Honours and Minor Thesis projects

Are you interested in learning Big Data? Big Data is a multi-million industry. This project focuses on processing large data volume, including high velocity stream data.
 

Since the 1990s, researchers have known that commonly-used public-key cryptosystems (such as RSA and Diffie-Hellman systems) could be potentially broken using efficient algorithms running on a special type of computer based on the principles of quantum mechanics, known as a quantum computer. Due to significant recent advances in quantum computing technology, this threat may become a practical reality in the coming years. To mitigate against this threat, new `post-quantum’ (a.k.a.

With the rise of software systems ranging from personal assistance to the nation's facilities, software defects become more critical concerns as they can cost millions of dollars as well as impact human lives. Yet, at the breakneck pace of rapid software development settings (like CI/CD, Agile, Rapid Releases), Software Quality Assurance (QA) practices (e.g., code review and software testing) nowadays are still time-consuming.

In this project you will work on creating a 3D printed platform used with an iPad for people who are blind or have low vision. The platform will allow people to program in the Scratch visual programming language (https://scratch.mit.edu/) using 3D printed blocks.

Accessing maps is a very challenging task for people with vision impairment. Particularly, navigating a map using panning and zooming and finding information on the screen. 

People who are blind need to touch surfaces and materials to get information. These surfaces can be a Braille paper that has Braille text, a swell paper that has embossed shapes, and a button that is used to turn on and off a device like a TV or to open a train carriage door.

For Australians with impaired vision, accessible books are a lifeline to education and vital everyday information, and also to the independence and personal autonomy that sighted people take for granted. Yet much literature remains in an inaccessible format. 

Today's society and its organisations are becoming ever-increasingly dependent upon Information and Communication Technology (ICT) systems mostly based in cloud data centres. These cloud data centres, serving as infrastructure for hosting ICT services, are consuming a large amount of electricity leading to (a) high operational costs and (b) high carbon footprint on the environment. In response to these concerns, renewable energy systems are shown to be extremely useful both in reducing dependence on finite fossil fuels and decreasing environmental impacts.

BARD: Bayesian Argumentation via Delphi [1] is a software system designed to help groups of intelligence analysts make better decisions. The software was funded by IARPA as part of the larger Crowdsourcing Evidence, Argumentation, Thinking and Evaluation (CREATE) program. The tool, developed at Monash University, uses causal Bayesian networks as underlying structured representations for argument analysis. It uses automated Delphi methods to help groups of analysts develop, improve and present their analyses.

Point of sales (POS) is the data that is recorded at the retailer level when consumers purchase the products.  POS data is becoming increasingly popular for companies to predict their sales. In a supply chain, the POS data are often used by retailers to predict their sales, however, manufacturers and suppliers have not benefited enough from POS data. Retailers place their orders to suppliers as they predict their sales.