This research introduces an ultra-wideband tracking system to detect heat stress in dairy cows through behavior monitoring. By analyzing movement patterns with 98% accuracy, it enables early intervention and targeted cooling. The solution improves animal welfare, boosts milk production, and helps farmers manage labor and efficiency challenges in modern dairy farming.

This research evaluates electronic case reporting (ECR), an automated disease surveillance system that alerts public health agencies as soon as diagnoses are recorded. By analyzing surveillance data and clinician experiences, the work aims to improve outbreak detection speed, accuracy, and usability—helping public health respond earlier and save lives.

The speaker develops a decentralised communication framework for collaborative robots (cobots). By removing the central server and enabling robots to communicate directly through estimating unknown variables, the system reduces cost, time, and memory use. This foundation supports efficient task allocation for applications like delivery and firefighting.

Labour shortages leave millions of dollars of crops unharvested. This research develops touch-sensitive robots that navigate complex plants using force sensors rather than vision, reducing damage and improving fruit-reaching success by 66%. By learning from human movements, these robots could support sustainable agriculture and address critical workforce gaps.