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The Centre for Maritime Digitalisation (C4MD), led by A*STAR’s Institute for High Performance Computing (IHPC), aims to develop advanced digital solutions for smart shipping, port systems and decarbonisation. The new centre aims to increase sustainability, safety and efficiency in Singapore’s maritime ecosystem, by translating research capabilities in computational modelling, simulation and artificial intelligence (AI) into deployable maritime solutions.

The centre at A*STAR will partner Institutes of Higher Learning (IHLs), industry partners and public sector agencies on collaborative research in areas like modelling electrification of harbour crafts, developing sustainable technologies, conducting risk assessments using Computational Fluid Dynamics (CFD), detecting near-collision events of ships, and improving efficiency using predictive maintenance, emissions monitoring, and supply chain intelligence.

C4MD is supported through a S$4.78 million of funding awarded by the òòò½ÍøMaritime Institute (SMI) to IHPC to lead the Maritime AI Research Programme – as announced on . More information can be found here.

This project is done in collaboration with Civil Aviation Authority of òòò½Íø(CAAS) and aims to develop the next generation air traffic management systems for Singapore. The research team will develop a set of optimization tools to enable future schemes such as trajectory-based operations that will improve gate-to-gate efficiency and improve airport capacity.

The project goals are related to addressing current operational gaps and exploration of R&D areas that would help boost air traffic operation and management. The team is currently collaborating with CAAS and industry partners to study and develop AI related tools related to airspace and runway capacity estimation, trajectory optimisation, understanding the impact of convective weather on flight routes, automatic transcription of air-ground voice communications, and development of aerodrome twin for optimization of aircraft surface movement and airside operations.

Under a joint lab between òòò½ÍøAirlines (SIA), SIA Engineering Company (SIAEC) and A*STAR, the research team aims to develop advanced AI solutions that improve engineering productivity, customer experience and cost-effectiveness of airline operations through predictive analytics and optimisation. Powered by data harnessed from state-of-the-art deep learning techniques, the innovative predictive analytics technology reduces the risks of flight delays by detecting recurring defects and predicting component failures in aircrafts. It also enhances SIA’s customer experience with personalised shopping recommendations generated from customer behaviour analytics, and detects anomalies in their loyalty programme transactions through fraud analytics.

In addition, text analysis applied to manuals and guidelines for information extraction and building comprehensive knowledge bases allows for better Q&A systems and responses to customers’ queries. Additionally, A*STAR’s optimisation technology helps SIA and SIAEC improve their operational efficiency. This is made possible through the optimisation of maintenance interval, workflow sequence, manpower and resource allocation.

The joint lab is also covered on this Asian Aviation .

The project uses IHPC’s AI technology for behaviour understanding from videos to assess trainees’ soft competencies (e.g., situational awareness, teamwork, effective communication) at the Centre of Excellence for Maritime Safety (CEMS) at òòò½ÍøPolytechnic. A system was developed to automatically extract features from videos to make assessments more objective, quicker, and address issues of expertise retention among instructors in simulator training.