About me
Dr. Jia-Rui Lin is currently a research assistant professor at the Disaster Prevention and Mitigation Institute of Tsinghua University, and concurrently the director of the Mechanics Computing and Simulation Laboratory of the Mechanics Experimental Teaching Center of Tsinghua University. He also serves as the general secretary of Professional Committee for Building Information Modeling, China Graphics Society. Dr. Lin obtained his bachelor’s degree (2011) and Ph.D. (2016) from the Department of Civil Engineering of Tsinghua University. After finished his postdoctoral research in 2018, he joined the New Technologies for Disaster Prevention and Mitigation Group of Tsinghua University. Dr. Lin was also visiting scholars of Stanford University, RWTH-Aachen University and University of Southern California.
His research interests are information technology for building and civil engineering, including smart/intellignet construction, building information model (BIM), augmented reality (AR) ,cloud computing and internet of things (IoT). He is committed to optimizing performance and improving decision-making process in the construction, operation, maintenance, and disaster prevention of buildings and infrastructures through advanced information technology. In 2016, he was selected as a receiver of Young Elite Scientists Sponsorship Program by the China Association for Science and Technology. At the end of 2018, Dr. Lin was awarded the second prize of the China Construction Science and Technology Award and the third prize of Beijing Science and Technology Award. Recently, He was awarded the second prize of Science and Technology Award of Shanghai Society of Civil Engineering. Dr. Lin also won the first prize of 8th Teaching Competition for Young Faculties in Tsinghua and the third prize of the 11th Teaching Competition for Young Faculties in Beijing in 2018 and 2019 respectively.
Recently, he was granted by the national natural science foundation, national key R&D program, Beijing natural science foundation, etc. for about 10 projects, and he has successfully finished about 10 projects funded by the national key R&D Program, national science foundation of China and other organizations, and has co-authored more than 60 peer-reviewed journal and conference papers, 4 book chapters. He also holds 15 software copyrights.
Join Us
Our group welcome application for research assistant, postdoctoral fellow in the field of construction informatics, civil engineering, please email me for detail with your CV (email address could be found at the end of this page).
Call for Papers: 3D CV and Smart Building/City
Multiple SCI-indexed journals are involved, submission before Jan 20, 2024 >>> Learn More
Human-Robot Collaboration and its Impact on Productivity
A multi-fidelity modeling approach is proposed, which shows the complexity of HRC >>> Learn More
Best Practice for Automatic Compliance Checking
A framework for proactive ARC is proposed, which chould interactively generate design suggestions based on ARC >>> Learn More
Fire Load Recognition based on Deep Learning
Mask-RCNN based indoor fire load recognition method and open dataset are developed >>> Learn More
News
Recent Publications
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Transforming Knowledge Management in the Construction Industry through Information and Communications Technology: A 15-year Review
Deng, H., Xu, Y.W., Deng, Y.C., Lin, J.R. (2022). Transforming Knowledge Management in the Construction Industry through Information and Communications Technology: A 15-year Review. Automation in Construction, 142, 104530. doi: 10.1016/j.autcon.2022.104530
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Knowledge-Informed Semantic Alignment and Rule Interpretation for Automated Compliance Checking
Zheng, Z., Zhou, Y.C., Lu, X.Z., Lin, J.R.* (2022). Knowledge-Informed Semantic Alignment and Rule Interpretation for Automated Compliance Checking. Automation in Construction, 142, 104524. doi: 10.1016/j.autcon.2022.104524
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SODA: A Large-scale Open Site Object Detection Dataset for Deep Learning in Construction
Duan, R., Deng, H., Tian, M., Deng, Y.C., Lin, J.R. (2022). SODA: A Large-scale Open Site Object Detection Dataset for Deep Learning in Construction. Automation in Construction, 142, 104499. doi: 10.1016/j.autcon.2022.104499
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Integrating NLP and Context-Free Grammar for Complex Rule Interpretation towards Automated Compliance Checking
Zheng, Z., Zhou, Y.C., Lin, J.R.*, Lu, X.Z. (2022). Integrating NLP and Context-Free Grammar for Complex Rule Interpretation towards Automated Compliance Checking. Computers in Industry, 142, 103746. doi: 10.1016/j.compind.2022.103746
Recent Talks
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Simulating Human-Robot Collaboration in Construction using Agent-based Modeling
Talk at The 2nd National Conference on Computing and Simulation Technology in Civil Engineering, Beijing, China
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Automatic Rule Extraction based on NLP for Compliance Checking
Talk at The 2nd National Conference on Computing and Simulation Technology in Civil Engineering, Beijing, China
Recent Projects
Recent Teaching Activities
Contact me
TEL:86-10-62789225 E-mail: lin611(AT)tsinghua.edu.cn (replace AT with @)