Research in Engineering and Technology

The School of Engineering and Technology has a number of active research areas covering an array of interests in building forensics and civil engineering; clean energy; engineering and technology education; intelligent systems; mechatronics, automation and mobile technology; and railway engineering, technology and innovation. Research by the School of Engineering and Technology predominantly involves strong links with peak professional bodies, government and industrial partners, both locally and further afield.

Research and Research Higher Degree student supervision is concentrated in the following areas:

  • Building forensics and civil engineering
  • Clean energy
  • Engineering and technology education
  • Intelligent systems
  • Mechatronics, automation and mobile technology
  • Railway engineering, technology and innovation

Set Research Centres and Groups

The Centre for Railway Engineering

The Centre for Railway Engineering (CRE) is an industry-focused research centre hosted by the School of Engineering and Technology (SET) at CQUniversity located in Rockhampton. CRE has a strong customer focus and endeavours to build robust partnerships between its researchers and the rail industry through high quality generic and commercial research, postgraduate education, innovation, development and consultancy services.

Centre for Machine Learning - Networking and Education Technology

The Centre for Machine Learning conducts outcome driven as well as theoretical research in the areas of complex intelligent systems. A particular focus is applied technologies relating to ICT and Engineering applications. The Centre’s main research areas are as follows:

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Computer Vision
  • Data Science
  • Autonomous Systems
  • Internet of Things
  • Smart Grids
  • Sensor Technology
  • Intelligent Homes/Buildings
  • Efficient Heating/Cooling
  • Clean Energy Technologies
  • Aystems for Alternate Fuel

Civil Engineering and Built Environment Research Group

Fuel and Energy Research Group

Smart Grid Research Group

Data Science Research Group