Jie Gong

Jie Gong

Associate Professor

Civil and Environmental Engineering

Office:RWH 420D
Website: RISE Research Group

Jie Gong, Ph.D., is an Associate Professor in the Department of Civil and Environmental Engineering at Rutgers University. Prior to joining Rutgers University, he worked as an Assistant Professor at Southern Illinois University in Edwardsville from 2010 to 2012. He received his Ph.D. degree in Civil Engineering from the University of Texas at Austin in 2009, his M.S. degree from Texas Tech University, and his B.S. degree from Shanghai Jiao Tong University. He has three years of professional working experiences as a geotechnical engineer on projects ranging from tunneling to rapid public transit systems.

Gong’s general research interest is in the field of community resilience and sustainability. His recent research focuses on two fronts: (1) using geospatial big data and developing data analytics to support disaster response and data collection, damage assessment and modeling, vulnerability assessment and visualization, risk analysis for critical infrastructure, and debris removal and management; and (2) sensing, building data modeling, and analytics for high performance building systems. He has extensive experience in the areas of remote sensing, structural forensics, building information modeling, data fusion and visualization, and pattern recognition. Dr. Gong has been the principal investigator and co-principal investigator for research projects funded by the National Science Foundation, U.S. Department of Housing and Urban Development, U.S. Department of Transportation, the New Jersey Department of Transportation, the New Jersey Board of Public Utility, and the Illinois Department of Transportation. His research has been supported by industry organizations and companies such as Bentley Systems and St. Louis Masonry Institute.


Ph.D., The University of Texas at Austin
M.S., Texas Tech University
B.S., Shanghai Jiao Tong University


• Travel Grant for North America-East Asia NSF Workshop on Big Data Analytics for Infrastructure and Building Sustainability and Resilience (IBSR) Research, 2014
• A. Walter Tyson Assistant Professorship Award, Rutgers, 2014
• 2013 Outstanding Reviewer for ASCE Journal of Computing in Civil Engineering
• Distinguish Engineering Award, New Jersey Alliance for Action, 2013
• Travel Grant for NSF Workshop on Sciences behind Sustainability Quantification for Building
• and Infrastructure Design, Engineering and Construction (S2QBIDEC), 2012
• 2010 Best Paper Award of ASCE Journal of Computing in Civil Engineering, 2011
• 2011 Outstanding Teaching Award at Southern Illinois University Edwardsville

Professional Affiliations

  • Associate member, American Society of Civil Engineering, USA, 2010-Present
  • Member of the Building Information Modeling Committee of the Associate General Contractor (AGC) - St. Louis
  • Member of the Advisory Committee for the 2011 and 2012 Building Information Modeling Exposition in St. Louis
  • Member of Sigma Lambda Chi, the International Honor Society for Constructors Upsilon - 2 Chapter
  • Member, Construction Research Council (CRC) – American Society of Civil Engineers (ASCE)
  • Member of ASCE Visualization, Information Modeling, and Simulation (VIMS) Committee (2011 - )
  • Member of ASCE TCCIT Education Committee - American Society of Civil Engineers (2011 - )

Research Interests

Community Resilience, Disaster Preparedness, and Critical Infrastructure Protection
• Remote Sensing and Big Geospatial Data Analytics
• Statistical Learning and Risk Analysis
• Computational Disaster Debris Management
Green Building and Energy Sustainability
• Building Energy Performance Assessment
• Building/Civil/City Information Modeling
• Energy Demand Modeling
Construction Engineering and Management
• Intelligent and Automated Job Site
• Construction Productivity

Selected Publications

Recent Publications
• Gong, J. and Maher, A. (2014) “Mobile LiDAR-based Approaches for Assessing Hurricane Damages and Visualizing Resiliency Rebuilding Needs” Recommended for Publication in Journal of Transportation Research Board, TRB, 2014 (in press)
• Jalayer, M., Gong, J., Zhou, H., and Grinter, M. (2014) “Evaluation of Remote Sensing Technologies for Collecting Roadside Feature Data to Support Highway Safety Manual Implementation” Journal of Transportation Safety and Security (in press)
• Gong, J. and Caldas, C. H. (2010) “A Computer Vision Based Video Interpretation Method for Automated Productivity Analysis of Construction Operations.” ASCE Journal of Computing in Civil Engineering 24 (3), 252-263. (2010 best paper)