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Shuai Li.

Shuai Li

Assistant Professor


Shuai Li joined UT as an assistant professor of civil and environmental engineering in August 2017. He graduated from Purdue University with a PhD degree in civil engineering, a master's degree in industrial engineering, and a master's degree in economics. He also holds a bachelor’s degree in hydraulics and hydroelectric engineering, and a bachelor’s degree in project management. With the diverse expertise, his laboratory focuses on developing novel methods in sensing, automation and robotics, artificial intelligence, visualization, big data analytics, and socio-techno-economic assessment to address fundamental challenges in engineering, life science, and management.


  • Public-Private-People Partnership for Interdependent Infrastructure Investments
  • Health-Promoting Intelligent Building and Civil Infrastructure Systems
  • Cyber-Eco Additive Manufacturing Technologies
  • Autonomous Vehicles and Robotics
  • In Silico Modeling and Simulation


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

Professional Service

  • Guest editor for Journal of Infrastructure Systems
  • Reviewer for Journal of Banking and Finance; International Journal of Forecasting; Automation in Construction; Advanced Engineering Informatics; Building and Environment; Transportation Research Part A: Policy and Practice; Transportation Research Part E: Logistics and Transportation Review; Journal of Cleaner Production; Journal of Computing in Civil Engineering; Journal of Management in Engineering; and Journal of Infrastructure Systems.

Awards and Recognitions

  • Collingwood Prize, American Society of Civil Engineers, 2018
  • Outstanding Reviewer, Journal of Computing in Civil Engineering, 2017
  • Marry Ann Zimmerman Innovation Award, Purdue University, 2017
  • Pai Tao Yeh Fellowship, Purdue University, 2017
  • Pai Tao Yeh Fellowship, Purdue University, 2015


Select publications below. Visit Li's Google Scholar profile for a complete list.

Cai, J., Jeon, J., Cai, H., & Li, S. (2020). "Fusing Heterogeneous Information for Underground Utility Map Generation Based on Dempster-Shafer Theory." Journal of Computing in Civil Engineering34(3), 04020013.

Kizito, R., Li, X., Sun, K., & Li, S. (2020). "Optimal Distributed Generator Placement in Utility-Based Microgrids During a Large-Scale Grid Disturbance." IEEE Access8, 21333-21344.

Hu, D., Li, S., Chen, J., & Kamat, V. R. (2019). "Detecting, locating, and characterizing voids in disaster rubble for search and rescue." Advanced Engineering Informatics42, 100974.

Li, S., Cai, J., & Cai, H. (2019). "Infrastructure privatization analysis: A public-private duopoly game." Transport Policy83, 80-87.

Li, S., Hu, D., Cai, J., & Cai, H. (2019). "Real option-based optimization for financial incentive allocation in infrastructure projects under public-private partnerships." Frontiers of Engineering Management, 1-13.

Chen, J., Liu, D., Li, S., & Hu, D. (2019). "Registering georeferenced photos to a building information model to extract structures of interest." Advanced Engineering Informatics42, 100937.

Li, S., Cai, J., Feng, Z., Xu, Y., & Cai, H. (2019). "Government contracting with monopoly in infrastructure provision: Regulation or deregulation? "Transportation Research Part E: Logistics and Transportation Review, 122, 506-523.

Cai, J., Li, S., & Cai, H. (2019). "Empirical Analysis of Capital Structure Determinants in Infrastructure Projects under Public–Private Partnerships." Journal of Construction Engineering and Management, 145(5), 04019032.

Liu, D., Chen, J., & Li, S. (2018). "Collaborative Operation and Real-Time Control of Roller Fleet for Asphalt Pavement Compaction." Automation in Construction, 98, 16-29.

Yuan, C., Li, S., Cai, H., & Kamat, V. R. (2018). "GPR Signature Detection and Decomposition for Mapping Buried Utilities with Complex Spatial Configuration." Journal of Computing in Civil Engineering, 32(4), 04018026.

Liu, D., Chen, J., Li, S., & Cui, W. (2018). "An integrated visualization framework to support whole-process management of water pipeline safety." Automation in Construction, 89, 24-37.

Li, S., Cao, Y., & Cai, H. (2017). "Automatic pavement-crack detection and segmentation based on steerable matched filtering and an active contour model." Journal of Computing in Civil Engineering, 31(5), 04017045.

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).

Shuai Li.

Contact Information

  • 425 John D. Tickle Building
  • Phone: 865-974-2355
  • E-mail: