R&D programmes at ATMRI

The objective of this programme is to design and develop a hybrid AI-Human Air Traffic Control (ATC) paradigm that can contribute to the next generation of air traffic management (ATM) systems.

 This will be achieved through a suite of artificial intelligence (AI) algorithms and man-machine learning models that can augment human tasks in ATC such that air traffic control officers (ATCOs) could perform higher order cognitive tasks such as tactical air traffic flow management.

 This programme also aims to establish a deep learning platform and an intelligent flight data repository that can enable experimentation and development of Human-AI chat-bot system for ATM.

The rapid, accelerating proliferation of Unmanned Aircraft Systems (UAS) and Urban Aerial Mobility (UAM) for commercial, public service, and leisure applications will continue in the coming years.

However, since the available airspace is finite, there is a need to ensure that this limited resource is used efficiently and safely while reaping the maximum benefits as technology advances and applications diversify.

 Traffic management of UAS/UAM is a critical enabler for UAS/UAM operations. Successful development and deployment of UAS/UAM traffic management will allow us to capture the greatest possible value and benefits from UAS/UAM applications as the industry innovates.

Currently, there is a need to envisage the future operating environment of the airspace for diverse UAS/UAM applications, create and articulate the operating concepts, and facilitate the maturing of the technologies to create a positive ecosystem for UAS operations in Singapore. 

The rapid growth in air traffic demands ATM modernisation that will enhance capacity, efficiency and predictability whilst ensuring safe operations.

The programme’s key goal is to develop operating concepts for the envisioned Seamless Sky as agreed in the ASEAN ATM Master Plan.

The programme will also serve short and medium-term modernisation and harmonisation initiatives, making ATMRI the Regional Hub for ATM studies.

With rapid advancement in technologies, opportunities to extend new frontiers and develop new innovations and future systems for air traffic management (ATM) operations abound.

Such work could involve establishing new methodologies in overcoming current limitations or formulation of new concepts or paradigms to better handle and manage highly complex air traffic scenarios.

Exploratory studies into these emergent technologies, applied to ATM operations can be highly beneficial and can strongly position ATMRI as a leader in innovations in ATM.

Some key areas of research undertaken are as follows: ATM Science, ATM Applied Research, Next-Generation Technologies, Human-Machine ATM Interactive Studies and Human-AI ATM Studies.

PhD Scholarships

The programme aims to become a cornerstone of world class PhD academic research, curricula and market oriented innovations that will significantly contribute to the landscape of ATM and air transportation in Singapore. On the platform, this forms the core infrastructure of ATMRI to nurture talents as well as to catalyse innovative ideas for future Singapore, ASEAN and beyond. This is a full-time doctoral programme and comprises two PhD scholarship tracks for potential PhD students who are interested to embark on research studies in ATM.

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