Xincong YANG is a full-time Postdoctoral Fellow of the Department of Building and Real Estate at the Faculty of Construction and Environment. Before joining the Hong Kong Polytechnic University as a PhD candidate, Mr. YANG received his master’s degree in Architecture and Civil Engineering as well as dual-bachelor degree in Civil Engineering and Engineering Management from Harbin Institute of Technology. The main research themes of YANG include construction virtual prototyping, building information modelling, humanmachine/computer interaction and data mining.
Contact E-mail : Xincong.firstname.lastname@example.org
Area of Research
- Construction Virtual Prototyping
- Building Information Modeling
- Human-machine/computer interaction
- Data Mining
- Heng Li, Xincong Yang, Fenglai Wang, Timothy Rose, Greg Chan, Shuang Dong, Stochastic state sequence model to predict construction site safety states through Real-Time Location Systems, Safety Science, Volume 84, April 2016, Pages 78-87, ISSN 0925-7535, http://dx.doi.org/10.1016/j.ssci.2015.11.025.