Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Smart DCU digital twin: towards smarter universities

Fernandez, Jaime B. orcid logoORCID: 0000-0001-9774-3879, Dhingra, Mani orcid logoORCID: 0000-0003-0116-9046, Mandal, Sukanya, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135, Kerr, Aphra orcid logoORCID: 0000-0001-5445-7805, McGuinness, Kevin orcid logoORCID: 0000-0003-1336-6477, Ali, Muhammad Intizar orcid logoORCID: 0000-0002-0674-2131, Cudden, Jamie and Mahon, Kieran (2023) Smart DCU digital twin: towards smarter universities. In: 2023 IEEE International Conference on Digital Twin (Digital Twin 2023), 28-31 Aug 2023, Portsmouth, GB. (In Press)

Abstract
Although both smart city and digital twin are ambiguous and contested terms, there exists a co-creative link between the two. Theoretically, digital twin seems to be a sustainable digital solution for smart cities to achieve ideal city vision by digitization of physical urban spaces. This study investigates and informs the role, benefits and challenges in developing and deploying digital twin solution for efficient decision-making in infrastructure planning and management. This technology is experimented in a 3D cyberspace of Dublin City University, which is also one of the testbeds under the broader Smart Dublin umbrella. It is an ongoing project and expects to develop effective use-cases for monitoring present situations, multi-stakeholder collaboration and action research towards a responsive and adaptive campus environment.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Urban digital twin; Smart campus; IoT devices; Digital models; Immersive technology
Subjects:Computer Science > Artificial intelligence
Computer Science > Visualization
Engineering > Virtual reality
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Research Initiatives and Centres > ADAPT
Publisher:IEEE
Funders:Science Foundation Ireland [12/RC/2289P2 ] Insight Dublin City University, Science Foundation Ireland [13/RC/2106P2] Maynooth University, Science Foundation Ireland [18/CRT/6183] SFI ML-Labs, Bentley Systems, DublinCityCouncil
ID Code:29100
Deposited On:02 Oct 2023 10:20 by Jaime Boanerjes Fernandez Roblero . Last Modified 20 Oct 2023 15:19
Documents

Full text available as:

[thumbnail of Smart DCU Digital Twin Towards Smarter Universities.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
12MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record