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 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 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. He 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 9 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 published more than 50 peer-reviewed journal and conference papers. He also holds 8 software copyrights. Main contributions include:
- A BIM model targets the whole building lifecycle, which can integrate design information, performance simulation, and sensing data into a single model. The model was tested in the simulation and sensing of building performance and structural performance of bridges.
- BIM-based cloud platform for buildings and infrastructures: a hybrid cloud platform is designed and implemented based on NoSQL databases (including MongoDB and HBase), which can process, search and visualize large-scale information models, and can also integrate data from multi-stakeholders while keeps their data ownership.
- Spatial-semantic data mining of BIM: proposed a series methods for multi-aspect similarity evaluation of BIM models, operation & maintenance data mining, and on-site inspection data mining, which can improve the efficiency of residential design, construction management, and maintenance.
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).
News
Recent Publications
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Current Status and Trends of BIM in China based on Big Data and Search Engine
Lin, J.R.*, and Cheng, G.F. (2020). "Current Status and Trends of BIM in China based on Big Data and Search Engine" Construction Technology. 49(9): 96-99. doi: 10.7672/sgjs2020090096
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A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data from Tunnel Boring Machines
Leng, S., Lin, J.R., Hu, Z.Z.*, and Shen, X. (2020). "A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data from Tunnel Boring Machines" IEEE Access. 8: 90430-90449. doi: 10.1109/ACCESS.2020.2994115
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A bibliometric review of visual computing in construction industry
Wang, H.W., Hu, Z.Z., and Lin, J.R.* (2020). "A bibliometric review of visual computing in construction industry" Visual Computing for Industry, Biomedicine, and Art. 3: 14. doi: 10.1186/s42492-020-00050-0
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Semantic classification and hash code accelerated detection of design changes in BIM models
Lin, J.R.*, and Zhou, Y.C. (2020). "Semantic classification and hash code accelerated detection of design changes in BIM models" Automation in Construction. 115: 103212. doi: 10.1016/j.autcon.2020.103212
Recent Talks
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Policies, Standards, Practice and Trends of BIM in China
Talk at Seminar on the Application of BIM in Lifecycle Management, Chongqing, China
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Development of Smart BIM Platform for Construction Projects
Keynote at Conference on Application of Information Technology in Electric Power Engineering, Haikou, Hainan, China
Recent Projects
Recent Teaching Activities
Contact me
TEL:86-10-62789225 E-mail: lin611(AT)tsinghua.edu.cn (replace AT with @)