Carnegie Mellon University

Pingbo Tang, P.E.

Pingbo Tang, P.E. (E 2009)

Associate Professor, Civil and Environmental Engineering

  • Porter Hall 123F
Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Bio

Pingbo Tang, Ph.D., is an associate professor in the Department of Civil and Environmental Engineering. He founded and is directing Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). He obtained his Bachelor’s Degree in Civil Engineering in 2002, and his Master’s Degree in Bridge Engineering in 2005, both from Tongji University, Shanghai, China. He obtained his Ph.D. from the group of Advanced Infrastructure Systems (AIS) at Carnegie Mellon University in 2009.

Tang is an expert on civil infrastructure operations and human systems engineering for civil infrastructure operational safety. His research explores remote sensing, human systems engineering, and information modeling technology in support of the spatiotemporal analyses needed for the effective management of workspaces, constructed facilities, and civil infrastructure systems. His ongoing studies have been examining sensing and modeling methods for comprehending the Human-Cyber-Physical-Systems (H-CPS) in accelerated construction and infrastructure operations (e.g., airport operations, power plant operations, water treatment plant control). He has published more than 100 peer-reviewed articles in these areas. The National Science Foundation (NSF), Department of Energy (DOE), The National Aeronautics and Space Administration (NASA), and the industry have funded his research efforts.

Tang holds memberships or leadership positions of the American Society of Civil Engineers (ASCE, the Vice-Chair of the Computing Division Executive Committee), TRB (Committee on Bridge Management, AHD35), and ASTM International (Committee E57: 3D imaging systems). He is serving on the editorial boards of multiple journals (e.g., ASCE Journal of Computing in Civil Engineering), and as a reviewer of multiple top journals and conferences related to Computing in Civil Engineering. He won best paper awards at top conferences (e.g., the 2019 ASCE International Conference on Computing in Civil Engineering), the 2013 Recent Alumnus Achievement Award of the Civil and Environmental Engineering Department at Carnegie Mellon University, and the Daniel W. Halpin Award for Scholarship in Construction from the American Society of Civil Engineers in 2020. Tang won the National Science Foundation CAREER Award in 2015.

Education

PhD 2009 – Carnegie Mellon University
MS 2005 – Tongji University, China
BS 2002 – Tongji University, China

Research

Research Group: AIS

  • Computer vision, pattern recognition, and data science for civil infrastructure systems
  • Human technology and human systems engineering in civil engineering
  • Automation and robotics in construction and civil infrastructure operations

Publications

  • Xiong, R., and Tang, P.* (2021). “Pose guided anchoring for detecting proper use of personal protective equipment.” Automation in Construction, Elsevier, 130, 103828. DOI: 10.1016/J.AUTCON.2021.103828
  • Chen, J., Tang, P.*, Rakstad, T., Patrick, M., and Zhou, X. (2020). “Augmenting a deep-learning algorithm with canal inspection knowledge for reliable water leak detection from multispectral satellite images.” Advanced Engineering Informatics, Elsevier, 46, 101161, DOI: 10.1016/j.aei.2020.101161.
  • Sun, Z., Xing, J., Tang, P.*, Cooke, N. J., and Boring, R. L. (2020). “Human Reliability for Safe and Efficient Civil Infrastructure Operation and Maintenance – A Review.” Developments in the Built Environment, Elsevier BV, 100028, DOI: 10.1016/j.dibe.2020.100028
  • Sun, Z., Zhang, C., and Tang, P.* (2020). “Modeling and simulating the impact of forgetting and communication errors on delays in civil infrastructure shutdowns.” Frontiers of Engineering Management, Springer Science and Business Media LLC, 1–13. DOI: 10.1007/s42524-019-0084-6
  • Wang, Y., Liao, P. C., Zhang, C.*, Ren, Y., Sun, X., and Tang, P.* (2019). “Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety.” Advanced Engineering Informatics, Elsevier Ltd, 42, DOI: 10.1016/j.aei.2019.101001 

Courses

  • 12-411 Project Management Engineering Construction
  • 12-411 Construction Project Management
  • 12-711 Building Information Models

Pingbo Tang: Creating AI Assistants for a Safer World

Pingbo Tang discusses his work to create AI assistants that support infrastructure jobs, such as air traffic controlling and construction logistics.