Student topics

The theory of “enclothed cognition” suggests the systematic influence that clothes have on the wearer's psychological processes.Researchers have found the diverse impact that clothes can have on the wearer. It is proposed that enclothed cognition involves the co-occurrence of two independent factors—the symbolic meaning of the clothes and the physical experience of wearing them. For example, research has found physically wearing a lab coat increased selective attention compared to not wearing a lab coat, and wearing a lab coat described …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations

Most theories of motivation and behaviour consider pain and effort to be deterrents. In contrast to this widely held belief, researchers have identified that the prospect of enduring pain and exerting effort for a cause can promote contributions to the cause. Specifically, research has shown that willingness to contribute to a charitable or collective cause increases when the contribution process is expected to be painful and effortful rather than easy and enjoyable.This project extends this theory to a shopping context. …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations

This research aims to provide insights into how organisational gender and age diversity can be managed for positive employee and organisational outcomes. A lack of knowledge is creating issues including slow progress in being an inclusive society, diversity initiatives for short-term gains, and a lack of well-being of individuals. The expected outcomes include insights into what drives diversity practices, how diversity practices lead to positive outcomes, and organisational strategies to strengthen positive outcomes.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Management

Technological advancements such as information and communication technologies, artificial intelligence, internet-of-things, robotics, and the increasing popularity of the smart city and smart living movements during the last couple of decades have created and intensified a boom of the smart home industry. At present, digital technology applications uptake in homes has become common and increasingly changed people’s lifestyles. Smart home technology provides a suite of independently and remotely controlled software and hardware connected to a network to deliver smart living. Smart …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Calculating the duration of time required for a diffusive process to end is a classical problem in mathematics, engineering, biology and economics. The concept of mean exit time is widely used to study transport phenomena in biology, such as calculating the duration of time required for a protein created in a cell nucleus to reach the cell membrane. While many exact calculations of mean exit time are known for simple geometries and homogeneous media, exact solutions are rare for complicated …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

A fundamental challenge to materials design for mechanical capability is to attain both strength and toughness at the same time in one body. Conventional metallic materials generally have relatively large plasticity due to having massive population of microstructural defects and effective plastic deformation mechanism, which have long been exploited for fabricating flaw tolerant (toughness) materials for structural applications. By the same token theseStructural defects render the materials relatively low strength, thus low load-bearing capability. In contrast, ceramics and intermetallic compounds …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Materials Science

Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

The emergence of the two-way communication model and Distributed Energy Sources (DES) is transforming traditional power systems from largely centralised energy production to more decentralised and connected management systems. This is called the 'smart grid'.As the smart grid evolves, electric vehicles (EVs) are emerging as unconventional and highly-disruptive participants in the grid that can add significant benefit and flexibility. Notably, EVs are equipped with a relatively high capacity battery that stores energy to power the vehicle.EV batteries, coupled with the …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Australia is rich in lithium battery materials and is poised to be the world leader in sustainable energy storage. The rapid growth in the automobile and energy sector created greater demand for high-performance Li-ion batteries with high energy density. Conventional Li-ion batteries utilise a graphite anode with a limited theoretical capacity. Therefore, we need to develop alternative electrode materials with high energy density and a longer lifespan.Silicon (Si) has received attention owing to its high specific capacity at ambient temperature. …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Materials Science

This project aims to forecast the risk of infectious disease spread, such as COVID-19 and dengue, based on human movement patterns. We'll use multiple data sources that describe people movement in order to understand individual and population level mobility patterns, and use empirical disease case data to model the effect of movement on the spread of disease.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Blockchain is an unchangeable, distributed database that provides trust in data once it is stored on the database. However, in Internet-of-Things (IoT), the data is an observation of physical context and is susceptible to noise, drift, or malicious alterations. Sensors may even be decoupled from their intended context by an attacker, which may compromise the blockchain data and its value for guiding decisions.This project aims to develop an innovative approach for pervasive trust in IoT, underpinned by blockchain. The research …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Digital transformation and digitalisation are on top of the CIOs' agenda. However, organisations embarking into these initiatives struggle to understand the nature of leadership capabilities required for effective DT. Furthermore, the complexities associated with pandemics such as Covid19 has forced organisations to change the traditional view of leadership. The uncertainties require well-rounded leaders who can create vision and execute tactically to influence change, develop digital capabilities and foster enterprise agility.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems