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The aim of this program is to develop an 'all system analysis' program that provides post-graduate students with an authentic learning experience by adopting the cohort-based approach to solving real-world engineering problems, thereby enabling them to develop key transferrable skills necessary for future employment. The cohort is carefully designed to comprise 11 distinct but inter-related projects, covering virtually all use cases of data analytics, including to personalise user experience, inform business decision-making, streamline operations, mitigate risk and handle setbacks, enhance safety and security .

Further, the cohort project aims to link process control and machine performance with visualization and human-machine interaction and tackle the critical industrial objectives of developing hybrid man/machine systems where the machine response can be autonomous but benefit from human input.

Students in the cohort with strong math and data analytics backgrounds will be complemented by their peers with product design and manufacturing knowledge, and vice versa, which allow them to seamlessly transfer their abstract ideas from theoretical analyses to practical implementations. The common themes that the student cohort will be working on are related to the algorithm and prototype development, which will later be tested in individual industry partner’s environment.

Chief Investigators

Professor Ivan ColeProfessor Xiaodong LiAssociate Professor Kate FoxDr Ehsan AsadiProfessor Spiridon Ivanov PenevDr Hamid Khayyam



Industry partners

Downer EDI RailApplied Solar EnergyDelta-V ExpertsMemjet AustraliaMemko SystemsPI NetworkQuaefacta HealthInergyYellowFIN Robotics Solutions

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