题目：Automated Code Compliance Checking  

演讲人： Dr. Jiansong Zhang

时间：2018年6月12日 9:00 – 10:00

地点：同济大厦A楼408室

讲座摘要

Automation in regulatory compliance in the AEC domain can be dated back to 1960s when Fenves et al. (1969) digitized American Institute of Steel Construction (AISC) specifications into decision tables. Full automation is still not achieved due to the gaps in a formal, computer-interpretable, inference engine-independent, user-understandable and testable, and unambiguous representation for construction regulations, and extraction methods from textual regulations into this representation. This research develops a fully automated building code compliance checking system built on natural language processing (NLP), semantic modeling, logic-based reasoning, and BIM technologies.

演讲人简介

Dr. Jiansong Zhang earned his Bachelor of CM from Huazhong University of Science and Technology in Wuhan, China (2009), his M.Sc. in CEE from Carnegie Mellon University (2010), and Ph.D. in Civil Engineering from the University of Illinois at Urbana-Champaign (2015). He is a member of ASCE, ASEE, and active in ASCE Data Sensing and Analysis (DSA) Committee, Visualization, Information Modeling, and Simulation (VIMS) Committee, and Technical Council on Computing and Information Technology (TCCIT) Education Committee. He was elected Member-at-Large of the ASCE DSA committee in 2017. He is also a member of the buildingSMART linked data working group and regulatory interoperability working group. He serves as a reviewer of ASCE Journal of Computing in Civil Engineering (since 2015), ASCE Journal of Construction Engineering and Management (since 2015), ASCE Journal of Management in Engineering (since 2017), Journal of Automation in Construction (since 2017), Journal of Building and Environment (since 2017), and several international/national conferences (CRC 2016, CRC 2018, CIB-W78 2018, ICSDEC 2016, ICCCBE 2016, WTC 2017, IWCCE 2017, ASC 2017). Dr. Zhang has research interests in developing and leveraging advanced technologies to support construction engineering and management, construction automation, and sustainable infrastructure, including building information modeling (BIM), artificial intelligence (AI) [i.e., natural language processing (NLP), machine learning, and automated reasoning], virtual reality (VR), and construction robotics. His research has been sponsored by Federal and State agencies such as Transportation Research Center for Livable Communities and the National Science Foundation.