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.

Quantum light source using coherent control

Quantum information technology exploits quantum phenomena to create new devices in computation, communication, and metrology. Quantum state of light (or a photon) is a promising information career because of the relative easiness of creations and manipulations of photons, and direct applications to communication.

Understanding the first year experience of engineering students

The aim of this project is to investigate the transition experience of students beginning an engineering degree. Of particular interest are the minority groups in engineering: women, mature age students, and at UNSW Canberra, civilian students in an otherwise military cohort.

Machine learning for quantum estimation and control

This project aims to develop effective estimation and control methods using machine learning for quantum systems. Benchmarking and controlling quantum systems have been an important task in next generation technology. However, efficient methods for the estimation and control of complex quantum systems are lacking.

Probabilistic Systems Engineering Model: Synthesis and Validation

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.

Acoustic Metamaterials and Metasurfaces

Acoustic metamaterials are artificially structured media which can manipulate sound waves in unusual ways. Metasurfaces are thin layers of metamaterials, which enable wave manipulation within a compact structure.

Gender and testing in STEM

Women are under-represented in Science Technology, Engineering and Mathematics (STEM) courses and professions. The reasons for this are many and complex, and despite many programs to increase participation of women in STEM the numbers remain low. Our research shows that the design of test questions influences how men and women answer the questions, and may lead to bias in test outcomes.

Machine Learning based Real-time Scheduling

Integrated project planning and scheduling is a hot research topic that has provided a blueprint of project’s success that is based on uninterrupted completion of a project. However, in real production, the project environment changes dynamically because of external and internal fluctuations which create interruptions to the process, due to machine breakdowns, sudden material shortage and so on. These disturbances will mean that the optimal process plan and schedule may become less efficient or even infeasible.

IoT-enabled project scheduling

Multi-project scheduling is a complex coordination of different resources (i.e. workforce, machines, materials, budgets) in real time and most of the studies are based on limited assumptions—such as each project in a multi-project scheduling is treated as a single project scheduling problem, or simplistically that resources can be transferred between projects without expense and time, or that projects can run without any uncertainties (i.e. under ideal settings).

Satellites provide data and services that are essential to modern society. Our civilian, commercial, and defence capability rely on continued and assured access to space-based infrastructure. The space environment, however, is harsh and represents a significant threat to the operation of such satellites. Collision with space debris, damage to spacecraft components through electrostatic discharge, and communication disruption from atmospheric anomalies are daily threats facing satellite systems and their operators.

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