Awards and Publications

Awards

1. (2023) Merit Award (Professional Research Category), the Hong Kong openBIM/openGIS Award 2023, awarded by the Hong Kong Alliance of Built Asset and Environment Information Management Associations (HKABAEIMA) and the Hong Kong Chapter of buildingSMART International, for the project “Security-minded openBIM CDE for Building Data Management Using Encryption and Dsitributed Ledger Technology”

2. (2022) Winner in the Category of Professional Research, buildingSMART openBIM Awards Program 2022, awarded by buildingSMART International, for the project “Secure openCDE with Blockchain for HKUST Campus-wide Digital Twin with openBIM and openGIS Applications”

3. (2022) Grand Award (Research Category), the Hong Kong openBIM/openGIS Award 2022, awarded by the Hong Kong Alliance of Built Asset and Environment Information Management Associations (HKABAEIMA) and the Hong Kong Chapter of buildingSMART International, for the project “Secure openCDE with Blockchain for HKUST Digital Twin with openBIM and openGIS Applications”

4. (2021) CIC Construction Digitalisation Gold Award 2021 (Training / Research Institute Category), awarded by the Hong Kong Construction Industry Council (CIC), for the Hong Kong University of Science and Technology and HKUST BIM Lab

5. (2021) BIM Gold Award (Education Institutions and Training Providers Category), awarded by the Hong Kong Institute of Building Information Modeling (HKIBIM), for the Hong Kong University of Science and Technology

6. (2020) CIC BIM Organization Award, awarded by the Hong Kong Construction Industry Council (CIC), for the Hong Kong University of Science and Technology (HKUST BIM Lab)

7. (2020) CIC BIM Project Award, awarded by the Hong Kong Construction Industry Council (CIC), for the project “Digital Twin for HKUST Campus”


Publications

1. Chen, W., Chen, K., and Cheng, J.C.P. (2022). "From BIM to digital twin: The core for sustainable smart campus at HKUST." Research Companion to Building Information Modeling, W. Lu and C. J. Anumba, eds., Edward Elgar Publishing, 768 pages.

2. Poon, K.H., Wong, P.K.-Y.*, and Cheng, J.C.P.* (2022). "Long-time gap crowd prediction using time series deep learning models with two-dimensional single attribute inputs." Advanced Engineering Informatics, 51, 101482.

3. Zhang, J., Cheng, J.C.P.*, Chen, W., and Chen, K. (2022). "Digital twins for construction sites: concepts, LoD definition, and applications." ASCE Journal of Management in Engineering, 38(2), 04021094.


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