UNIVERSITY OF HONG KONG
FACULTY OF ARCHITECTURE

Chen, Junjie 陳俊杰

BEng; MEng; PhD TJU; Aff.M.ASCE, MIEEE, MCHES

Dr. Junjie Chen is a research assistant professor in the Department of Real Estate and Construction at HKU. Before his current position, he has been a postdoctoral fellow from 2020 to 2022 at HKU. He obtained his PhD in hydraulic engineering from Tianjin University in 2020, and was a visiting researcher at the University of Tennessee, Knoxville from 2018 to 2019. His research work on “smart inspection using robotic, AI, and BIM” was awarded a nationwide excellent doctoral dissertation in 2022, and selected as an invited talk at the “AI and BIM” session of Eastman Symposium in 2021. Dr. Chen has published more than 30 papers on international journals and conferences, including on top journals such as Computer-Aided Civil and Infrastructure Engineering, Resources, Conservation and Recycling, Automation in Construction, Building and Environment. He has co-authored a book (second in order), and obtained five patents.

He is a member of the American Society of Civil Engineers (ASCE), Institute of Electrical and Electronics Engineers (IEEE), and the Chinese Hydraulic Engineering society (CHES).

Dr. Chen’s research covers a broad area in construction informatics and built environment. He is particularly interested in:

  • Smart building/infrastructure maintenance;
  • Robotics and AI in facility management, modular construction, and construction waste management;
  • Digital twin construction site.

Selected publications:

  • Chen, J. *, Lu, W., & Lou, J. (2022). Automatic concrete defect detection and reconstruction by aligning aerial images onto semantic-rich building information model. Computer-Aided Civil and Infrastructure Engineering, accepted
  • Junjie Chen, Shuai Li, Donghai Liu, and Weisheng Lu, Indoor Camera Pose Estimation via Style-Transfer 3D Models, Computer-Aided Civil and Infrastructure engineering (2021) 1–19. https://doi.org/10.1111/mice.12714
  • Qi, Z., Liu, D., Zhang, J., & Chen, J. (2022). Micro-concrete crack detection of underwater structures based on convolutional neural network. Machine Vision and Applications, 33 (5), 74. http://dx.doi.org/10.1007/s00138-022-01327-5
  • Chen, J., Lu, W., & Dong, Z. (2022). Monocular vision-enabled 3D truck reconstruction: A novel optimization approach based on parametric modeling and graphics rendering. Journal of Computing in Civil Engineering, 36 (5), 04022027. https://doi.org/10.1061/(ASCE)CP.1943-5487.0001041
  • Chen, J., Li, S., & Lu, W. (2022). Align to locate: Registering photogrammetric point clouds to BIM for robust indoor localization. Building and Environment, 209, 108675. https://doi.org/10.1016/j.buildenv.2021.108675
  • Lu, W., & Chen, J. * (2022). Computer vision for solid waste sorting: A critical review of academic research. Waste Management, 142 (6), 29-43. https://doi.org/10.1016/j.wasman.2022.02.009
  • Junjie Chen, Weisheng Lu, Liang Yuan, Yijie Wu, and Fan Xue, Estimating Construction Waste Truck Payload Volume Using Monocular Vision, Resources, Conservation and Recycling 177 (2022) 106013. https://doi.org/10.1016/j.resconrec.2021.106013
  • Weisheng Lu, Junjie Chen *, and Fan Xue, Using computer vision to recognize composition of construction waste mixtures: A semantic segmentation approach, Resources, Conservation and Recycling 178 (2022) 106022. https://doi.org/10.1016/j.resconrec.2021.106022
  • Junjie Chen, Shuai Li, Weisheng Lu, Donghai Liu, Da Hu, and Maohong Tang. “Markerless Augmented Reality for Facility Management: Automated Spatial Registration based on Style Transfer Generative Network.” In 38th International Symposium on Automation and Robotics in Construction 2021, Dubai, UAE.
  • Chen, J., Lu, W., & Xue, F. (2021). “Looking beneath the surface”: A visual-physical feature hybrid approach for unattended gauging of construction waste composition. Journal of Environmental Management, 286, 112233. https://doi.org/10.1016/j.jenvman.2021.112233
  • Chen, J., & Liu, D (2020). Bottom-up image detection of water channel slope damages based on superpixel segmentation and support vector machine. Advanced Engineering Informatics, 47, 101205. https://doi.org/10.1016/j.aei.2020.101205

Research Heighlights:

Concrete defect detection and reconstruction enabled by building information model (BIM)
Concrete defect detection and reconstruction enabled by building information model (BIM)
BIM-based robot positioning for facility management
BIM-based robot positioning for facility management
Smart building/infrastructure inspection using drones, BIM, and AI
Smart building/infrastructure inspection using drones, BIM, and AI
Computer vision in construction waste composition estimation
Computer vision in construction waste composition estimation
Cyber-physical system/Digital twin for smart construction
Cyber-physical system/Digital twin for smart construction

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