Professor Andrew Bradley is a Fellow of Engineers Australia, an Engineering Executive and a Registered Professional Engineer Queensland in the fields of Biomedical Engineering, Information Telecommunications & Electronics, and Management. He undertook his PhD at The University of Queensland and a post-doctoral Fellowship at the University of Alberta. He has been an ARC Future Fellow, Principal Research Engineer for Canon Information Systems Research Australia, Chief Technology Officer for Ausonex, a company specialising in the design and development of hearing test instruments, and Principal Biomedical Engineer for Maxwell MRI, a company developing the next generation of diagnostic tools powered by artificial intelligence and multi-parametric magnetic resonance imaging.
Professor Bradley has a broad interdisciplinary knowledge across biomedical engineering and computer science, specialising in real-time signal and image processing for the development and evaluation of machine learning systems with applications in digital health, computer aided diagnosis and medical imaging. His research focuses on working with clinicians in the development of novel medical devices and software tools designed to improve both the efficiency and effectiveness of clinical workflows. He has previously collaborated in project areas such as digital pathology, radiology, audiology and cardiology.
Professor Bradley has published over 160 peer-reviewed articles and is a named inventor on 20 patents awarded in the USA, Japan and Europe. He has supervised more than 25 Research Higher Degree Research and numerous Honours students.
Professional Memberships
- Senior Member IEEE
- Registered Professional Engineer of Queensland (RPEQ)
- Chartered Professional Engineer, Engineering Executive, Engineers Australia
Awards and Fellowships
- Fellow, Engineers Australia (Biomedical Division) FIEAust
- Carrick Institute citation for outstanding contributions to student learning
- Canon Extreme Imaging Award
Professional Social Media
|
Grant/project name |
Investigators |
Funding body and AUD$ value |
Year(s) |
|
Improving outcomes for lung cancer patients: discovering targetable vulnerabilities |
Sutherland, Solomon, Blyth, Tan, Bradley, Waddell, Christie, Lowes |
NHMRC Synergy, $5M |
2021 |
|
Human-Machine Teaming: Designing Synergistic Learning of Humans and Machines |
Brereton, Bradley, Sitbon, Lovell, Favre |
ARC Discovery, $275k |
2020 |
|
Deep Learning For Medical Image Analysis |
Bradley and Fookes |
CSIRO, Maxwell Plus, $275k |
2019 |
|
Airport, Weather and Maritime Navigation Radars as Passive-Radar Illuminators |
Clarkson and Bradley |
Australian Department of Defence, $194k |
2019 |
|
Deep Learning Methods for the Optimal Extraction of Imaging Biomarkers |
Carneiro, Bradley, Palmer and Nascimento |
ARC Discovery, $388k |
2018 |
Research areas
- Biomedical engineering
- Machine learning
- Computer vision and multimedia computation
- Communications engineering
Professor Andrew Bradley's specialist areas of knowledge include machine learning, medical imaging, image processing, computer aided diagnosis, receiver operating characteristic curve, statistical signal processing, medical device design.