Found 468 matching student topics
Displaying 1–12 of 468 results
Leading diversity
Diversity is a buzz word in many organizations today. While having a diverse team promise potential for innovation and creativity, it can also create many challenges. Leading diversity will be an important capability for future leaders.
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Management
- Research centre(s)
- Centre for Future Enterprise
Australian Centre for Entrepreneurship Research
Characterising Crowd-based Organisations
The focus of this project is on “crowd-based organisations” which are rapidly assembled organisations composed of online crowd workers to achieve complex goals.Currently, organisations use crowdsourcing strategies such as microtasking to enable goals that are so simple and modular and can be pre-defined. For example, major companies such as IBM, HP, and Oracle, have invested in Open Source Software (OSS) platforms and this allows them to harness collective intelligence through what are essentially crowdsourced activities (OSS software contributions). However, understanding …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Information Systems
Australian Ganoderma species for the production of bioactive metabolites and new functional materials synthesis
Fungi are essential components of all ecosystems in roles including symbiotic partners, decomposers and nutrient cyclers and as a source of food for vertebrates and invertebrates. While vital to soil health and organic matter turnover, fungi have great potential in sustainable design and medicine.Ganoderma strains in particular produce bioactive compounds and display growth characteristics that favour their use in medical and applied biotechnology. Some species produce triterpenoids, such as ganoderic acids, and have been used in traditional Asian medicine for …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Aggressive lane change and cornering detection in the connected vehicle environment
BackgroundSoon, vehicles equipped with Cooperative Vehicle Intelligent Transport Systems (C-ITS) will be on Australian roads. C-ITS will enable several safety functions (use cases) which are expected to improve road safety. After-market products C-ITS based has the advantage of being a feasible solution for existing vehicles with outdated technologies, which might be the origin of the road safety problems. Moreover, C-ITS data enables real-time evaluation of driver behaviour which can be used in several applications such as driver assistance and early …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
Decision modelling in blockchain adoption and environmental implications
Due to the decentralised and immutable nature of distributed ledger systems, blockchain has become a critical priority for organisations across the world. The global blockchain market is expected to grow from $1.57 billion in 2018 to $162.84 billion by 2027.From an ecological perspective, blockchain has raised environmental concerns due to increasing computational power that is required to operate energy-intensive consensus mechanisms. However, it also has the potential to help promote renewable energy through a variety of blockchain-based use cases such …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Information Systems
Decision modelling to overcome intergenerational discounting
This project aims to address a key obstacle to climate action: intergenerational discounting, a phenomenon that explains the tendency for people to prefer smaller benefits for themselves now, rather than larger benefits for future generations. Intergenerational discounting becomes even more problematic due to a growing global population and increasingly intensive use of natural resources.In this project, we follow the design science approach and aim to establish design principles necessary for decision modelling to overcome intergenerational discounting and achieve genuine and …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Information Systems
Electrothermal film heaters
Flexible electrothermal heaters have attracted a growing interest because of their broad applications in wearable electronics, including warming garments, and as flexural warmers for medical devices and vehicles. Traditional electrothermal materials such as ferro chromium (FeCr)-based alloys have disadvantages such as heavy weight, rigidity and low heating efficiency. Indium tin oxide (ITO) is widely used in commercial products due to its high transparency and high electrical conductivity. However, the finite reserve of indium has resulted in an increasing price of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Organic thin film transistors for sensors, bioelectronic interfaces and bionics
Organic electronic devices are flexible, light weight and stretchable, which makes them an ideal candidate for integrating and interfacing with soft tissues in biological systems. An attractive attribute of organic electronic devices is the solution processibility of constituent layers, since solution-processable devices have the potential to be printed into complex designs and shapes, leading to integrated devices with multiple functionalities.Particularly, organic thin film transistors (OTFTs) have the potential to offer low cost, easy to use and printable sensors for a …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Carbonate Sediment dynamics from the Southern Great Barrier Reef Coral Sea
The southern extent of the modern Great Barrier Reef (GBR) marks the transition from tropical to subtropical ocean conditions. The shelf edge and upper slope in this vast area of the southern GBR were poorly mapped when compared to the north. Very little systematic multibeam seafloor mapping had been done in the southern GBR with most datasets collected opportunistically while in transit.New bathymetry, backscatter data, and sediments samples extend our understanding of eastern Australia’s palaeoshorelines and provide a basis for …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Earth and Atmospheric Sciences
- Research centre(s)
-
Centre for the Environment
Evaluation of machine learning approaches for transfer learning
Transfer learning is becoming a popular machine learning approach which aims to transfer knowledge from a source domain to a target domain. Domain adaptation is a special case of transfer learning. Domain adaptation has proven to be significant in classification tasks where the target domain does not have labelled data, a requirement for building classifiers, however, there exists a related labelled data, called as source domain.Domain adaptation has been studied in the recent time and hence there exists many variants …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Taxonomy of data science methods
To reap the benefits of data science it's necessary to be able to pair real world data problems with data science methods.In this project we'll begin to map out the key methods, their benefits and drawbacks, and suitability of each given some initial problem statements.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Explainability of machine learning methods
Machine learning can be very powerful but its black box reputation can be an obstacle for industry.In this project we'll look at creative ways to visually convey how methods like deep neural nets, random forest, XGBoost algoritms, and support vector machines work for different audiences.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science