UQ advancing the torso scanner with research that will accrue to EMV's patent family portfolio:
Signal processing techniques for electromagnetic torso imaging
Project summary
Program
PhD
Location
St Lucia
Research area
Engineering
Project description
Useful signals recorded in the portable electromagnetic torso scanner are embedded in clutter. To address this challenge, this project aims to develop processing techniques based on the concept of physics-guided data-driven methods. The algorithm should be able to remove clutter and process clutter-free signals to generate images of the liver and a prediction of its effective properties.
This project will have significant economic and societal benefits, such as supporting the efficient design and operation of medical microwave imaging.
Research environment
The successful candidate will be embedded with the world-leading UQ’s Electromagnetic Innovations team led by Professor Amin Abbosh. The required instruments for this project are accessible at UQ’s Microwave Labs, e.g., the multi-port vector network analyzer, near-field measurement systems, dielectric properties measurement systems, bio-model phantoms, etc. For the extensive simulations required in this project, the student will be using UQ’s High-Performance Computing cluster that is equipped with the most advanced CPUs/GPUs.
Associate supervisor
Dr Azin Janani
School of Electrical Engineering and Computer Science View Dr Azin Janani's profile
Preferred educational background
Your application will be assessed on a competitive basis.
We take into account your:
previous academic record
publication record
honours and awards
employment history
A working knowledge of bio-signal processing and AI would be of benefit to someone working on this project.
You will demonstrate academic achievement in the field/s of bio-signal processing and AI in medical applications and the potential for scholastic success.
A background or knowledge of applied electromagnetic and high-level of programming skill in MATLAB and Python is highly desirable.
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