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Junjie Chen

Dr. Junjie Chen

Junjie Chen, PhD

Assistant Professor, iLab Deputy Director

Aff.M.ASCE, M. IEEE, M. CHES

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Hi, my name is Junjie Chen. I am an assistant professor in the Department of Real Estate and Construction at The University of Hong Kong. Before my current position, I was a RAP and postdoc at HKU. I am an academic with broad interests in subjects related to AI, robotics, and their use in the built environment. My work lies at the intersection of engineering, facility management, artificial intelligence, and social science, focusing on robotics in the built environment, smart facility management, human-robot co-existence, and social robotics.

Research Interests

My research covers a broad area in smart and sustainable construction and built environment: Building Information Modeling (BIM), Computer Vision, Machine Learning, Intelligent Compaction, and building and infrastructure inspection.

 

My recent interests focus on two particular areas: (a) smart facility management via technological empowerments, and (b) social robotics and human-robot co-existence. 

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Publications

Zhong, J., Chen, J. *, Lu, W. (2026). Few-shot defect contextualization using dual-branch vision foundation models for indoor defect detection and reconstruction. Automation in Construction, 187, 106921. 

https://doi.org/10.1016/j.autcon.2026.106921

Huang, Z., Lu, W., Chen, J. *, & Xie, Y. (2026). Large-scale building dilapidation assessment for high-density cities: An urban visual intelligence approach. Cities, 168, 106435. 

https://doi.org/10.1016/j.cities.2025.106435

Chen, J., Lu, W., Ji, X., & Fu, Y. (2025). Improving interoperability in robot digital twinning for facility management: An industry foundation class-represented RoboAvatar approach. Computers in Industry, 173, 104384. https://doi.org/10.1016/j.compind.2025.104384

Chen, J., Lu, W., Pan, Y., & Fu, Y. (2024). Building “RoboAvatar”: Industry Foundation Classes–Based Digital Representation of Robots in the Built Environment. Journal of Computing in Civil Engineering, 38(4), 04024013. https://doi.org/10.1061/JCCEE5.CPENG-5723

Contact
Information

Dept. of Real Estate and Construction
The University of Hong Kong

515, Knowles Building, Pokfulam Road, Hong Kong

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