Jie Gong

Professor Jie Gong is a distinguished academic contributing to breakthroughs in the field of Civil and Environmental Engineering at Rutgers University. With a robust educational foundation, he earned his Ph.D. in Civil Engineering from the University of Texas at Austin, an M.S. from Texas Tech University, and a B.S. from Shanghai Jiao Tong University. His academic journey has equipped him with a diverse skill set that he applies to his research and teaching. Professor Gong's research interests are centered around the development and application of intelligent sensing and computing methods. His work is pivotal in the collection, retrieval, and discovery of information from various systems, including infrastructure, environmental, and social systems. This interdisciplinary approach allows him to address complex challenges in modern engineering. Currently, Professor Gong is deeply engaged in research that focuses on pattern recognition and data mining. His efforts in this area aim to enhance the efficiency and effectiveness of construction production systems. Additionally, he is involved in infrastructure data modeling, which plays a crucial role in the planning and maintenance of civil structures. Another significant aspect of Professor Gong's research is automated construction quality control. By integrating advanced technologies, he seeks to improve the standards and processes within the construction industry. His work in building energy auditing is also noteworthy, as it contributes to the development of sustainable and energy-efficient building practices. Through his innovative research and dedication to education, Professor Jie Gong continues to make significant contributions to the field of Civil and Environmental Engineering, influencing both academic circles and industry practices. His work not only advances theoretical knowledge but also has practical implications for the future of infrastructure and environmental management.