Research projects in Information Technology

This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing techniques to exploit the data and create a next-generation, eco-friendly navigation system which will significantly reduce greenhouse gas emissions and result in fuel saving. The initiative also aims to study the citywide impact of adapting to eco-friendly navigation on traffic, environment and road safety – therefore supporting urban planning and decision-making.

This project heavily focuses on maps (e.g. GoogleMaps or Open Street Map). We will explore various properties of road networks, including the granularity of road networks, routes and trajectories on road networks, and query processing on road networks. 

A number of inter-disciplinary collaboration exists, including transportation to hospitals, urban sprawl analysis, and geospatial in sustainability (e.g. analysing placement of rubbish bins on streets).

This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof).

One potential area of exploration for the candidate is extending the work on Pathling (developed by the CSIRO).

Another area demanding further investigation and research is that of dynamic and extensible clinical decision support through CDS Hooks.

#digitalhealth #health #FHIR #interoperability #software #EMR #CDS

This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof).

The primary aim of this work is the extend and localise (to the Australian context) the open source Synthea stack. #Synthea is a very valuable tool in health IT R and D and in health data research.

#digitalhealth #FHIR #synthetic #healthdata #data #hospital 

Since the 1990s, researchers have known that commonly-used public-key cryptosystems (such as RSA and Diffie-Hellman systems) could be potentially broken using an efficient algorithm running on a hypothetical quantum computer based on the principles of quantum mechanics. This potential threat remains a theoretical possibility, but may become a real threat in coming years  due to significant advances in quantum computing technology. 

Cybersecurity is regarded as a high priority for governments and individuals today. With the practical realization of quantum computers just around the corner, classical cryptographic schemes in use today will no longer provide security in the presence of such technology. Therefore, cryptography based on “Post-Quantum” (PQ) techniques (that resists attacks by quantum computers) is a central goal for future cryptosystems and their applications.

This project aims to design effective and intelligent search techniques for large scale social network data. The project expects to advance existing social network search systems in three unique aspects: utilizing the geographical locations of queries and social network data to provide more relevant results; acknowledging and handling inherent uncertainties in the data; and exploiting knowledge graphs to produce intelligent search results. Expected outcomes of this project include a next-generation social network search system and enhanced international collaborations.

A large part of modern life is lived indoors such as in homes, offices, shopping malls, universities, libraries and airports. However, almost all of the existing location-based services (LBS) have been designed only for outdoor space. This is mainly because the global positioning system (GPS) and other positioning technologies cannot accurately identify the locations in indoor venues.