October 22, 2020

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National University Singapore & ST Engineering Collaborate on $9m research programme for smart city solutions

NUS and ST Engineering are collaborating on a S$9 million, multi-year advanced digital technologies research programme to further their common goals of building a people-centric, smart future for Singapore and beyond.

Research efforts of this new programme will focus on technologies related to Smart Cities covering five areas: resource optimisation and scheduling; prescriptive analytics; decision and sense-making; reasoning engine and machine learning; as well as digital twin.

The research areas are aligned with NUS’ efforts as a driving force behind smart city innovations, leveraging its deep expertise that crosses over multiple domains and faculties.

Professor Chen Tsuhan, NUS Deputy President, Research & Technology, said, “This new collaboration will combine NUS’ expertise in the science of cities with ST Engineering’s industry knowledge to co-create people-centric Smart City solutions that will form the foundational systems to bring about not just impactful, but radical, change to the lives of people in Singapore and the world.”

The two key research projects are:

Enterprise Digital Platform (EDP)
As the backbone of smart city solutions, the EDP is a flexible, modular and scalable artificial intelligence (AI) platform that will support all the AI methodological areas, enabling the synthesis of disparate data sources and other internal or external systems, to orchestrate cross-vertical data and insights from customers and partners.

All AI models derived from research projects under this programme will be integrated onto a common AI engine stacked within the EDP, paving the way for future-ready platforms that catalyse technology transformation and create new information-based revenue streams.

Urban Traffic Flow Management
In this project, researchers develop algorithms tot alleviate traffic congestion by using a holistic urban traffic flow smoothening approach based on traffic data analytics and AI technologies.

Examples include traffic state estimation and prediction, in addition to effective active traffic control and management strategies identification and implementation.

This will have future applications as autonomous vehicle technologies, 5G infrastructure and machine-to-machine (M2M) technologies start to mature and proliferate.

These research areas support ST Engineering’s focus on developing differentiated and people-centric, smart city solutions that meet the present and future needs of cities around the world.

“This collaboration with NUS will allow us to delve deeper into the application of AI in new domains to catalyse the pipeline of next-generation technologies and solutions that address the evolving urban challenges that cities will continue to face,” said Mr Harris Chan, Chief Digital Officer and Chief Technology Officer at ST Engineering.