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Alison Noble

Professor

Alison Noble OBE FRS FREng FIET FWES CEng DPhil (Oxon) MA

Technikos Professor of Biomedical Engineering

Fellow of St Hilda's College

Biography

Professor Noble began her career at the University of Oxford where she obtained a first-class honours degree in Engineering Science (1986) followed by a DPhil (PhD) in Computer Vision (1989). Following PhD graduation, she became a research scientist at the GE Corporate R&D Center, Schenectady NY USA before returning to the University of Oxford Engineering Science faculty in 1995. Appointed a Professor of Engineering Science in 2002, Prof. Noble was the youngest person and jointly the first female to hold that title at that time. Appointed to her current senior position as the Technikos Professor in Biomedical Engineering in 2011 Prof. Noble is also Oxford’s first female Statutory Professor in Engineering. Prof. Noble was the Director of the Institute of Biomedical Engineering from 2012-16 and an Associate Head of the Mathematical, Physical and Life Sciences Division at the University of Oxford, 2016-19. She is currently a Fellow of St Hilda’s College, Oxford and an Honorary Fellow of Oriel College and of St Hugh’s College.

Professor Noble’s research interests sit at the interface of AI with computer vision and clinical medicine. In recent years, her group has been at the forefront of international thinking in how to bring machine learning to ultrasound working closely with clinical research groups in Oxford (particularly the group of Prof. Aris Papageorghiou, Nuffield Department of Women’s & Reproductive Health) and overseas. This includes global health ultrasound applications research with groups in India and Africa, and pioneering research on multi-modal ultrasound and sonography data science. Prof. Noble co-founded Intelligent Ultrasound Ltd to commercial research from her laboratory which was acquired by MedaPhor Group Plc (now called Intelligent Ultrasound Group) in 2017. Her research has attracted international awards and distinctions. Recent awards are: BMVA Distinguished Researchers (2022), Gabor Medal, Royal Society (2019); and the MICCAI Society Enduring Impact Award (2019). She held an ERC Advanced Grant from 2016-2023.

In addition to playing a prominent role in the development of her research field, Professor Noble has held science and engineering leadership roles on national and international bodies.

For instance, she chaired the Royal Society Privacy Enhancing Technologies (PETs) Policy Working Group which published data science policy reports in 2019 and 2023. Prof. Noble co-chairs the Royal Society Data Community of Interest and is a member of the Royal Society Science Policy Committee. She currently chairs the Royal Society Industry Fellowship joint panel.

Professor Noble is a former president of the Medical Image Computing and Computer-Assisted Interventions (MICCAI) Society, the international society in her field. She served as chair of the EPSRC Healthcare Technologies Strategic Advisory Team and is a current member of the EPSRC Science, Engineering and Technology Board. She was a member of REF 2021 Subpanel 12 (Engineering) 2018-22.

Professor Noble is a former Trustee of the Institute of Engineering Technology (IET) 2016-19 and a current Trustee of the Oxford Trust. She is a current Council member and trustee of the Royal Society.

Professor Noble is an ELLIS Fellow, a MICCAI Fellow, and a Fellow of the IET, the Royal Academy of Engineering and of the Royal Society. She received an OBE for services to science and engineering in the Queen's Birthday Honours list in 2013.

Publications

View a list of Professor Noble's publications on Google Scholar, or by using her ORCID ID.

Most Recent Publications

Audio-visual modelling in a clinical setting

Audio-visual modelling in a clinical setting

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

View all

Research Interests

  • Biomedical imaging and image analysis
  • Machine learning applied to healthcare
  • Ultrasound image analysis
  • Point-of-care ultrasound
  • Global health technologies

Professor Noble's collaborators and research partners include:

Other

For more information about Professor Noble’s research see here.

Most Recent Publications

Audio-visual modelling in a clinical setting

Audio-visual modelling in a clinical setting

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

View all

Enquiries from potential postgraduate research students who have interests in any of my research areas are welcome.

Most Recent Publications

Audio-visual modelling in a clinical setting

Audio-visual modelling in a clinical setting

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

Assistive artificial intelligence for enhanced patient access to ultrasound-guided regional anaesthesia.

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

The role of point-of-care ultrasound in the assessment of schistosomiasis-induced liver fibrosis: a systematic scoping review

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

Automating the human action of first-trimester biometry measurement from real-world freehand ultrasound

View all