Honours and Masters project

This multidisciplinary project combines cutting-edge Natural Language Processing (NLP), Chinese Studies and Political Science. The project aims to develop a deeper understanding of how official discourse has developed throughout the history of the People’s Republic of China. The main focus will be on text in the People’s Daily, the largest newspaper in China and the official newspaper of the Chinese Communist Party.

Neural module networks (NMNs) [1] support explainable question answering over text [2] by parsing a natural-language question into a program. Such a program consists of a number of differentiable neural modules that can be executed on text in a soft way, operating over attention scores. As a result, NMNs learn to jointly program and execute these programs in an end-to-end way.

With the glow of digital information techniques, mobile systems are powerful ever and occupying more market shares. Just like wildly used social media sites, e.g. Facebook and Twitter, smartphone usage is up to 80% by 2020. In parallel to this trend, many companies are trying to incorporate Artificial Intelligent especially deep learning empowered applications into devices to further ease the life of people.

An "agent" or "client" in the context of mobile forensics is the program deployed using an exploit to a mobile device to facilitate extraction of the data from the phone. Some agents can also do other functions like passcode brute-force attacks.

    DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However, all motif discovery tools report redundant motifs that poorly represent the biological variability of the same motif, hence renders the identification of the binding protein difficult.

Recently, program generation and optimisation techniques have been adapted to performance critical subroutines in cryptography. Codes generated/optimised by these techniques are both secure and their performance is highly competitive compared to hand-optimised code by experts [1].

The Optimisation group is looking for multiple students to contribute to our world leading research. Our interests range from practical to theoretical. So whether you are interested in path finding for AI in games, solving a complex scheduling problem, designing new algorithms, or working on our specialised modelling language, we will have a project that is of interest to you!

Examples of projects that have been completed by summer students within the optimisation group include:

Pathfinding is fundamental operation in video game AI: virtual characters need to move from location A to location B in order to explore their environment, gather resources or otherwise coordinate themselves in the course of play. Though simple in principle such problems are surprisingly challenging for game developers: paths should be short and appear realistic but they must be computed very quickly, usually with limited CPU resources and using only small amounts of memory.

Are you interested in applying your database knowledge to a real project? This is a collaboration with the Faculty of Medicine, Monash University.

Islam has become the current fastest growing religion in the world. It indicates that a lot of people starting to get interested to study Islam. The best way to study a religion is by reading its holy scripture, where in Islam is the Quran. People who embrace Islam as their religion are called Muslims, and according to them it requires to sincerely open your mind and heart to study Quran, and it will take a lifetime to understand and analyze the deep meaning of Quran. Therefore, most Muslims study Quran with guidance from Muslim scholars to get better understanding of what they read.