Sin-Chi Kuok

State Key Laboratory of Internet of Things for Smart City
Department of Civil and Environmental Engineering, Faculty of Science and Technology
Guangdong-Hong Kong-Macau Joint Laboratory for Smart City
University of Macau, Macau, China


*Join Our Team*

We have exciting opportunities for Ph.D. and Postdoc Fellow candidates who are exceptional, highly motivated and intellectually curious. If you are interested in joining us, please contact me: sckuok[at]um.edu.mo

1. Recommended Direct Admission (招收推薦免試攻讀博士學位及碩士學位課程): 

Application deadline: October (1st batch) and March (2nd batch*) of each year; Please find more details at the Graduate School.

2. Ph.D. Program: 

The applicant should have a bachelor’s or master’s degree with proven academic records. Excellent applicants will be awarded UM Macao PhD Scholarship (MOP 20,000 per month) and Ph.D. Assistantship (up to MOP 14,000 per month). Application deadline: February & May of each year.

3. Post-doctoral fellow position: 

Please contact us for feasibilities. All the eligible applicants will be funded by UM Macao Postdoctoral Fellowship (MOP 40,000 per month) and Postdoctoral Associateship (MOP 28,000 per month). Application opens throughout the year.

4. IOTSC/Research Project Funded Ph.D. Students and Post-doc Fellow Position: 

Application deadline: October (1st batch) and March (2nd batch*) of each year; Ph.D. Scholarship (MOP 12,500 per month) and Post-doc associateship (MOP 25,000 per month).

Applicants should obtain Proof of English Proficiency. 

* For application with two batches, an early application is encouraged. 

Working Experience

  • 2021 – present         Assistant Professor, University of Macau, Macau, China
  • 2020 – 2021             Academic Visitor, University of Cambridge, United Kingdom
  • 2018 – 2019             Academic Visitor, University of Oxford, United Kingdom
  • 2015 – 2016             Visiting Scientist, Cornell University, United States
 

Research Interests

  • Bayesian inference
  • Machine learning
  • Metamodeling
  • Structural health monitoring
  • System identification
 

