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
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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Methods and visualization tools for the analysis of medical, political and scientific concepts in Genealogies of Knowledge
In:
Palgrave Communications, vol. 6
DOI: https://doi.org/10.1057/s41599-020-0423-6
Research output: Contribution to Journal › Article (Published) -
Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participants
DOI: https://doi.org/https://doi-org.ezproxy.is.ed.ac.uk/10.1109/EMBC44109.2020.9175596
Research output: Contribution to Conference › Paper (Published) -
A Network-Based Embedding Method for Drug-Target Interaction Prediction
DOI: https://doi.org/10.1109/EMBC44109.2020.9176165
Research output: Contribution to Conference › Paper (Published) -
A Super-bagging Method for Volley Ball Action Recognition using Wearable Sensors
In:
Multimodal Technologies and Interaction
DOI: https://doi.org/10.3390/mti4020033
Research output: Contribution to Journal › Article (Published) -
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods
In:
Computer Speech and Language
DOI: https://doi.org/10.1016/j.csl.2020.101119
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Affective Speech for Alzheimer's Dementia Recognition.
Research output: › Conference contribution (Published) -
Automatic Transformation of a Video Using Multimodal Information for an Engaging Exploration Experience
In:
Applied Sciences, vol. 10
DOI: https://doi.org/10.3390/app10093056
Research output: Contribution to Journal › Article (Published) -
Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech
Research output: Contribution to Conference › Conference contribution (Accepted/In press) -
Predicting Mini-Mental Status Examination Scores through Paralinguistic Acoustic Features of Spontaneous Speech
Research output: Contribution to Conference › Conference contribution (Accepted/In press) -
Automatic Recognition of Low-Back Chronic Pain Level and Protective Movement Behaviour using Physical and Muscle Activity Information
Research output: Contribution to Conference › Conference contribution (Accepted/In press)