Saturnino Luz
Reader
- Usher Institute
- Edinburgh Medical School: Molecular, Genetic and Population Health Sciences
Contact details
Address
- Street
-
Usher Institute – University of Edinburgh
NINE
9 Little France Road
Edinburgh BioQuarter - City
- Edinburgh
- Post code
- EH16 4UX
Background
Dr Luz works in medical informatics, devising and applying machine learning, signal processing, natural language processing and dimensionality reduction methods in the study of behaviour and communication in healthcare contexts. His main research interest is the computational modelling of behavioural and biological changes caused by neurodegenerative diseases, with focus the analysis of vocal and linguistic signals in Alzheimers's disease. He has also employed these methods in the investigation of interaction in multidisciplinary medical team meetings, doctor-patient consultations, telemedicine and health promotion. Dr Luz leads the Technology and Communication Research Group at the Centre for Dementia Prevention, and a team of researchers working on the Horizon 2020 project SAAM.
Postgraduate teaching
Saturnino is currently recruiting a PhD student and interested to hear from those considering a PhD in any areas relevant to his research.
Open to PhD supervision enquiries?
Yes
Current PhD students supervised
- Sofia de la Fuente Garcia: "Human-Robot Interaction for Dementia Prevention and Research with a Focus on Cognitive Well-Being". MRC Precision Medicine Doctoral Training Programme.
- Pierre Albert: "Interaction Analytics for Automatic Assessment of Communication Quality in Primary Care", MRC Precision Medicine Doctoral Training Programme.
- Minhong Wang: Agent state based modelling of pattern formation in pluripotent stem cells
Research activities
Project activity
- Supporting Active Ageing through Multimodal coaching (SSAM), EU Horizon 2020, Personalised Medicine; 2017-2020, €3,996,400. The SAAM project we focuses upon innovative, technology-enabled approaches to support the aging population living at home, with a novel and practical emphasis on ambient sensing and learning of user needs and preferences, and effective coaching by leveraging the user’s social support networks. Over three years, the project’s partners will develop and test new methods allowing Europe’s aging population to remain active, independent and longer in their homes.
- Interaction Analytics for Automatic Assessment of Communication Quality in Primary Care. Health Research Board, 2016-2019; €313,000. The INCA project investigates technological mechanisms for electronic gathering and automated analysis of physician-patient interaction during medical interviews. It applies state of the art technology in speech processing, text analytics and social signal processing, and investigate the impact of models through which comprehensive, data-intensive communication analysis could be conducted. This interaction analytics research will use routinely collected audio-visual data from consultations between patients and trainee general practitioners.
- Genealogies of Knowledge: Evolution and Contestation of Concepts across Time and Space. AHRC, 2016-2020, £796,000. This project explores how our understanding of central scientific and cultural concepts has evolved since they first emerged. The project draws on a specially constructed electronic corpus of translations and recensions of key texts, both in the humanities and the sciences (with specific emphasis on medicine). Dr Luz leads the Natural Language Processing and Text Visualisation work packages.
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A System for Real-Time Privacy Preserving Data Collection for Ambient Assisted Living
Chapter in Book/Report/Conference proceeding › Conference contribution (Published) -
The successful uptake and sustainability of rapid infectious disease and antimicrobial resistance point-of-care testing requires a complex `mix-and-match' implementation package
(8 pages)
In:
European Journal of Clinical Microbiology & Infectious Diseases, vol. 38, no. 6, pp. 1015-1022
DOI: https://doi.org/10.1007/s10096-019-03492-4
Contribution to journal › Article (Published) -
TeMoCo: A Visualization Tool for Temporal Analysis of Multi-party Dialogues in Clinical Settings
(6 pages)
DOI: https://doi.org/10.1109/CBMS.2019.00140
Chapter in Book/Report/Conference proceeding › Conference contribution (Published) -
Attitude Recognition Using Multi-resolution Cochleagram Features
DOI: https://doi.org/DOI: 10.1109/ICASSP.2019.8682974
Chapter in Book/Report/Conference proceeding › Conference contribution (Published) -
Automated classification of primary care patient safety incident report content and severity using supervised Machine Learning (ML) approaches
In:
Health Informatics Journal
DOI: https://doi.org/10.1177/1460458219833102
Contribution to journal › Article (Published) -
Protocol for a conversation-based analysis study : PREVENT-ED investigates dialogue features that may help predict dementia onset in later life
In:
BMJ Open, vol. 9, no. 3, pp. e026254
DOI: https://doi.org/10.1136/bmjopen-2018-026254
Contribution to journal › Article (Published) -
What matters to people with memory problems, healthy volunteers and health and social care professionals in the context of developing treatment to prevent Alzheimer’s dementia? : A qualitative study
In:
Health Expectations, pp. 1-14
DOI: https://doi.org/10.1111/hex.12876
Contribution to journal › Article (E-pub ahead of print) -
Analysing patterns of right brain-hemisphere activity prior to speech articulation for identification of system-directed speech
In:
Speech Communication, vol. 107
DOI: https://doi.org/10.1016/j.specom.2019.01.001
Contribution to journal › Article (Published) -
A systematic review of Natural Language Processing for classification tasks in the field of incident reporting and adverse event analysis
In:
International journal of medical informatics
DOI: https://doi.org/10.1016/j.ijmedinf.2019.103971
Contribution to journal › Article (E-pub ahead of print) -
Using artificial intelligence to assess clinicians' communication skills
In:
BMJ, vol. 364, pp. l161
DOI: https://doi.org/10.1136/bmj.l161
Contribution to journal › Article (Published)