Q. Shen (Qinshuo)

I am a civil engineer who is enthusiastic about research in machine learning, data science, meta-modelling, design optimization, generative design, and road construction process improvement.

You can learn more about me at my portfolio website: https://sheni.nl

Engineering & Materials Science

# Bending Moments
# Data Structures
# Random Forests
# Wind Turbines

Faculty of Engineering Technology (ET), Market Dynamics (MD)

Shen, Q. , Vahdatikhaki, F. , Miller, S. R. , & Dorée, A. G. (2023). Coupling asphalt construction process quality into product quality using data-driven methods. In B. Garcia de Soto, V. Gonzalez, & I. Brilakis (Eds.), Proceedings of the 40th International Symposium on Automation and Robotics in Construction, ISARC 2023 (pp. 349-356). (Proceedings of the International Symposium on Automation and Robotics in Construction). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2023/0048

Shen, Q. (2023). Coupling the Road Construction Process Quality Indicators into Product Quality Indicators. [EngD Thesis, University of Twente]. University of Twente.

Vahdatikhaki, F., Barus, M. V. , Shen, Q. , Voordijk, H., & Hammad, A. (2023). Surrogate modelling of solar radiation potential for the design of PV module layout on entire façade of tall buildings. Energy and buildings, 286, Article 112958. https://doi.org/10.1016/j.enbuild.2023.112958

Shen, Q. , Miller, S. R. , & Vahdatikhaki, F. (2022). Machine learning in the road construction sector: A review. 1-15. Paper presented at CROW Infradagen 2022, Rotterdam, Netherlands.

Shen, Q. , Vahdatikhaki, F. , Voordijk, H., van der Gucht, J., & van der Meer, L. (2022). Metamodel-based generative design of wind turbine foundations. Automation in construction, 138, Article 104233. https://doi.org/10.1016/j.autcon.2022.104233

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+31534893825

q.shen@utwente.nl