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Hi there 👋

I am a Lecturer at the School of Physics, Engineering and Technology, University of York, UK. I have a PhD in Sound and Vibration. In addition to the 6 years working in industry for Hitachi on railway noise and vibration control, I have also conducted fundamental research into the design of digital twins at the Engineering Department, University of Cambridge. My research interest is in understanding the interaction among model, data and uncertainty, in order to develop digital design methodologies to support decision-making.

🧮 Recent Completed Project

EPSRC funded DigiTwin: Digital twins for improved dynamic design

📓 Latest Research Papers

  • Yang, Jiannan. Decision-Oriented Two-Parameter Fisher Information Sensitivity Using Symplectic Decomposition, Technometrics (2023)
  • Yang, Jiannan. A general framework for probabilistic sensitivity analysis with respect to distribution parameters. Probabilistic Engineering Mechanics 72, 103433 (2023).
    • available as open access
    • the data and code for this paper can be found here
  • Yang, Jiannan., et al. Digital twins for design in the presence of uncertainties. Mechanical Systems and Signal Processing 179, 109338 (2022).
    • available as open access
    • the data and code for this paper can be found here
  • Yang, Jiannan., et al. Combined sensitivity analysis for multiple failure modes. Computer Methods in Applied Mechanics and Engineering 395, 115030 (2022).
    • available as open access
    • the data and code for this paper can be found here

🎙️ Recent Invited Talks

🔬 Academic Service

📈 My GitHub Stats

Jiannan's GitHub Stats

Jiannan Yang's Projects

hydro-suite icon hydro-suite

A suite of codes for dynamic analysis of offshore slender structures

sa4designcasestudy icon sa4designcasestudy

Case study for sensitivity analysis using a model wind turbine floating platform

symplecticfishersensitivity icon symplecticfishersensitivity

a symplectic variant of the eigenvalue decomposition for the Fisher information matrix and extract the sensitivity information with respect to two-parameter conjugate pairs

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