In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices, we aim to develop efficient and scalable techniques to enable the deployment of advanced vision-language models (VLMs) on edge hardware. While VLMs have demonstrated strong capabilities in multimodal reasoning and understanding, their high computational and memory demands pose significant challenges for real-time, on-device applications.
Honours and Masters project
Displaying 261 - 266 of 266 honours projects.
Immersive Environmental Journalism
Online articles, including news and government reports, hold critical significance in communicating environmental issues (e.g., Black Summer bushfires, water security, or renewable energy). Although charts and photographs on a 2D screen can communicate facts, they struggle to cultivate the deeper engagement and empathy that comes from direct presence in the affected environments.
Two converging technological shifts create a new opportunity.
Evaluating Immersive Multiview Maps
The project aims to evaluate an immersive virtual reality system for visual exploration of global data. Visual exploration of maps often requires a contextual understanding at multiple scales and locations. Multiview map layouts, which present a hierarchy of multiple views to reveal detail at various scales and locations, have been shown to support better performance than traditional single-view exploration on desktop displays. We created a virtual reality system, named immersive multiview maps, that allows for visual exploration of global data across geographical and temporal scales.
Evaluating Large Language Model Accuracy for Clinical Document Parsing in Australian Healthcare Contexts
Background and Motivation
User Behaviour and Latent Intent in Software Engineering
This project investigates how user and developer behaviour can be modelled as latent states underlying observable software-engineering and requirements-engineering artefacts, and how recovering these states can deliver actionable insight to practitioners — for example, early signals of requirement instability, indicators of stakeholder misalignment, or behavioural predictors of defect-prone modules.
Co‑designing Teamwork Feedback for Computing Education
Team‑based projects are widely used across computing education to support the development of technical competence alongside collaboration and professional skills. While students engage extensively in teamwork during these projects, educators often face challenges in seeing and responding to teamwork processes as they unfold, which can constrain opportunities to provide timely, process‑focused feedback beyond final project outcomes.