School of
Information Technology and Electrical Engineering

  • Health

    Delivering innovative technologies in imaging, signal analysis and devices to benefit the health of all.


  • Data

    Developing innovative solutions for acquiring, analysing and sharing data for a variety of applications.


  • Automation

    Development of automation solutions for uptake across a diverse range of industries.


  • Energy

    Developing solutions to ensure constant, secure, safe and sustainable energy supply.


Some of our research in Health

Medical Diagnostic Technologies

Working across a range of biomedical projects, our medical diagnostic technologies research encompasses brain imaging, breast imaging, cardiac imaging, image mass spectrometry, sleep and respiratory projects and virtual microscopy.

With Queensland noted as the skin cancer capital of the world, our researchers have developed a novel way to improve the detection and diagnosis of skin diseases. Our terahertz laser technology employs a region of the electromagnetic spectrum that until recently, was almost impossible to use. The technology will safely provide a different view of skin structure to that achievable with visible light, leading to early detection of skin cancer which is still the only proven factor in improving the patient outcome.


Some of our research in Data

Social Media Analytics

Supported by ARC Discovery and Linkage grants Prof Xue Li leads a team researching algorithms to analyse social media to accurately predict the outcome of political elections. The projects include: ‘Opinion Analysis on Objects in Social Networks” and “Fusion of Digital Microscopy and Plain Text Reports for Automated Analysis”. Analysing extremely large amounts of data to reveal patterns and trends, give insights into societal behaviour and predict outcomes is becoming a powerful force in society. As a consequence Prof Li was selected as one of "the most powerful people in Australia" on Big Data by the Financial Review - the Power Issue 2015- after successfully predicting the outcome of the last Queensland state election.


Some of our research in Automation

Working Reliably Under Uncertainty

Automated cyberphysical systems work at the interface between the physical world and the information world. Such systems do not receive perfect information about the world from their sensors, and cannot perfectly predict the outcomes of their control actions. Our research investigates how to build systems that operate efficiently and robustly in such situations, in fields as diverse as cybersecurity, robotics, digital systems and computer networks.


Some of our research in energy

Gatton Solar Research Facility

The Gatton Solar Research Facility (GSRF) was commissioned in March 2015 as part of the Education Investment Fund (EIF) Research Infrastructure Project attached to the AGL Solar PV Plant Project. It is the largest and most sophisticated facility for pilot-scale systems-level PV research anywhere in the world. The installation provides about 40 per cent of the Gatton Campus electricity, and during peak production exports into the local Lockyer Valley 11 kV network.

The UQ Solar initiative, managed by GCI, seeks to better understand the cost efficiencies of solar technologies to improve the integration of solar energy into the electricity grid, paving the way for future large scale solar systems to be connected


The School of Information Technology and Electrical Engineering has a strong, internationally recognised research base. The staff and students within the School are widely published and attract highly competitive grant funding and industry sponsorship.

ITEE is at the forefront of research across the Information & Communication Technology (ICT) and Engineering disciplines. Our research is integral to solving the contemporary issues facing society today. Our multidisciplinary, internationally recognised research is contributing to a society that is more connected, healthy and secure.

Our Interdisciplinary Research Initiatives

Our Research Groups

Biomedical Engineering

Our research covers the fields of magnetic resonance engineering, biomedical instrumentation, image analysis and biosignal analysis, with a focus on developing new tools to improve data acquisition, image reconstruction, and image analysis from medical images.

Power and Energy Systems

Our research activities are centered around renewable generation integration, condition assessment of critical power infrastructure and power electronics control and applications. This includes power system stability, state estimation for distribution networks, power quality, control and operation of power systems and transformer condition monitoring with a specific focus on the needs of the Australian electricity supply industry.

Photonics and Microwave Engineering

The Photonics & Microwave Engineering research group's activities revolve around technologies and techniques for sensing, imaging, and communicating using electromagnetic waves.

Data Science

The Data Science group encompasses a variety of research strengths including: Data and knowledge engineering, security and surveillance, complex and intelligent systems, and eScience / eResearch services.

Cyber Physical Systems

Our research is comprised of three main areas: Robotics, Software Defined Networking, Internet of Things (IoT). Robotics deals with physical objects controlled in the cyber world. Software Defined Networking is a programming mechanism for connecting physical and cyber devices together, and Internet of Things concerns the connection to the internet of devices that would normally be standalone.


Co-Innovation is an inter-disciplinary research group crossing conventional boundaries comprising social robotics, interaction design, software engineering and human-computer interaction. Our research activities focus on creating new technologies that empower people and their communities through health, education, music and language.