Modelling, Data, and UQ for Engineering Digital Twins
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Modelling, Data, and UQ for Engineering Digital Twins

Bringing industry and academia together to discuss Modelling, Data, and UQ for Engineering Digital Twins

By School of Mathematics and Statistics, University of Glasgow

Date and time

Wed, 4 Jun 2025 09:00 - 17:00 GMT+1

Location

School of Mathematics and Statistics

132 University Place Glasgow G12 8TA United Kingdom

About this event

  • Event lasts 8 hours

Modelling, Data, and UQ for Engineering Digital Twins is a one-day workshop bringing together researchers, industry professionals, and practitioners to explore the role of uncertainty in the development and application of digital twins in engineering. The programme features invited talks from leading academics and industry experts, lightning presentations showcasing emerging ideas and applications, and interactive panel discussions aimed at fostering cross-sector dialogue. The event offers a platform to share challenges, solutions, and opportunities in integrating uncertainty quantification into digital twin technologies, with the goal of driving more robust, reliable, and interpretable engineering systems.

Programme

Coming soon...

Speakers

  • Brian Sheil, Cambridge Centre for Smart Infastructure and Construction
  • Ramaseshan Kannan, ARUP
  • Ramin Rahnama, Wood PLC
  • Manlio Tassieri, University of Glasgow
  • Roisin Buckley, University of Glasgow
  • David Dalton, University of Glasgow

Organisers

Frequently asked questions

Is there any opportunity to present my own work?

Yes, there will be the opportunity to do give a lightning talk. Just indicate this when you register and provide us with a provisional title. You can go back and edit this if you wish.

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