Trusted Automation for Industrial Internet of Things
This program will train the next generation graduates in trusted automation for industrial Internet of Things through a close partnership between industry and academia.
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The National AI Centre (NAIC) is transitioning from CSIRO to the Department of Industry, Science, and Resources (DISR) on 1st July 2024. You can find the latest NAIC content at industry.gov.au. For any NAIC-related questions, please email NAIC@industry.gov.au.
Automation of industrial processes by adopting emerging technologies such as IoT, machine learning, artificial intelligence, cloud computing, and blockchain is increasing under the Industry-4.0 transformation. Together, these technologies hold the potential to significantly increase Australian companies' productivity and competitiveness. Several industries in the manufacturing, supply chain, information systems, agriculture, and retail sectors already look to transform their industry by recruiting skilled professionals. However, the skill shortage in these domains impedes the transformation process, impacting innovation, transformation, and growth.
The Australian Government’s AI and Blockchain Roadmaps has identified a significant economic opportunity for these technologies into various industry sectors, including agriculture, manufacturing, and supply chains yet the persistent skills shortage in these areas is a barrier to realising the economic benefits.
This program will train the next generation graduates in trusted automation for industrial Internet of Things through a close partnership between industry and academia. Being at the intersection of three emerging technologies with the potential to transform how we live and work, this program offers students unique opportunities to gain skills that are highly relevant for industry.
Students will work on applied research projects, where the research problem is inspired by real world problems that industry partners are facing. Student projects will address computer science research challenges on one or more of the technologies of blockchain, machine learning, and Internet-of-Things. Students will use simulators and physical network testbeds at QUT or UNSW to validate their research ideas. For examples of active projects related to this program, interested applicants can visit: Trusted Networks Lab Projects
Dr Sara Khalifa, Dr Dimity Miller, Dr Volkan Dedeoglu, Dr Rahat Masood, Dr Arash Shaghaghi, Professor Mahbub Hassan, Dr Sharif Abuaddba, Dr Dilum Bandara, Vinesh George, Paul Ramirez, Nathan Eggins, Hamish Sadler, Brendan Lee
Queensland University of Technology (QUT) is a major Australian university with a truly global outlook. Home to nearly 50,000 students, QUT is providing real-world infrastructure, learning and teaching, and graduate skills to the next generation of change-makers.
UNSW Sydney is a world-leading teaching and research powerhouse recognised by employers and organisations around the globe. Founded in1949, UNSW is dedicated to shaping forward-thinking graduates who make a positive impact in the world.
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