Invited talk, ANZAAS Science Talk, Melbourne, Australia
Invited speaker at the ANZAAS Science Talk series. The talk summarised my PhD research at RMIT University on deep learning methods for visual anomaly detection and defect recognition, including work on multi-head attention networks for video anomaly detection and Random Finite Set frameworks for point-pattern learning.
Research forum presentation, RMIT IoT Research Forum, Melbourne, Australia
Presenter at the RMIT IoT Research Forum. The talk covered embedded AI systems for construction site safety, based on my work as AI and Embedded Systems Engineer at Cornerstone Solutions Pty Ltd. It described how low-power devices can run anomaly detection models close to the sensor to flag unsafe events in real time.
Conference presentation, IEEE Congress on Evolutionary Computation (CEC 2018), Rio de Janeiro, Brazil
Conference presentation at the IEEE Congress on Evolutionary Computation (CEC 2018). The work introduced a particle swarm optimisation approach for multi-objective engineering design and studied its convergence on standard benchmark problems. Related paper: Applied Soft Computing (2019).