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Research projects in Information Technology

Displaying 1 - 10 of 13 projects.


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

Semantic Extraction of Building Information for Mixed Reality Data Visualisation

This ambitious project combines the latest advances in Computer Vision and Immersive Data Visualisation to support people who rely on digital models of physical infrastructure. The construction and engineering industries are increasingly moving toward digital technologies, including digital models and virtual twins. Mixed Reality allows for building managers, engineers, or maintenance workers to visualise digital information directly overlaid on the physical infrastructure, providing better understanding and decision-making capabilities.

Supervisor: Dr Barrett Ens

Woodside — Explainable optimisation

A collaboration between Woodside Energy and Monash University has resulted in a system able to provide high quality plant layouts (including equipment positioning and pipe routing) for large chemical plants. This system works by optimising an objective function based on a calculated costs for the land footprint, piping and structural steel in the computed layout, while optimising a set of constraints based on safety, access and maintenance requirements for the plant.

Supervisor: Dr Michael Wybrow

Mixed-Reality Human-Machine Symbiosis for Maintenance Tasks in Physically Embedded Workflows

This project will explore the use of Mixed-Reality (MR) headset technology to support people in performing maintenance tasks in complex environments, where the nature of the work involves close inspection of and interaction with mechanical devices.  Examples might include aircraft maintenance or other complex workshop environments.  We term work in such situations as "physically embedded" in that the nature of the workflow and the information and data associated with the work is closely tied to the physical machinery.  Such maintenance support requires providing the worker with timely and r

Urban Visual Analytics

Visualisation can help unravelling the complex urban fabrics that form our cities. Yet there is a critical need to bridge the gap between the flood of urban data and the capacity of decision makers to integrate that data into effective and informed decisions.

Supervisor: Dr Sarah Goodwin

Visualisation design methodologies for enriching our understanding of visual literacy

Literacy is not just about reading. Knowing the data and visual literacy of the user is a major challenge for the visualisation designer and this can differ between users, projects and different tasks.

New methods are beginning to be developed to make the visualisation design process more efficient and help us understand our user's needs more quickly.

Supervisor: Dr Sarah Goodwin

Energy Data Visualisation and Visual Analytics

The energy sector is seeing substantial technological and analytical enhancements enabling the delivery of smart systems via sensors, monitors and other digital technologies as well as improvements to predictions, forecasts and models throughout the industry. 

This emerging data is not only growing in volume, but in its complexity. To deal with this, data visualisation and visual analytics offers a vast array of opportunities for the energy domain, and a new wave of Energy Visualisation has emerged as a critical topic for research.

Supervisor: Dr Sarah Goodwin

Interactive Haskell Type Inference Exploration

Advanced strongly typed languages like Haskell and emerging type systems like refinement types (as implemented in Liquid Haskell) offer strong guarantees about the correctness of programs.  However, when type errors occur it can be difficult for programmers to understand their cause.  Such errors are particularly confusing for people learning the language.  The situation is not helped by the cryptic error messages often produced by compilers.

Immersive Network Visualisation

We live and work in a world of complex relationships between data, systems, knowledge, people, documents, biology, software, society, politics, commerce and so on.  We can model these relationships as networks or graphs in the hope of reasoning about them - but the tools that we have for understanding such network structured data (whether algorithmic analytics or visualisation tools) remain crude.  Emerging display and interaction devices such as augmented and virtual reality headsets offer new ways to visualise and interact with data in the world around us rather than on screens.  This pro