Shu Tang Ph.D.

Assistant Professor

Dr. Shu Tang earned her Ph.D. in Architecture Design Computation from Georgia Institute of Technology. Shu received her Bachelor's and Master's in Civil Engineering from the University of Nottingham and Carnegie Mellon University. Before joining XJTLU, She has worked in the industry and conducted research and teaching at the University of Nottingham Ningbo China. Shu's general research interests lie in building automation and control systems (BACS), building service systems, building physics modeling, building information modeling (BIM), the Internet of things (IoT), and semantic web technologies for the smart built environment.


  • PhD, Architecture, Design Computation, Georgia Institute of Technology, 2017-2020
  • MSc, Civil Engineering, Carnegie Mellon University, 2012-2013
  • BEng, Civil Engineering, University of Nottingham, 2008-2012


  • Graduate Teaching/Research Assistant, Georgia Tech, 2017-2020
  • Teaching Fellow, University of Nottingham Ningbo China, 2017
  • Assitant Research Fellow, University of Nottingham Ningbo China, 2016-2017
  • BIM Specialist, Ningbo Housing Building Information Techology Co,. Ltd., 2014-2016


  • Building Information Modeling (BIM)
  • Internet of Things (IoT)
  • Digital Construction and Design Computation
  • Smart Built Environment
  • Information Exchange and Data Interoperability
  • Building Automation System (BAS)
  • Semantic Web Technology


  • Tang, S., Shelden, D., Eastman, C., Pishdad-Bozorgi, P., & Gao, X. (2020). BIM assisted BAS Information Exchange using BACnet and IFC, Automation in Construction, 110, 103049.
  • Gao, X., Pishdad-Bozorgi, P., Shelden, D.R., & Tang, S. (2021). An Internet of Things (IoT)-enabled Data Acquisition Framework for the Smart Built Environment. Journal of Construction Engineering and Management, 147, 04020169.
  • Tang, S., Shelden, D.R., Eastman, C., Pishdad-Bozorgi, P., & Gao, X. (2019). A Review of Building Information Modeling (BIM) and Internet of Things (IoT) Devices Integration: Present Status and Future Trends, Automation in Construction, 101, 127-139.
  • Kang, BG., Elbashier, M., Tang, L., Jin, R., Tang, S. (2018). Competitive tendering for construction projects in Sudan. Journal of Fundamental and Applied Sciences, 10 (3S), 828-835.
  • Kang, BG., Arefi, M., Tang, L., Jin, R., Tang, S. (2018). Barrier of technology transfer for construction projects: a comparative study between Iran and Malaysia. Journal of Fundamental and Applied Sciences, 10 (3S), 816-827.


  • Tang, S., & Shelden, D.R., (2020). A Framework Utilizing Modern Data Models with IFC for Building Automation System Applications. Proceedings of the ASCE 2020 Construction Research Congress. Pheonix, AZ, USA.
  • Gao, X., Pishdad-Bozorgi, P., Shelden, D. R., & Tang, S. (2020). Machine Learning-based Building Life-cycle Cost Prediction: A Framework and Ontology. Proceedings of the ASCE 2020 Construction Research Congress. Pheonix, AZ, USA.
  • Gao, X., Pishdad-Bozorgi, P., Shelden, D. R., & Tang, S. (2019). A Scalable Cyber-Physical System Data Acquisition Framework for the Smart Built Environment. Proceedings of the ASCE 2019 International Conference on Computing in Civil Engineering (i3CE). Atlanta, GA, USA.
  • Gao, X., Pishdad-Bozorgi, P., Shelden, D., & Tang, S. (2019). Machine Learning-based Life-cycle Cost Analysis for Educational Facilities. Proceedings of 55thAnnual International Associated School of Construction (ASC). Denver, CO, USA.
  • Tang, S., Tang, L., Wu, Z., Zheng, W., & Chen, C. (2016). A Conceptual Workflow for BIM Based Prefabrication Design Visualization with Augmented Reality. Proceedings of 16th International Conference on Construction Applications of Virtual Reality. Hong Kong.
  • Wu, Z., Tang, L., Ch’ng, E., Tang, S., Zheng, W., & Chen, C. (2016). BIM Based Virtual Reality Environment for Energy Consuming by End-users. Proceedings of 16th International Conference on Construction Applications of Virtual Reality. Hong Kong.


  • Gao, X., Tang, S., Pishdad-Bozorgi, P., & Shelden, D.R. (2018). Foundational Research in Integrated Building Internet of Things (IoT) Data Standards, Center for the Development and Application of Internet of Things Technologies, Georgia Institute of Technology.


  • Tang, L., Chen, C., Tang, S., Wu, Z., (2017). Building Information Modeling and Energy Efficiency Optimization. In: DENG, W. ed. Encyclopedia of Sustainable Technologies, Volume of Sustainable Built Environment, Elsevier.
  • Shelden, D.R., Pauwels, P., Pishdad-Bozorgi, P., Tang, S., (2019). Data Standards and Data Exchange for Construction 4.0. Construction 4.0-Innovation Platform for the Built Environment, Routledge.


  • Building Information Modeling (BIM) and the Internet of Things (IoT). Digital Building Lab (DBL) Symposium. Georgia Tech. Atlanta, GA. May 3, 2018.
  • A Conceptual Workflow for BIM Based Prefabrication Design Visualization with Augmented Reality. 16th International Conference on Construction Applications of Virtual Reality. Hong Kong. December 13, 2016.


  • 2021 NSFC Young Scientist Fund, 62102324,‘BIM and IoT assisted Building Automation System design and operation information exchange using semantic web technology’, RMB 240,000, PI, Jan 2022-Dec 2024
  • 2021 Jiangsu Province 'Shuang Chuang' Programme, RMB 150, 000, PI Jul 2021
  • Research Development Fund, RDF-20-01-14, ‘An Information Exchange Framework for `BIM, BAS, and IoT Data Using Semantic Web Technology’, XJTLU, RMB 7,3000, PI, Jan 2021-Dec 2023
  • SURF Programme, 2021011, ‘An automatic design-feedback process for structural prefabricated components quantity take-off calculation using BIM’, , XJTLU, RMB 11,500, PI Jun 2021-Sep 2021


  • CEN 423, Digital Construction
  • CEN 321, Construction Cost Estimation and Control


  • COA6513, Building System and Data
  • ARCH 6242, Inquiry in Building Performance
  • EE4GSM, Global Smart City with Integrated BIM
  • EE4BPF, BIM+ and Its Future
  • H23TMB, 3D Modeling for BIM
  • EE3BIM, Building Information Modeling and Management
Shu Tang