Professor Olivier Salvado
Faculty of Engineering,
School of Electrical Engineering & Robotics
Biography
Olivier Salvado joined QUT in 2024 as Professor of AI to establish the AI for Health Research Network, a joint initiative between the Faculty of Engineering and the Faculty of Health. Prof Salvado worked previously at the CSIRO where he held several leadership roles including Team Leader, Group leader of Biomedical Informatics, Head of Computer Vision and Imaging for Data61, and more recently Chief Research Scientist leading the AI for Missions initiative, a $25M+ program to develop next generation AI technologies to support large Missions across the CSIRO in collaboration with external partners.Prof Salvado holds an executive MBA from the University of New South Wales and graduated from the Australian Institute of Company Director. Dr Salvado has published more than 200 peer-reviewed publications, which have attracted more than 15,000 citations. Prof Salvado has been an investigator in close to $50M of competitive funding, including CRC-P, MRFF, ARC, and NHMRC. He regularly contributes to organising international conferences, was the general co-Chair of ISBI 2017, and the program co-chair of ISBI 2023. Prof Salvado is a regular reviewer for scientific journals, conferences, and grants including NHMRC and ARC, and is an associate editor for the Journal of Medical Imaging.
We have a number of PhD scholarships and top-ups available to work on AI methods applied to health. We are seeking primarily students with a strong background in physics and mathematics, python coding skills, and interested in modern machine learning. We have early entry for domestic students (contact me directly). For international students, the next intake is mid 2025. Please see how to apply instruction here .
Personal details
Positions
- Professor in Artificial Intelligence
Faculty of Engineering,
School of Electrical Engineering & Robotics
Keywords
machine learning, MRI, artificial intelligence, medical imaging, computer vision, signal processing, autoencoder, self-supervision
Research field
Artificial intelligence, Machine learning, Biomedical engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD
Professional memberships and associations
IEEE Senior Member, GAICD
Publications
- Lebrat, L., Cruz, R., Dorent, R., Yaksic, J., Pagnozzi, A., Belous, G., Bourgeat, P., Fripp, J., Fookes, C. & Salvado, O. (2023). Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. Proceedings of the 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). https://eprints.qut.edu.au/243892
- Santa Cruz, R., Lebrat, L., Fu, D., Bourgeat, P., Fripp, J., Fookes, C. & Salvado, O. (2022). CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. Medical Image Computing and Computer Assisted Intervention - MICCAI 2022: 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part V, 496–505. https://eprints.qut.edu.au/235625
QUT ePrints
For more publications by Olivier, explore their research in QUT ePrints (our digital repository).
Supervision
Looking for a postgraduate research supervisor?
I am currently accepting research students for Honours, Masters and PhD study.
You can browse existing student topics offered by QUT or propose your own topic.
Current supervisions
- Anomaly Detection using Self-Supervised Learning
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes - Rapid, high quality, clinical grade, 3D surface reconstruction of the human body from consumer-based videos
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes - Uncertainty Quantification and Explainability of Deep Neural Implicit Representations
PhD, Associate Supervisor
Other supervisors: Professor Clinton Fookes
Completed supervisions (Doctorate)
Completed supervisions (Masters by Research)
The supervisions listed above are only a selection.