Rutgers logo
Department of Civil and Environmental Engineering
Rutgers logo
Department of Civil and Environmental Engineering

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

Honors

•    Travel Grant for North America-East Asia NSF Workshop on Big Data Analytics for Infrastructure and Building Sustainability and Resilience (IBSR) Research, 2014
•    Walter Tyson Assistant Professorship Award, Rutgers, 2014
•    Outstanding Reviewer for ASCE Journal of Computing in Civil Engineering, 2013 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
•    Best Paper Award of ASCE Journal of Computing in Civil Engineering, 2010
•    Outstanding Teaching Award at Southern Illinois University Edwardsville, 2011

 

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 American Society of Civil Engineers (ASCE) Visualization, Information Modeling, and Simulation (VIMS) Committee, 2011 -
•    Member of American Society of Civil Engineers (ASCE) Technical Council for Computing and Information Technology (TCCIT) Education Committee, 2011 -

 

Education

•    Ph.D., The University of Texas at Austin, 2009
•    M.S., Texas Tech University
•    B.S., Shanghai Jiao Tong University

 

Summary

Prior to joining Rutgers University, Jie Gong 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. He also is an expert in building-information modeling for construction applications.

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. 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.