens’ Perception of Safety? A Case Study of Nanjing, China. Social Indicators Research, 171(3), 937-965.

35.Gu, T., Xie, M., Hao, E., Wang, Y., & Zhou, S. (2024). Classifying and Quantifying Resident Engagement in the Sponge-Style Old Community Renewal of China: An Analysis Using the Analytic Network Process–Preference Ranking Organization Method for Enrichment Evaluations II Method. Buildings, 14(12), 3773.

36.Yu, L., Li, D., Zhou, S., & Xiao, B. (2023). Agent-Based Simulation of the Effect of Emotional Contagion on the Citizens'. Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate.

37.Yu, L., Li, D., Zhou, S., & Xiao, B. (2023). Agent-Based Simulation of the Effect of Emotional Contagion on the Citizens’ Sense of Gain in Smart Cities. International Symposium on Advancement of Construction Management and Real Estate,

38.Wong, M. O., Zheng, Z., Liang, H., Du, J., Zhou, S., et al. (2023). How does VR differ from renderings in human perception of office layout design? A quantitative evaluation of a full-scale immersive VR. Journal of Environmental Psychology, 89, 102043.

39.Li, D., Nie, X., Huang, G., Zhu, S., Zhou, S., et al. (2022). The Spatio-Temporal Assessment of County-Level Flood Resilience: A Case Study of 41 Counties in Jiangsu Province, China.

40.Yang, Y., Ng, S. T., Dao, J., Zhou, S., Xu, F. J., et al. (2021). BIM-GIS-DCEs enabled vulnerability assessment of interdependent infrastructures–A case of stormwater drainage-building-road transport Nexus in urban flooding. Automation in Construction, 125, 103626.

41.Dao, J., Ng, S. T., Yang, Y., Zhou, S., Xu, F. J., et al. (2021). Semantic framework for interdependent infrastructure resilience decision support. Automation in Construction, 130, 103852.

42.Yang, Y., Ng, S. T., Zhou, S., Xu, F. J., & Li, H. (2020). Physics-based resilience assessment of interdependent civil infrastructure systems with condition-varying components: A case with stormwater drainage system and road transport system. Sustainable Cities and Society, 54, 101886.

43.Yang, Y., Ng, S. T., Zhou, S., Xu, F. J., Li, D., et al. (2020). A federated pre-event community resilience approach for assessing physical and social sub-systems: An extreme rainfall case in Hong Kong. Sustainable Cities and Society, 52, 101859.

44.Li, L., Xu, J., Ng, S. T., Zhang, J., Zhou, S., et al. (2020). Attention-based graph neural network enabled method to predict short-term metro passenger flow. 2020 5th International Conference on Universal Village (UV),

45.Yang, Y., Ng, S. T., Zhou, S., Xu, F. J., & Li, H. (2019). A physics-based framework for analyzing the resilience of interdependent civil infrastructure systems: A climatic extreme event case in Hong Kong. Sustainable Cities and Society, 47, 101485.

46.Yang, Y., Ng, S. T., Zhou, S., Xu, F. J., & Li, H. (2019). Physics-driven based resilience analysis of interdependent civil infrastructure systems—A Case study in Hong Kong. ASCE International Conference on Computing in Civil Engineering 2019.

47.Yang, Y., Ng, S. T., Xu, F. J., Skitmore, M., & Zhou, S. (2019). Towards resilient civil infrastructure asset management: An information elicitation and analytical framework. Sustainability, 11(16), 4439.

48.Wong, M., Du, J., Liang, H., Zhang, Z., Zheng, Z., et al. (2019). An Experience-Based Spatial Design Framework Using VR Technology: A Case Study of Designing an Office Layout. 2019 Canadian Society for Civil Engineering Annual Conference, CSCE 2019,