Assistant Professor Shuai Li graduated with his PhD from Purdue University and holds MS degrees in Economics and Industrial Engineering from Purdue. He teaches and conducts research in construction engineering and management. His research interests are related to multisensory data processing applied to construction automation and innovative public-private mechanisms to finance infrastructure investment.
- Construction engineering and management
- Multisensory data processing applied to construction automation
- Innovative public-private mechanisms to finance infrastructure investment
PhD Civil Engineering, Purdue University, 2017 MS Economics, Purdue University, 2016
MS, Industrial Engineering, Purdue University, 2015
MS Civil Engineering, Purdue University, 2014
BS Hydraulics and Hydroelectric Engineering, Tianjin University, 2012
BS Project Management, Tianjin University, 2012
ASCE Data Sensing and Analysis Committee
ASCE Visualization, Information Modeling, and Simulation Committee
Li, S., and Cai, H., (2017). “The Impacts of Government Incentives on Private Investment Behaviors under Demand Uncertainty”, Transportation Research Part E: Logistics and Transportation Review, 101, 115-129.
Li, S., Abraham, D.M. and Cai, H., (2017). “Infrastructure Financing with Project Bond and Credit Default Swap under Public-Private Partnerships”, International Journal of Project Management, 35(3), 406-419.
Li, S., Cai, H., and Kamat, V.R., (2016). “Integrating Natural Language Processing and Spatial Reasoning for Utility Compliance Checking”, Journal of Construction Engineering and Management, 142(12).
Li, S., Cai, H., and Kamat, V.R., (2016). “Uncertainty-Aware Geospatial System for Mapping and Visualizing Underground Utilities”, Automation in Construction, 53, 105-119.
Li, S., Cai, H., Abraham, D.M., and Mao, P., (2016). “Estimating Features of Underground Utilities: Hybrid GPR/GPS Approach”, Journal of Computing in Civil Engineering, 30(1).