About me
Dr. Jia-Rui Lin is currently an 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 Department of Civil Engineering, Tsinghua University as a faculty member. 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), deep learning, and robotics. He is committed to improving design and construction quality of building, and optimizing the performance and resilience of built environment via 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 more than 20 projects, and has co-authored more than 100 peer-reviewed journal and conference papers, 4 book chapters. He also holds more than 20 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).
Winner in 2023 buildingSMART openBIM Awards
We are the winner in the category of professional research of bSI OpenBIM Awards 2023 >>> 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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A Text Classification-based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes
Zheng, Z., Zhou, Y.C., Chen, K.Y., Lu, X.Z., She, Z.T., Lin, J.R.* (2024). A Text Classification-based Approach for Evaluating and Enhancing the Machine Interpretability of Building Codes. Engineering Applications of Artificial Intelligence, 127PA, 107207. doi: 10.1016/j.engappai.2023.107207
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A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy
Jiang, C., Liang, X., Zhou, Y.C., Tian, Y., Xu, S, Lin, J.R.*, Ma, Z., Yang S., Zhou, H. (2023). A Multilayer Perceptron-based Fast Sunlight Assessment for the Conceptual Design of Residential Neighborhoods under Chinese Policy. Building and Environment, 244, 110739. doi: 10.1016/j.buildenv.2023.110739
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Research and Application of Intelligent Design Review
Lin, J.R.*, Zhou, Y.C., Zheng, Z., Lu, X.Z. (2023). Research and Application of Intelligent Design Review. Engineering Mechanics, 40(7), 25-38. doi: 10.6052/j.issn.1000-4750.2021.11.0908
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Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning
Yang, C., Zheng, Z., Lin, J.R.* (2023). Automatic Design Method of Building Pipeline Layout Based on Deep Reinforcement Learning. 30th International Conference on Intelligent Computing in Engineering (EG-ICE 2023), 42-51. London, UK.
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 @)