Honours and Minor Thesis projects

This project is within the scope of the project “Artificial Intelligence in carDiac arrEst” (AIDE), which was led by Ambulance Victoria (AV) in Australia, involving a team of researchers at Monash University. This AIDE project has developed an Artificial Intelligence (AI) tool to recognise potential Out-of-Hospital-Cardiac Arrest (OHCA) during the Triple Zero (000) call by using transcripts produced by Microsoft Automatic Speech Recognition service.

Mobile apps are now indispensable in our daily life. With the increasing interconnection of smart devices, users may adopt the same app on different devices for the same task, like playing the same game on both phones and TV. However, the significant difference in screen size and aspect ratio make the content display on Graphical User Interface (GUI) challenging to adapt to all screens.

A qualified Android application testing tool is a solid foundation for further tasks, such as crash detection and GUI collection. Like Monkey, Soat, Sapienz and Fastbot, current testing tools adopt a random dynamic exploration strategy, which means random events are generated and applied to current UIs on the phone screen. As mobile applications become larger and larger, traditional exploring methods become less and less efficient.

Software maintenance activities are known to be generally expensive and challenging and one of the most important maintenance tasks is to handle bug reports. Bug reports allow users to inform developers of the problems encountered while using software. It goes on to contain a reproduction step or stack trace to assist developers in reproducing the bug, and supplement information such as screenshots, error logs, environments, and screen recordings.

Screen recordings of mobile applications are easy to obtain and capture a wealth of information pertinent to users (e.g., tutorials, feature usages), making them a popular mechanism for crowdsourced app usage. Manually following the screen recordings to replay the app usage can be a time consuming process, due to the long length of the recordings and UI bias between screens. Therefore, for users and developers, it is crucial to accelerate the replay process.

The number of available Android applications continues to increase, leading to increasing pressure on developers to release popular applications. As the default distribution channel for Android apps, Google Play (GP) contains over 3.8 million Android apps. However, due to a lack of discoverability, users may be unaware of the available app features. Imagine the frustrating user experience when a user is playing an Android game app without any description or how-to-play guide.

The last several years have witnessed the promising growth of AI-empowered techniques in mobile devices, from the camera to smart assistants. Users can find traces of AI in almost every aspect of mobile devices.

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.

Electricity is an essential part of modern life and the economy. Driven by a combination of policy support and rapidly falling costs of low-carbon technologies, Australia is experiencing a sharp rise in the deployment of distributed energy sources (DERs). Typical DERs include wind, solar photovoltaics (PV), battery storage, and electric vehicles (EVs) on the consumer side.

A lot of decision support systems have been developed to predict or suggest a diagnosis about the health conditions of patients with the aim to assist clinicians in their decisional process. One of the techniques that is proved to present an efficient tool for medical healthcare decision making is Bayesian networks (BNs). BNs are recognized as efficient graphical models that can be used to explain the relationships between variables.