Student topics

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

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

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

Institutions of higher learning are essential for supplying any economy with high-quality labour and innovations. Also, these institutions are crucial to actively achieving the objectives of inclusive and sustainable development. These organisations have adapted more inclusive and sustainable development practices over time; particularly, the leadership team now has a higher percentage of female members. Rarely is there literature on how adjustments to these strategies and leadership have an impact on institutional performance. This study fills in this knowledge gap to …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance

This research project aims to investigate the effects of interactions with intelligent agents on player experiences in various contexts, including videogames, learning-teaching, and complex data analysis. The intelligent agents will be developed using ChatGPT as a backend, and the studies will be conducted in both single-player and multiplayer settings, utilizing virtual and augmented reality technologies.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

This research project aims to investigate the experiences and needs of women involved in esports and gaming communities at QUT. Through observations and interviews with participants, the study aims to gain insights into improving women's sense of belongingness in these communities. The ultimate goal is to provide recommendations for university esports administration and contribute to academic publications on gender inclusivity in esports.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Investigate the potential applications of RPA/ Process Automation in the healthcare sector. Explore how RPA/Process Automation can streamline administrative tasks, improve patient data management, enhance healthcare delivery processes, and support clinical decision-making. Address the challenges and opportunities of implementing RPA in highly regulated environments like healthcare.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Coral reefs face cumulative threats from climate change to shipping and the concern is that this can cause reefs to transition from coral to rubble dominated states. The formation of coral rubble is a natural part of the reef cycle, however, too much rubble can decrease the resilience of reefs and prevent recovery. A number of coral rubble stabilisation methods are being utilised globally including Mars Assisted Reef Restoration System of hexagonal metal units that are deployed on reefs with …

Study level

Master of Philosophy, Honours

School

School of Earth and Atmospheric Sciences

Research centre(s)

Centre for the Environment

Pulse power shows great promise for many applications including air and water purification. Repetitive Pulse Power Generators (PPGs) generate medium frequency power pulses (few kW) with small duration (few us to few ns) and with repetition frequencies of a few hundred Hz to a few kHz (see DOI: 10.1109/ACCESS.2019.2947632 for more info).The PPGs are constructed from series connected cells often in Marx generator like structures, but with active semiconductor switches such as MOSFETs in place of the traditional spark gaps …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics