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Research projects in Information Technology

Displaying 1 - 10 of 55 projects.


PhD Scholarship: Visualising Global Encounters & First Nations Peoples (Practice Based)

This PhD scholarship is funded as an important collaboration between the Faculty of Information Technology and the ARC Laureate project Global Encounters and First Nations Peoples: 1000 years of Australian History, conducted by Professor Lynette Russell AM.

Supervisor: Dr Thomas Chandler

Reconstructing the Past through Immersive Media

Recent advances in technology mean we can now reappraise the exploration of the past as a future-aligned endeavour. The definition of the ‘past’ here is broad; the reconstruction of a bygone world may derive from relatively recent written texts or photographic archives, from centuries old remains uncovered in archaeological excavations, or even far back in ‘deep time’, to the long-vanished ecologies evidenced in the fossil record.

Supervisor: Dr Thomas Chandler

Developing and evaluating educational chatbot to support self-regulated learning

The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global warming. The bot will support students' self-regulated learning skills which were theorised to promote learning achievements and boost motivation.

This research will unfold over the following 3 phases:

1. Reviewing the literature on self-regulated learning and creating a set of responses from the bot

2. Developing rule-based chatbot

Supervisor: Dr Mladen Rakovic

Context-aware physical activity recognition and monitoring

The project will focus on developing a context-aware physical activity recognition and monitoring. The project aims to incorporate context-awareness into the physical activity recognition. The contextual data will be collected from the user's mobile phone's sensors, external sensors and wearables (if available) and public web APIs. The outcomes could be used in a number of healthcare applications to assist patients with diabetes, low back pain, or other chronic diseases for self-management of chronic pain and providing them with personalised, context-aware recommendations.

Syndromic Surveillance from Social Media

Developing social media epidemic intelligence for chronic conditions such as arthritis, back pain and tracking associated areas regarding treatments, like-style factors including obesity, diet, physical activity and exercise is the focus of this project. It will explore and apply potential NLP and text mining approaches for developing a real-time social media surveillance platform to assist with preventative health.

Generating human-centered explanation for a social robot capable of multimodal emotion recognition

Robots in Human-Robot Interaction (HRI) often contain complex components and advanced functions based on automated decision-making models. In particular, affective HRI systems aim at achieving intended outcomes, such as mental or physical health of the user, through understanding, responding to, and influencing the emotional states of the users.

Supervisor: Dr Mor Vered

Using 3D Printing to Improve Access to Graphics by Blind and Low Vision People

This project seeks to explore the use of 3D printing to provide better access to graphical information to those who are blind or have low vision.

Supervisor: Dr Matthew Butler

Workspace Layout Optimisation for Improved Operator Decision Making

Energy market operators make data-driven decisions via 24/7 control rooms with the use of many different applications across their multiple screen workstations. The types of decisions the operators are undertaking depend on the time of day and the state of the network. With the increase of data in recent years and the influx of distributed energy resources, the types of decisions and quantity of information needing to be looked at at a glance to make informed decisions is rapidly changing.

Supervisor: Dr Sarah Goodwin

Improving Visual Communication of Energy Forecast Uncertainty

Communicating uncertainty in a manner that clearly and accurately conveys the data to enable decision making, is a well known and difficult challenge in the information visualisation community. This project therefore aims to improve the communication of uncertainty of forecast models by working in collaboration with data modellers and those who are interpreting them.

Supervisor: Dr Sarah Goodwin