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Ulster University presents AI and Digital Twins For Built Environment

    

John Holden
Community Calendar

Event details

 

Registration

Registration for the workshop is MANDITORY but is FREE and you can reserve your place by completing the short form at this link. Please note the deadline for registration is Noon on Friday 3rd February 2023.

About

A Digital Twin, within the context of the construction industry, is a digital representation of a physical building. Inside the digital twin various interconnections of building components and their interactions can be represented and intelligence can be seamlessly integrated. The purpose of the twin is to turn data from interconnected and interacted components into new insights, simulate interdependencies between building components, services and the natural environment, and thereby to have a deep understanding of building construction.

Digital twins have a growing interest in both the scientific and industrial communities, where they are attracting huge amounts of investments from digital transformation programmes both nationally and internationally. The first workshop on Digital Twins for Built Environment is organised by the Artificial Intelligence Research Center (AIRC) from the School of Computing at Ulster University in collaboration with the School of Architecture and the Built Environment at Ulster University and Property Doc Ltd, Ireland. The workshop aims to bring people together to raise the awareness of digital transformation and twins and to share the experiences in the relevant areas, as well as to promote research and applications of digital twins within the scientific and industrial communities.

Workshop Agenda

12:30-13:00 Networking (with refreshment)
13:00-13:10 Opening remarks and welcome
13:10-14:10 Keynote Session 1: Data driven and people centred buildings: Using IoT and digital twins to boost building performance and user experience
Dr. Shrikant B. Sharma, SmartViz
14:10-14:30 Session 1: Digital Construction and Building Performance
Professor Ibrahim Motawa, School of the Built Environment, Ulster University
14:30-14:50 Session 2: Matterport Digital Twin Technology
Mairead Daly, Daly Productions, Ireland
14:50-15:10 Break
15:10-15:30 Session 3: Digital Twin with Machine Learning for predictive monitoring of CO2-eq emission: Towards the UK net zero strategy
Faris Elghaish, School of Natural and Built Environment, Queen's University of Belfast
15:30-15:50 Session 4: Digital Twins for Building Energy Ratings: Case Studies
Conor Sheerin, Pierce O'Reilly and Yaxin Bi, Property Doc Ltd, Ireland & School of Computing, Ulster University, UK
15:50-16:10 Session 5: From Pac man to Performance Management - how games are getting serious
Ryan Johnston, School of the Built Environment, Ulster University
16:10-16:20 Closing remarks
16:20 Close of event

Workshop chairs

  • Dr Yaxin Bi, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Professor Ibrahim Motawa, School of the Built Environment, Ulster University
  • Mr Pierce O'Reilly, Property Doc Ltd.
  • Professor Jonathan Wallace, Artificial Intelligence Research Centre, School of Computing, Ulster University

Workshop Organisation Committee

  • Dr Adrian Moore, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Mr Conor Sheerin, Property Doc Ltd. Ireland
  • Mr Christopher O'Neill, PhD, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Mr Xin Cai, PhD, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Dr Peter Nicholl, Pervasive Computing Research Centre, School of Computing, Ulster University
  • Dr Jun Liu, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Professor Maurice Mulvenna, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Dr Naveed Khan, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Dr Zeeshan Tariq, Artificial Intelligence Research Centre, School of Computing, Ulster University
  • Dr Wei Zhai, Gansu Earthquake Agency, China
  • Dr Michael Milliken, Artificial Intelligence Research Centre, School of Computing, Ulster University

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