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In today's rapidly evolving global landscape, enhancing productivity is not just a strategic advantage, but a necessity for economies to thrive. To achieve this, the Fourth Industrial Revolution (Industry 4.0) is fundamentally shifting industrial practices through ongoing automation by integrating new technologies, including artificial intelligence (AI) and machine learning, Internet of Things (IoT), computer vision, and smart sensing, into their production facilities and throughout their operations.

This project aims to develop a suite of AI-informed frameworks for insight generation and adaptation of smart sensing and communications via IoT to enhance productivity through continuous adaptive-learning. Continuous learning ensures that the trained models become more refined, accurate, and efficient as they encounter new data, scenarios, and challenges, and offer better adaptation to the context. IoT has become ubiquitous across a range of application domains e.g., agriculture, environment, manufacturing, and sports science, each with its own challenges in integrating AI with IoT for informed decision-making.

Drawing partners from various industries and universities, this cohort-based initiative aims to harness the collective expertise of academia and industry to deliver a world-class research training environment with industry placements for 11 research students to collaborate on enhancing productivity of our industry partners by integrating AI and IoT.

Chief Investigators

Dhananjay ThiruvadyGelareh MohammadiManzur MurshedArcot SowmyaMostafa Rahimi AzghadiFrank Jiang


UNSW, Deakin, James Cook

Industry partners

Stronger Brains LimitedIntersect AustraliaCerenautGreen IOT, Agriculture Victoria Research, Kurloo, AutoWeed

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