Selected Publications

International Journal Papers
  1. Kuok, S. C., Yuen, K. V., Dodwell, T., and Girolami, M. (2024). Generative broad Bayesian (GBB) imputer for missing data imputation with uncertainty quantification. Knowledge-Based Systems, 112272.
  2. Kuok, S. C., and Yuen, K. V. (2024). Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling. Computer Methods in Applied Mechanics and Engineering, 419, 116680.
  3. Yuen, K. V., and Kuok, S. C. (2024). Telescopic broad Bayesian learning for big data stream. Computer‐Aided Civil and Infrastructure Engineering. (in press)
  4. Li, L., Xu, J., & Kuok, S. C. (2024). Bayesian sparse grid (BSG) approach for information salvage in reliability assessment of deteriorating structures. Reliability Engineering & System Safety, 110329.
  5. Ji, B., Kuok, S. C., and Hao, T. (2024). Machine learning revealing overlooked conjunction of working volume and mixing intensity in anammox optimization. Water Research, 122344.
  6. Ding Z., Kuok S. C., Lei Y., Yu Y., Zhang G., Hu S., and Yuen K. V. (2024). A Novel Bayesian Empowered Piecewise Multi-Objective Sparse Evolution for Structural Condition Assessment, International Journal of Structural Stability and Dynamics, 2550101.
  7. He, S. Y., Kuok, S. C., Tang, C., and Zhou, W. H. (2024). Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB. Transportation Geotechnics, 44, 101179.
  8. Wang, J., Lin, S. Q., Tan, D. Y., Yin, J. H., Zhu, H. H., and Kuok, S. C. (2024). A Novel Method for Integrity Assessment of Soil-Nailing Works with Actively Heated Fiber-Optic Sensors. Journal of Geotechnical and Geoenvironmental Engineering, 150(8), 04024063.
  9. Wang, T., Noori, M., Altabey, W. A., Wu, Z., Ghiasi, R., Kuok, S. C., Silik, A., Farhan, N.S., Sarhosis, V. and Farsangi, E. N. (2023). From model-driven to data-driven: A review of hysteresis modeling in structural and mechanical systems. Mechanical Systems and Signal Processing, 204, 110785.
  10. Silik, A., Noori, M., Ghiasi, R., Wang, T., Kuok, S. C., Farhan, N. S., Dang, J., Wu, Z. and Altabey, W. A. (2023). Dynamic wavelet neural network model for damage features extraction and patterns recognition. Journal of Civil Structural Health Monitoring, 13(4), 925-945.
  11. Wang, T., Li, H., Noori, M., Ghiasi, R., Kuok, S. C., and Altabey, W. A. (2023). Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Engineering Structures, 279, 115576.
  12. Kuok, S. C., Yuen, K. V., Girolami, M. and Roberts, S. (2022). Broad learning robust semi-active structural control: A nonparametric approach. Mechanical Systems and Signal Processing, 162, 108012.
  13. Hao, X. H., Kuok, S. C., and Yuen, K. V. (2022). Wireless sensor network design for large-scale infrastructures health monitoring with optimal information-lifespan tradeoff. Smart Structures and Systems, 30(6), 583.
  14. Hao, X. H., Yuen, K. V., and Kuok, S. C. (2022). Energy‐aware versatile wireless sensor network configuration for structural health monitoring. Structural Control and Health Monitoring, 29(11), e3083.
  15. Zhou, Y., Li, X., Tang, Q., Kuok, S. C., Fei, K., and Gao, L. (2022). An assimilating model using broad learning system for incorporating multi‐source precipitation data with environmental factors over southeast China. Earth and Space Science, 9(4), e2021EA002043.
  16. Kuok, S. C. and Yuen, K. V. (2021). Broad Bayesian learning (BBL) for nonparametric probabilistic modeling with optimized architecture configuration. Computer‐Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12663
  17. Ye, C., Kuok, S. C., Butler, L. J. and Middleton, C. R. (2021). Implementing bridge model updating for operation and maintenance purposes: examination based on UK practitioners’ views. Structure and Infrastructure Engineering, 1-20. https://doi.org/10.1080/15732479.2021.1914115.
  18. Yuen, K. V., Hao X. H. and Kuok, S. C. (2021). Robust sensor placement for structural identification. Structural Control and Health Monitoring, 29 (1), e2861.
  19. Kuok, S. C. and Yuen, K. V. (2020). Multi‐resolution broad learning for model updating using incomplete modal data. Structural Control and Health Monitoring, 27(8), e2571.
  20. Kuok, S. C., Yuen, K. V., Roberts S., and Girolami M. A. (2020). Propagative broad learning for nonparametric modeling of ambient effects on structural health indicators. Structural Health Monitoring: SAGE. 1475921720916923.
  21. Kuok, S. C. and Yuen, K. V. (2020). Model-free data reconstruction of structural response and excitation via sequential broad learning. Mechanical Systems and Signal Processing, 141, 106738.
  22. Kuok, S. C. and Yuen, K. V. (2020). Broad learning system for nonparametric modeling of clay parameters. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 6(2), 04020024. 
  23. Kuok, S. C. and Yuen, K. V. (2020). Broad learning for nonparametric spatial modeling with application to seismic attenuation. Computer‐Aided Civil and Infrastructure Engineering, 35(3) 203-218.
  24. Kuok, S. C. and Yuen, K. V. (2019). Bayesian nonparametric modeling of structural health indicators under severe typhoons and its application to modeling modal frequency. Journal of Aerospace Engineering, 32(4), 04019036.
  25. Yuen, K.V., Kuok, S.C. and Dong, L. (2019). Self‐calibrating Bayesian real‐time system identification. Computer‐Aided Civil and Infrastructure Engineering, 34(9), 806-821.
  26. Zhang, P., Liu, Y., Kuok, S.C., Kan A.T., and Tomson M.B. (2019). Development of modelling approaches to describe mineral scale deposition kinetics in porous medium and pipe flow system. Journal of Petroleum Science and Engineering, 178, 594-601.
  27. Mu, H. Q., Kuok, S. C. and Yuen, K. V. (2017). Stable robust extended Kalman filter (SREKF). Journal of Aerospace Engineering, 30(2), B4016010. 
  28. Kuok, S. C. and Yuen, K. V. (2016). Investigation of modal identification and modal identifiability of a cable-stayed bridge with Bayesian framework. Smart Structures and Systems, 17(3), 445-470.
  29. Mu, H.Q., Yuen, K.V. and Kuok, S.C. (2016). Relevance feature selection of modal frequency-ambient condition pattern recognition in structural health assessment for reinforced concrete buildings. Advances in Mechanical Engineering, 8(8): 1687814016662228.
  30. Yuen, K. V. and Kuok, S. C. (2016). Online updating and uncertainty quantification using nonstationary output-only measurement. Mechanical Systems and Signal Processing, 66-67, 62-77. 
  31. Yuen, K. V. and Kuok, S. C. (2015) Efficient Bayesian sensor placement algorithm for structural identification: a general approach for multi-type sensory systems. Earthquake Engineering & Structural Dynamics, 44(5), 747-774. 
  32. Kuok, S. C., Ng, I. T. and Yuen, K. V. (2015) Study of the attenuation relationship for the Wenchuan Ms 8.0 earthquake. Earthquake Engineering and Engineering Vibration, 14(1), 1-11. 
  33. Yuen, K. V., Liang, P. F. and Kuok, S. C. (2013). Online estimation of noise parameters for Kalman filter. Structural Engineering and Mechanics, 47(3), 361-381. 
  34. Kuok, S. C. and Yuen, K. V. (2012). Structural health monitoring of Canton Tower using Bayesian framework. Smart Structures and Systems, 10(4-5), 375-391. 
  35. Yuen, K. V. and Kuok, S. C. (2011). Bayesian methods for updating dynamic models. Applied Mechanics Reviews-ASME, 64(1), 010802, 1-18.
  36. Yuen, K. V. and Kuok, S. C. (2010). Modeling of environmental influence in structural health assessment for reinforced concrete buildings. Earthquake Engineering and Engineering Vibration, 9(2), 295-306.
  37. Yuen, K. V. and Kuok, S. C. (2010). Ambient interference in long-term monitoring of buildings. Engineering Structures, 32(8), 2379-2386.
 
