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The introduction of digital technologies, such as Artificial Intelligence (AI), Internet of Things (IoT) and Digital twins (DT), has transformed the nature of work and reshaped the Australian and global economies over time.

Our primary objective is to research and develop novel DT solutions empowered by Artificial Intelligence of Things (AIoT), a combination of AI and IoT, to meet the needs of our industry partners, such as improved productivity, and reduced maintenance and management costs. By representing physical objects digitally, DT can harness real-time IoT data and optimise performance using AI and data analytics. Several research and industry challenges will be addressed, including accurate 3D modeling, DT model optimisation, reliable connectivity between the physical world and digital world, and edge AI models.

By collaborating with academia and industry, the program will train the next generation of graduates in the fields of AI, IoT, and DT. Mentoring will be provided to the cohort by 20 industry and academic researchers from 10 committed organisations with expertise in machine learning, computer vision, networking, edge computing, and manufacturing, construction and mining. Students from diverse backgrounds will be able to collaborate across disciplines through our research team's outstanding facilities and expertise in diverse team environments.

Chief Investigators

Professor Wei XiangProfessor Wenny RahayuProfessor Phoebe ChenAssociate Professor Andy SongProfessor Jiong Jin


La Trobe, RMIT, Swinburne

Industry partners

Schenck ProcessBortana, Janco Enterprises, YepHome

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