Electrical and Biomedical Engineering

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Electrical and biomedical engineering is a diverse discipline with research varying from high voltage distribution networks to microfluidic devices for analysis of biological cells.

Research focus

Our current research is focused on the following five areas.

Power, energy and control

  • Power electronic conversion systems
  • Electrical grid energy conversion equipment
  • High-voltage distribution engineering
  • Advanced control systems
  • Industrial automation

Audio/Video/Image signal processing

  • Speech, video and image processing
  • Non-linguistic speech classification using machine learning 
  • Recognition of emotions and mental states using speech analysis
  • Automatic analysis of conversations for human-machine communication systems
  • Computational neuroscience 

Biomedical engineering

  • Biomedical electronics and devices
  • Therapeutic applications of electromagnetic radiation 
  • Implantable and rehabilitation engineering
  • Novel biomaterials
  • Microfluidic platforms for portable medical diagnostics

Computer engineering and embedded systems

  • Embedded system design and applications
  • Machine – machine interactions
  • High performance digital logic

Complex and intelligent systems

  • Complex and dynamic systems and networks
  • Industrial information technologies

Our impact

We work extensively with partners to solve practical problems facing industries and communities. Our partners have included:

  • Australian Defence Science and Technology Group (DSTG)
  • Telstra
  • Creative Power Technologies
  • Robert Bosch Pty Ltd
  • Wilson Transformer Company Pty Ltd
  • Clarinox Technologies
  • St Vincent's Hospital
  • Centre for Eye Research Australia
  • Centre for Digital Mental Health, University of Oregon, Eugene, USA
  • Oregon Research Institute, USA
  • Human Trust and Interaction Branch, Wright-Patterson AFB, Ohio, USA

Recent research highlights include:

  • The development and commercialisation of early fault detection technology for use on power lines in the high bushfire risk areas in Victoria. The award-winning technology has helped improve the public safety of Victoria through preventing fires started by power lines.
  • The successful development of a real-time speech emotion recognition system. The system simultaneously recognises seven different emotional categories and is suitable for mobile phone and online speech communication platforms.
  • Parkinson’s disease diagnostics approach which received international attention and received coverage from media outlets such as BBC, ABC and Channel 9.
  • Research on diamond coated 3D scaffolds for medical applications which received significant international and national coverage.

Research centres and groups

  • NHMRC Centre of Excellence in Electromagnetic Energy Research

Facilities

  • High Voltage Laboratory
  • MicroGrid Facility 
  • Biomedical Engineering and Biomaterials Lab
  • Biomedical Signal Analysis and Instrumentation Lab

Who we are

Electrical and Biomedical Engineering staff

Latest news

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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.