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The Internet of Things (IoT) presents enormous opportunities to improve interaction with our immediate surroundings. Fully realising this potential requires sophisticated information analysis, with a focus on data mining and deep learning, human activity recognition, information filtering, and brain computer interfaces.

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Competitive advantage

  • Predictive human behaviour modelling—covert human activity recognition and indoor human movement tracking
  • Brain computer interface—deep learning for decoding brain activities and enabling device control via brain signals
  • Large-scale (1000+ sensors), long-term industry system deployment experience in a variety of environments such as buildings, rainforest, farms and lakes


  • Improved automation and better support in a complex environment
  • Breakthrough technology outcomes realised through sensor processing, including advances in biometric (face, gait) recognition and wearable systems

Successful applications

  • Deep learning for fault detection and localisation in distributed systems, CERA Project
  • Opinion fraud detection
  • Thing-of-interest recommendation in the Internet of Things
  • Human abnormal activity detection
  • Smart buildings and environments
  • User-friendly authentication for wearable devices, Australia Centre for Cybersecurity
  • Battery-free wearable systems
  • Capabilities and facilities
  • LPWAN test-bed in an industrial building
  • GPU-accelerated IoT data analytical platform