Research Theme: Informed Decisions

The purpose of data collection and modelling is to learn more about the system and make the best possible decisions about it. Under this theme we develop new decision-making methodologies, and exploit Challenging Data, Multiscale Models, and Enabling Algorithms to make decisions.

Research Theme: Informed Decisions Projects

Modelling and Calibration of Data Intensive Systems

The broad aim to develop mathematical models for population dynamics that account for local population behaviour, individual variation, spatial structure, and differing migration patterns, and to calibrate these models to real data.

Optimal decision making under uncertainty

This project aims to develop new mathematical frameworks and algorithms to guide decision making under uncertainty, with applications to robotics.

Optimisation and control of a power system with a high penetration of renewable energy sources and storage

This research project is modelling a future electricity grid, regional or microgrid, with a high penetration of power electronic connected (PEC) devices, distributed and utility scale.

Optimising Patient Flow and Throughput in a Surgical Suite.

Demand for healthcare services is growing rapidly in Australia, and rising healthcare expenditure is increasing pressure on the sustainability of the government-funded healthcare system. To keep up with the rising demand, we need to be more efficient in delivering healthcare services. To make a system efficient, we need to identify the source of inefficiency and eliminate it.

Resource allocation in loss networks with interchangeable resources

Building on previous expertise of the investigators on loss networks and multi-armed bandits respectively, we investigate how to allocate resources to requests so that the weighted proportion of denied requests is minimized.

The role of education in attitudes towards temporary and perennial rivers

ACEMS researcher Dr Catherine Leigh and colleagues have found that learning about the environment positively influences attitudes towards the environment, and in important ways. Their findings were published in People and Nature.

Welcome to the ACEMS Reportal

All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).