Wenying Ji, Ph.D.
Assistant Professor, Construction Engineering
Telephone: (703) 993-6130
1411 Nguyen Engineering Building
Dr. Wenying Ji received his PhD in construction engineering and management from the University of Alberta. He also holds a MS degree from Texas A&M University and a BS degree from Southeast University. Dr. Ji is an interdisciplinary scholar focused on the integration of advanced data analytics, complex system simulation, and construction management to enhance decision-support processes of the AEC industry having authored numerous, high-quality publications in this area. He serves as a peer reviewer for multiple, top academic journals, including ASCE’s Journal of Construction Engineering and Management and Automation in Construction and has recently been presented a 2017 Outstanding Reviewer Award from ASCE’s Journal of Computing in Civil Engineering.
- Data analytics and simulation in complex system modelling.
- Automation, informatics, and artificial intelligence in construction management.
Ji, W., and AbouRizk, S. (2018). “Data-driven simulation model for quality-induced rework cost estimation and control using absorbing Markov chain.” Journal of Construction Engineering and Management, 144(8): 04018078. 10.1061/(ASCE)CO.1943-7862.0001534
Ji, W., AbouRizk, S., Zaïane, O., and Li, Y. (2018). “Complexity analysis approach for prefabricated construction products using uncertain data clustering.” Journal of Construction Engineering and Management, 144(8): 04018063. 10.1061/(ASCE)CO.1943-7862.0001520
Ji, W., and AbouRizk, S. (2018). “Simulation-based analytics for quality control decision support: Pipe welding case study.” Journal of Computing in Civil Engineering, 32(3), 05018002. 10.1061/(ASCE)CP.1943-5487.0000755
Ji, W., and AbouRizk, S. (2017). “Credible interval estimation for fraction nonconforming: Analytical and numerical solutions.” Automation in Construction, 83, 56-67. 10.1016/j.autcon.2017.07.003
Ji, W., and AbouRizk, S. (2017). “Implementing a data-driven simulation method for quantifying pipe welding operator quality performance.” In: Proc. Lean & Computing in Construction Congress (LC3), Vol. 1 (CIB W78), Heraklion, Greece. 10.24928/JC3-2017/0011
Ji, W., and AbouRizk, S. (2016). “A Bayesian inference-based simulation approach for estimating fraction nonconforming of pipe spool welding processes.” Winter Simulation Conference 2016, Arlington, VA, US. 10.1109/WSC.2016.7822328
Zhang, L., Wu, X., Ji, W., and AbouRizk, S. (2016). “An intelligent approach to estimation of tunnel-induced ground settlement using wavelet packet and support vector machine.” Journal of Computing in Civil Engineering, 31(2), 04016053. 10.1061/(ASCE)CP.1943-5487.0000621