Turing AI Fellowship: Machine Learning Foundations of Digital Twins
Lead Research Organisation:
University of Warwick
Department Name: Computer Science
Abstract
The proposed programme of research will establish the machine learning foundations and artificial intelligence methodologies for Digital Twins. Digital Twins are digital representations of real-world physical phenomena and assets, that are coupled with the corresponding physical twin through instrumentation and live data and information flows. This research programme will establish next-generation Digital Twins that will enable decision makers to perform accurate but simulated "what-if" scenarios in order to better understand the real world phenomena and improve overall decision making and outcomes.
People |
ORCID iD |
Theodoros Damoulas (Principal Investigator / Fellow) |
Publications

Aglietti V.
(2021)
Dynamic Causal Bayesian Optimization

Aglietti V.
(2021)
Dynamic Causal Bayesian Optimization
in Advances in Neural Information Processing Systems

Akyildiz O.
(2021)
Probabilistic Sequential Matrix Factorization



F. M. Zennaro
(2022)
Towards computing an optimal abstraction for structural causal models


Felekis G.
(2022)
,Probabilistic Deep Learning with Generalised Variational Inference

Hamelijnck O
(2021)
Spatio-Temporal Variational Gaussian Processes

Hamelijnck O.
(2021)
Spatio-Temporal Variational Gaussian Processes
Description | RAE Roundtable on Engineering Solutions to Reduce Air Pollution |
Geographic Reach | National |
Policy Influence Type | Participation in a guidance/advisory committee |
URL | https://nepc.raeng.org.uk/media/h0hpcdan/nepc-air-pollution-report.pdf |
Description | Lloyd's Register Foundation impact funding |
Amount | £118,000 (GBP) |
Organisation | Alan Turing Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 05/2024 |
End | 06/2026 |
Description | BAS |
Organisation | British Antarctic Survey |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We have submitted a proposal to the ASG programme at The Turing that will fund joint research in the next period. It has not been formally awarded yet so I do not provide any further details at this point. |
Collaborator Contribution | See above |
Impact | See above. Not yet. |
Start Year | 2021 |
Description | NERC Constructing Digital Environment network |
Organisation | Natural Environment Research Council |
Country | United Kingdom |
Sector | Public |
PI Contribution | I joined the NERC Constructing Digital Environment network as a Senior Expert and have contributed as a) panel member and senior expert, interviewing and selecting proposals to be funded under the NERC Digital Researchers panel, b) member of the network in helping with activities and strategy with an interest/focus on environmental digital twinning activities |
Collaborator Contribution | NA |
Impact | NA |
Start Year | 2021 |