Expertise: Machine Learning, Internet Of Things, Cyber-Physical Systems, Facilities Management, Building Information Modelling
Xinghua Gao is an assistant professor with the Myers-Lawson School of Construction at Virginia Tech. He received his PhD degree in Building Construction and MSc in Computational Science and Engineering from Georgia Institute of Technology in 2019, MSc in Structural Engineering from Cardiff University, UK in 2012, and BEng in Civil Engineering from Central South University, China in 2010. Prior to pursuing his PhD, he worked as a structural/Building Information Modeling (BIM) engineer at the China Institute of Building Standard Design & Research. His research interests lie in BIM and Internet of things (IoT)-enabled smart built environments that encompass automated data collection, analysis, and visualization for more efficient and effective construction and facilities management.
Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-Bozorgi, P., & Gao, X. (2020). BIM assisted Building Automation System information exchange using BACnet and IFC. Automation in Construction, 110, 103049.
Chen, J., Gao, X., Hu, Y., Zeng, Z., & Liu, Y. (2019). A meta-model-based optimization approach for fast and reliable calibration of building energy models. Energy, 188, 116046.