ENGLISH 中财主站 加入收藏

周鹏

发布时间:2019-09-11浏览次数:


                                    PENG ZHOU(周鹏)                                                              

Associate Professor (长聘副教授)

PhD, Construction Management, University of Illinois at Urbana-Champaign (UIUC)

Master, Construction Management, UIUC        

Contact

Central University of Finance and Economics

Shahe Higher Education Park, Beijing, China 102206

Office: Building 4, Room 336

Email: zhoupeng@cufe.edu.cn; pzhoucufe@163.com

Research interests

Low Carbon Emission and Energy Efficiency of Buildings, Big Data Analytics, Smart City, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

欢迎对应用机器学习、深度学习、计算机视觉、自然语言处理技术解决建筑低碳与节能管理领域问题感兴趣的学生(不限专业,有计算机相关基础优先)报考加入我的研究课题组

Appointments

Associate Professor, Department of Management Science and Engineering, Central University of Finance and Economics                      

Teaching

Introduction to Building Information Modeling (undergraduate)

Automated Cost Estimation (undergraduate)

Engineering Risk Management (undergraduate)

Infrastructure Investment and Development (graduate)

Professional English (graduate)

Publications

Zhou P., QiY.F., YangQ., and Chang, Y. (2025). “Neural topic modeling of machine learning applications in building: Key topics, algorithms, and evolution pattern.” Autom. Constr., 10.1016/j.autcon.2024.105890. (SCI, JCR Q1, 中科院一区Top)

Zhou P., Zhang, T., Zhao, L., Qi, Y., Chang, Y., and Bai, L. (2023). “Pre-clustering active learning method for automatic classification of building structures in urban areas.” Eng. Appl. Artif. Intell., 10.1016/j.engappai.2023.106382. (SCI, JCR Q1, 中科院一区Top)

Zhou, P., and El-Gohary, N. (2022). “Semantic information extraction of energy requirements from contract specifications: Dealing with complex extraction tasks.” J. Comput. Civ. Eng., 10.1061/(ASCE)CP.1943-5487.0001008. (SCI, JCR Q1, 中科院二区)

Zhang, Q., Xue, C., Zhou, P., Wang, X., Zhang, J., and Su, X. (2022). “Named entity recognition for Chinese construction documents based on conditional random field.” Frontiers Eng. Manage. (FMS B, JCR Q1, 中科院二区)

Zhou, P., and El-Gohary, N. (2021). “Semantic information alignment of BIMs to computer-interpretable regulations using ontologies and deep learning.” Adv. Eng. Inform., 10.1016/j.aei.2020.101239. (SCI, JCR Q1, 中科院一区Top)

Zhou, P., and Chang, Y. (2021). “Automated classification of building structures for urban built environment identification using machine learning.” J. Build. Eng., 10.1016/j.jobe.2021.103008, 04015057. (SCI, JCR Q1, 中科院二区Top)

Zhou, P., and El-Gohary, N. (2017). “Ontology-based automated information extraction from building energy conservation codes.” Autom. Constr., 10.1016/j.autcon.2016.09.004. (SCI, JCR Q1, 中科院一区Top)

Zhou, P., and El-Gohary, N. (2015). “Domain-specific hierarchical text classification for supporting automated environmental compliance checking.” J. Comput. Civ. Eng., 10.1061/(ASCE)CP.1943-5487.0000513, 04015057. (SCI, JCR Q1, 中科院二区)

Zhou, P., and El-Gohary, N. (2015). “Ontology-based multi-label text classification for construction regulatory documents.” J. Comput. Civ. Eng., 10.1061/(ASCE)CP.1943-5487.0000530, 04015058. (SCI, JCR Q1, 中科院二区)

Yu, J., Yang, F., Zhou, P., Li, Y., Huang, Z., and El-Gohary, N. (2021). “Curriculum system design for construction management major in finance and economics colleges facing the intelligent construction era.” International Conference on Construction and Real Estate Management 2021, ASCE, Reston, VA, 416-424. (EI)

Zhou, P., and El-Gohary, N. (2018). “Text and information analytics for fully automated energy code checking.” Proc. 2nd GeoMEast Int. Congress and Exhibition on Sustainable Civil Infrastructures, Springer International Publishing, Cham, Switzerland, 196-208. (EI)

Zhou, P., and El-Gohary, N. (2018). “Automated matching of design information in BIM to regulatory information in energy codes.” Proc. 2018 ASCE Construction Research Congress (CRC), ASCE, Reston, VA, 75-85. (EI)

Zhou, P., and El-Gohary, N. (2016). “Automated extraction of environmental requirements from contract specifications.” Proc. 16th Int. Conf. on Comput. in Civ. and Build. Eng. (ICCCBE2016), International Society for Computing in Civil and Building Engineering (ISCCBE), Osaka, Japan, 1669-1676. (EI)

Zhou, P., and El-Gohary, N. (2015). “Ontology-based information extraction from environmental regulations for supporting environmental compliance checking.” Proc. 2015 ASCE Int. Workshop Comput. Civ. Eng., ASCE, Reston, VA, 190-198. (EI)

Zhou, P., and El-Gohary, N. (2014). “Ontology-based multi-label text classification for enhanced information retrieval for supporting automated environmental compliance checking.” Proc. Comput. in Civ. and Build. Eng. (2014), ASCE, Reston, VA, 2238-2245. (EI)

Zhou, P., and El-Gohary, N. (2014). “Semantic-based text classification of environmental regulatory documents for supporting automated environmental compliance checking in construction.” Proc. 2014 ASCE Construction Research Congress (CRC), ASCE, Reston, VA, 897-906. (EI)

Research project

National Natural Science Foundation of China

Elite Scholars Support Program of Central University of Finance and Economics

Professional services                                                                        

ReviewerJournal of Computing in Civil Engineering, Journal of Environmental Management, Journal of Building Engineering, Building and Environment, Automation in Construction, International Journal of Construction Management, China Civil Engineering Journal

Committee:Data Sensing and Analysis (DSA) committee, Visualization, Information Modeling and Simulation (VIMS) committee, American Society of Civil Engineers (ASCE), TRB Information Systems in Construction Management Subcommittee. 中华建设管理研究会(CRIOCM)青年工作委员会委员. 中国城市经济学会基础设施与运维管理专业委员会委员.  

Recruitment                                                                        

Graduate students with major, talents or interest in application of machine learning, deep learning, computer vision, and natural language processing techniques to engineering management domain are welcome to join my research team.                                                            


上一篇:高然

下一篇:杨帆