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Found 90 matching student topics

Displaying 61–72 of 90 results

Forecasting mosquito populations in response to meteorological variables

Being able to forecast changes in disease-carrying mosquito populations as a result of changes in rainfall and temperature would provide a powerful tool to public health bodies and also allow for more efficient application of biological control strategies.The invasive mosquito, 'Aedes aegypti', predominantly inhabits urban landscapes and is responsible for the spread of diseases such as Dengue, Zika and Chikungunya.It’s populations tend to decline during the cooler months and vary in the warmer months in response to rainfall events.Recent biological …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Spatio-temporal statistical modelling of mosquito movement through urban landscapes

The invasive mosquito 'Aedes aegypti' predominantly inhabits urban landscapes and is responsible for the spread of diseases such as Dengue, Zika and Chikungunya, but little is known about how this mosquito moves between houses and neighbourhood blocks in search of a mate and food.Mark-release-recapture experiments have been used in the past to study the dispersal of female mosquitoes in north Queensland and to estimate important movement parameters. These experiments involve marking mosquitoes with coloured dust, releasing them into a landscape …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Topics in Computational Bayesian Statistics

Bayesian statistics provide a framework for a statistical inference for quantifying the uncertainty of unknowns based on information pre and post data collection.This information is captured in the posterior distribution, which is a probability distribution over the space of unknowns given the observed data.The ability to make inferences based on the posterior essentially amounts to efficiently simulating from the posterior distribution, which can generally not be done perfectly in practice.This task of sampling may be challenging for various reasons:The posterior …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

The perverse risks of strong enforcement

Environmental groups often argue that governments should have strong regulatory powers. That is, they should be allowed to:close down fisheries (e.g., the international whale fishery)ban the export of exploited organisms (e.g., the Convention on International Trade in Endangered Species, CITES)make environmentally destructive actions illegal (e.g., land clearing). However, if the economic actors who are exposed to these changes – the fishers, hunters, farmers – are aware that changes are imminent, they might take strategic, preventative steps to avoid the associated …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Hybrid Intelligence - Big data visual analytics

The impact of climate change on human and fauna has led to advances in sensing technologies which have enabled environmental monitoring over a large area and a long period of time.Multiple networks have been set up around the world to monitor biodiversity using terrestrial acoustic sensors. Timely and appropriate analysis of the big archive of environmental sound becomes a great challenge.The research question that will be looked at is: What are good ways to support human interaction with big data? …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Stochastic Process Mining

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs.Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes to, for instance, optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many successful commercial solutions being offered.Business process models describe what can happen in a …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Topics in optimal experimental design

Research in science and technology can be a process of guided learning through experiments.The purpose of experimental design is to make that process as efficient as possible.In this project, you will develop innovative and novel methods in statistics to answer open research questions in, for example, biology, agriculture and medicine.Potential topics include:New computational algorithms for adaptive N-of-1 clinical trials.Experimental design methods for precision agriculture.Preventing the spread of infectious diseases through designed experiments.Understanding tumour growth through new experiments in biology.New experimental …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Modeling methods to improve predictive analytics

The project aims to investigate how conceptual modeling methods can be used to improve understanding of the data and help to select the best approach for predictive analytics.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Conceptualizing Business Analytics Challenges in the Digital Age

The main objective of this project is to analyse what are the main challenges of business analytics and to propose methods to avoid those challenges.As part of this project, previous studies will be reviewed to identify the challenges scholars have pointed out. A conceptual framework will then be proposed to understand these challenges and explain how they can be addressed.

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Aggregation, analyses and forecasting of network traffic conditions

This project will develop algorithms and software to process traffic data and generate comprehensive and systematic summaries of network conditions.The objectives of this project include:integrating a variety of data sources from trafficexpanding existing data-processing algorithms to generate summaries of the dataprocessing the integrated data with softwareevaluating and validating the forecasting resultsdocumenting the entire development process and softwareproposing future research projects to improve and expand the results from this project. …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

Customer experience measure from existing network performance data

Current metrics for road performance relates primarily to the operational performance of the asset, not the customer experience. However, to support the Department of Transport and Main Road’s (TMR) aspirations as a customer-centric organization there is an opportunity to supplement our performance measures to provide a better understanding of the customer’s journey experience.Furthermore, there are different types of customers and, to deliver an improved customer experience, an understanding of the factors relating to their individual level of stress needs to …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

Understanding the effectiveness of traveller information dissemination tools for travel demand management outcomes

The Department of Transport and Main Roads (TMR) provides Traveller Information Services, such as variable message signs (VMS), to inform road users of traffic and road conditions, enabling them to make informed travel decisions.For example, in an event of a crash on a motorway, a VMS will present information that aims to warns motorists of potential issues and encourages motorists to make alternative route choices to avoid unnecessary delays and be potentially subjected to further risks.However, there is not a …

Study level
PhD, Master of Philosophy
Faculty
Science and Engineering Faculty
Lead unit
School of Civil Engineering and Built Environment

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