This program will produce a cohort of graduates with much-needed skills in Artificial Intelligence to support critical infrastructure and community safety. This cohort will develop innovative AI solutions to industry-led problems ensuring the graduates are work-ready. The cohort-based approach will provide an intellectual climate around common themes that will support and stimulate the candidates to produce greater outcomes than a silo-based approach.
The industry projects have been carefully selected to be complementary but independent allowing each student to produce unique outcomes. Some of the common AI techniques across the selected projects are computer vision, agent-based modelling and simulation (ABMS) and digital twin technology. Computer vision is used in creating 3D reconstructions from 2D images of interior designs and to detect potential hazards and threats via surveillance videos. ABMS is becoming increasingly popular to model and simulate the management of disaster events such as floods and bushfires. Digital twins involves complementary approaches of digitising models of infrastructure, the people, and the business processes and one of the projects investigates the integration of all three aspects. The projects in this program will advance the state of the art for both private and government agencies.