This project’s aim is to facilitate optimal decision making for multi stakeholder system design. This study will investigation available preference modelling methods and asses their utility for integration with Tradespace exploration techniques.
PhD Projects SEIT
Scholarships of $35,000 (AUD) are available for PhD students who have achieved Honours 1/High Distinction in their UG program and/or have completed a Masters by Research.
The aim of this project is to characterise failure propagation in various kinds of systems such as enterprises (human systems), software and hardware systems, mechanical systems and heterogeneous systems such as system of systems. The models are then used to characterise the fragility and robustness of these systems.
Axial flow hydrocyclones have both exits in the same direction unlike the reverse flow hydrocyclones that are commonly used in industry. Early work has shown that axial flow hydrocyclones can reduce pressure drop and the challenge is to optimise the design of the vortex finder and the outlets to improve the separation efficiency so that the axial flow hydrocyclones can be used to separate a wide range of materials including coal, minerals, and waste effluent.
The Southern Hemisphere radar stations in Australia (Tidbinbilla, Parkes and Narrabri) provide a good platform to detect asteroids and study their trajectories and properties. Based on real measurements obtained through these stations, the project aims at providing signal processing tools to analyse planetary radar signals of near-earth objects, i.e., asteroids.
Quantum mechanics was developed as a theory of atomic behaviour. It was soon applied to light, assemblies of atoms, and subatomic particles. More recently, electrical circuits and mechanical systems operating in the quantum regime have been realized. This raises the question as to what, if any, are the ultimate limits to the application of quantum mechanics to physical systems.
The role of robotic systems including miniature unmanned autonomous vehicles is expected to grow significantly in the near future. With rapid advancement in sensor and robotic technologies, unmanned aerial vehicles are envisaged to be assigned various tasks including disaster monitoring, product delivery and, surveillance and reconnaissance.
In the presence of increasingly dynamic environments, frequent uncertainties, high customer specifications, strict project deadlines, and stricter requirements on sustainability and scarcity of resources, modern project managers are challenged in their ability to schedule and control projects. Thus, in the context of sustainable project scheduling context, two important elements are to be considered as decision variables: the input elements of a scheduling (e.g.
Scholarships of $35K AUD for domestic and international students are available for Masters and PhD by research.
The aim of this project is to synthesize building blocks of a Probabilistic Systems Engineering Model and its validation. The model would be based on probabilistic success in execution of systems engineering task and resulting rework.