Encyclopedia and Book Chapters
  1. Kuok, S. C. and Yuen, K. V. (2015). Wind Characteristics of Severe Typhoon and Wind-Induced Structural Behavior of Reinforced Concrete Building in Bayesian Perspective. Typhoons: Risk Prediction, Crisis Management and Economic and Environmental Impacts. Nova Science Publishers, New York, ISBN: 978-1-63463-309-3, pp. 99-118.
  2. Yuen, K. V. and Kuok, S. C. (2013). System Identification and Control in Structural Engineering. Encyclopedia of Life Support Systems (EOLSS). United Nations Educational, Scientific and Cultural Organization (UNESCO), Chapter 6.37.31. Encyclopedia of Life Support Systems, UNESCO, EOLSS Publishers, Paris, France. (http://www.eolss.net)
  3. Yuen, K. V. and Kuok, S. C. (2010). Monitoring a 22-Story Building under Severe Typhoons with Bayesian Spectral Density Approach. Engineering Physics and Mechanics: Analysis, Prediction and Applications. Nova Science Publishers, New York, ISBN: 978-1-60876-227-9, pp. 509-533.
 
Conference Papers
  1. Kuok, S. C., Yuen, K. V. (2024). Metamodeling from Bayesian perspective. Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), Chicago, Illinois, May 28-31, 2024, EP240877.
  2. Li, L., Kuok, S. C., Yuen, K. V. (2024) Bayesian sparse grid (BSG) approach for information salvage in reliability assessment. The 4th International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2024) The 8th International Symposium on Uncertainty Modelling and Analysis (ISUMA 2024), April 25-28, 2024, Shanghai, China.
  3. Kuok, S. C., Yao, S., Yuen, K. V., Li. B. (2023). Gaussian process with optimal kernel selection for nonparametric modeling of ambient effects on structural health indicators. 12th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-12), October 19-22, 2023, Hangzhou, Zhejiang, China. Paper ID#20230831221447-256-22454.
  4. Wang, T., Noori, M., Kuok, S. C., Ghiasi, R., & Altabey, W. A. (2022, August). Seismic reliability analysis based on Bayesian neural network. In 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-11), Montreal, QC, Canada.
  5. Ye C., Kuok, S. C., Butler L., and Middleton C. (2021) Challenges of implementing bridge model updating in industry practice. International Association for Bridge and Structural Engineering (IABSE) Congress: Resilient Technologies for Sustainable Infrastructures. Christchurch, New Zealand
  6. Kuok, S. C., Yuen, K. V., Roberts S., and Girolami M. A. (2020) Nonparametric modeling for environmental interference discrimination via adaptive broad learning. Engineering Mechanics Institute (EMI) Conference and Probabilistic Mechanics & Reliability Conference. New York, USA.
 

Talks & Presentations

  • [2024.08] Invited Speaker presented in CSW-MCCE 2024.
  • [2020.06] Poster presented at the Virtual Poster Session of the annual CSIC Distinguished Lecture.
  • [2020.05] Zoom talk to the Cambridge Centre for Smart Infrastructure and Construction group at University of Cambridge.
  • [2020.01] Talk in the Department of Engineering at University of Cambridge.
  • [2019.12] Talk in the Engineering Department at University of Oxford.
  • [2019.11] Talk in the Department of Mechanical Engineering Seminar at University of Sheffield.
  • [2019.09] Talk in the Centre for Structural Engineering and Informatics Seminar at University of Nottingham.
  • [2019.08] Talk in the Faculty of Engineering Seminar at University of Bristol.
  • [2019.06] Talk in the Engineering Department Structures Research Seminars at University of Cambridge.
  • [2019.04] Talk in the Data-Centric Engineering: Instrumented Infrastructure Seminar at Imperial College London.
  • [2019.02] Talk in the Engineering Department at University of Oxford.

 

Group Members

PhD Students

  • Shuangao, YAO (On-going)
  • Qilun, WU (On-going)
  • Yuning, SI (On-going)
  • Long, LI (On-going)
  • Chunxiong, QIN (On-going)
  • Hepeng, LIU (On-going)
  • Yiyan, DAI (On-going)

 

Master students:

  • Jiaao, HU (On-going)
  • Weng Ian, HO (Graudated with Excellent)
  • Qinyao, ZHU (Graudated with Excellent)