Student topics

Study the dynamics and challenges of human-robot collaboration in the context of RPA and Business Process Automation. Explore ways to design collaborative interfaces, communication protocols, and decision-making frameworks that enable seamless interactions between human workers and automation robots (RPA), leading to efficient and effective task completion.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Behavioural Economics, Society and Technology

Identify the specific competencies and skills that leaders need to effectively lead AI adoption initiatives in organisations. Research can focus on areas such as data literacy, AI literacy, critical thinking, decision-making, and the ability to manage and interpret AI-driven insights. Develop frameworks for assessing and developing these competencies in leaders.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Behavioural Economics, Society and Technology

Examine how the introduction of AI technologies reshapes traditional leadership roles and organisational structures. Investigate the evolving nature of leadership in decentralised, AI-driven decision-making processes and explore how leaders can effectively adapt to new leadership paradigms.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Behavioural Economics, Society and Technology

Artificial intelligence (AI) is driving transformation across all areas of society today. An umbrella term encompassing a range of technologies both sophisticated and simple that are used to make predictions, inferences, recommendations, or decisions with data. AI is used in many products and services that people use, interact with, or are impacted by every day. It already in place of local government and assisting government officials in providing services effectively and conduct their activities more efficiently to the public. The …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Smart campus is an emerging concept following the smart city research movement and is predominantly argued to be a miniature replica of the smart city providing an ideal prototype for university campus development. The smart campus concept has attracted much attention, predominantly due to the rise in artificial intelligence, internet-of-things, cloud computing and big data applications in advancing university campus operation efficiency. In recent years, Australian universities started to invest in smart campus technologies and development opportunities.ReferenceA brief background on …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Weakly nonlinear waves are described by dispersive pdes, such as the famous Korteweg–De Vries (KdV) equation. These models have applications to a variety of phenomena in physics, including the propagation of water waves, but they are also interesting from a mathematical perspective because they can have special properties.While the KdV equation and its variants are well-studied in the literature, a new approach is to attempt to learn about wave propagation by investigating solution behaviour in complex plane. For example, there …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Chronic wet cough is among the commonest symptoms of chronic lung disease. In Australia, the most common cause of childhood chronic wet cough is protracted bacterial bronchitis (PBB), a clinical entity we first described. It has now been shown to be a precursor to bronchiectasis, which causes substantial morbidity and mortality, especially from acute respiratory exacerbations. Lung inflammation in children with persistent chronic wet cough is an important driver of ongoing and progressive tissue damage, leading to bronchiectasis, highlighting the …

Study level

PhD

Faculty

Faculty of Health

School

School of Public Health and Social Work

Research centre(s)

Centre for Healthcare Transformation
Australian Centre for Health Services Innovation

Stochastic simulation-based models are very attractive to study population-biology, disease transmission, development and disease. These models naturally incorporate randomness in a way that is consistent with experimental measurements that describe natural phenomena.Standard statistical techniques are not directly compatible with data produced by simulation-based stochastic models since the model likelihood function is unavailable. Progress can be made, however, by introducing an auxiliary likelihood function can be formulated, and this auxiliary likelihood function can be used for identifiability analysis, parameter estimation and …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science

There is a need for additional studies to monitor on-field performance parameters in female elite athletes (Meignié 2021). We know that wearable sensors can be used to monitor the physiological and biochemical profile of athletes (Seshadri 2019), and a combination of several wearables is going to be more effective for accessing all relevant parameters (Düking 2016). However, there is limited research on the effects of menstrual cycle phases on elite athlete performance (Meignié 2021).This proposed research aims to bridge the …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Carbon markets are recent social innovations of our modern economy. These national and international carbon markets are expected to play crucial roles in addressing climate change. There are many shortcomings of existing structures of the carbon markets. Rich literature discusses loopholes in these markets which undermine their ability to assist with global efforts of emission reduction and abatement. This project aims to discuss both theoretical and empirical issues relevant to these loopholes.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance

Research centre(s)

Centre for Agriculture and the Bioeconomy

Evidence-based teaching (EBT) refers to “the conscientious, explicit, and judicious integration of best available research on teaching technique and expertise within the context of student, teacher, department, college, university, and community characteristics” (Groccia & Buskist 2011). In practice, EBT involves educational practices derived from empirical data that show a well-established association with improved course grade, student feedback, and course-driven learning goals. Literature on EBT is growing but there is little on the impact of EBTs on students, academics as well …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance