WP8: Complex Systems and Physics for Hybrid AI
Lead PI SG:
Lead PI FR:
Claude GUET (NTU)
Team PI Singapore
Dusit NIYATO (NTU)
Massimo PICA CIAMARIA (NTU)
Chip HONG (NTU)
Claude GUET (NTU)
Andrew PRAHL (NTU)
Team PI France
Nouredine HADJSAID (Grenoble INP)
Vincent DEBUSCHERRE (Grenoble INP)
Rémy RIGO-MARIANI (CNRS)
Sylvain SAÏGHI (Université de Bordeaux)
Francisco CHINESTA (ENSAM)
Amine AMMAR (ENSAM)
Olga MULA (Université Paris Dauphine)
Frederic WURTZ (Grenoble INP)
The consortium for WP8 is multidisciplinary with expertise in physics, hybrid twins, complex systems, operational optimization and h/w designs. The French team members primarily bring expertise in hybrid twinning and design and operations for complex system-of-systems, whereas the Singapore team members primarily bring expertise in optimization, physics and complex system modelling. This, together with the fact that h/w design expertise will be provided by both France and Singapore, ensures good complementarity between the two teams.
Synergies between Singapore and France:
There exist ongoing collaborations between the French and Singaporean teams (e.g., on neuromorphic AI, and on Distributed Energy Resource Management System – DERMS – project), which will form a strong basis for synergy in DesCartes. The French team brings significant domain expertise in the areas of Hybrid Twins and real time physics. This is well complemented by the Singaporean team, which brings technological expertise in physics. modelling and real-time operational optimisation
This WP is focused on research related to the design and engineering of hybrid twin based simulation and control architectures for urban critical systems.
In particular, it will focus on decision making activities such as predictive diagnostics and robust optimal control, that impose constraints and guide our hypotheses to define best suited solutions. Smart data based hybrid twining brought by this WP will be at the heart of innovations brought to complex system-of-systems. The complexity lies in the various physical scales, the nonlinear behaviour, the various levels of interaction between system components and the uncertain environment making efficient forecasting a real challenge. Tools developed in this WP are
generic and can be applied on many real-life critical systems.
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.
CREATE is an international collaboratory housing research centres set up by top universities. At CREATE, researchers from diverse disciplines and backgrounds work closely together to perform cutting-edge research in strategic areas of interest, for translation into practical applications leading to positive economic and societal outcomes for Singapore. The interdisciplinary research centres at CREATE focus on four areas of interdisciplinary thematic areas of research, namely human systems, energy systems, environmental systems and urban systems. More information on the CREATE programme can be obtained from www.create.edu.sg.
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