Conventional authentication mechanism relies on password or possession of token. However, password and token cannot genuinely identify a person as both password and token can be presented by someone else. Biometrics such as fingerprint, face, iris etc are quite uniquely representing individual. Therefore they are good tools for identity authentication. This project investigates latest biometrics authentication technology, i.e., 3D fingerprint identification.
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 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.
Acoustics is the study of the propagation of low-frequency mechanical waves in matter. These waves may be quantized, and the study of these waves at the level of their quantum zero-point fluctuations has been termed quantum acoustics. Quantum acoustics has the potential to impact the design of quantum computers.
This project aims at identifying current state of the art human systems integration techniques and creation of framework for an overarching or generalized human system integration framework that can be substantiated for different kinds of systems. Human systems integration practices are very domain specific for example healthcare, defence, aerospace etc.
This project is part of a much larger vision to measure complexity of projects from subjective views for task and resource allocation purposes. Several competency models have been proposed and used in defence.
Scholarships of $35K AUD for domestic and international students are available for Masters and PhD by research.
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.
A human-swarm interaction generates very large real-time data streams including image, voice, EEG, human physiological data, task and swarm data, and interaction data. In our paper below, we took steps towards fusing two sources of data, images and timeseries/signal sensorial data. This project will need to systematically develop deep learning and neural network models and architectures to design general deep networks for multi-modal data fusion.
This project involves the use of laser-based methods to investigate time-dependent population distributions in laser-induced plasmas. Such plasmas have applications in fuel ignition studies, sterilisation and chemical treatment, but their fundamental behaviour is still very poorly understood, even in simple gases such as Argon.