Dr Don Sharkey

Don Sharkey is an Associate Professor of Neonatal Medicine in Academic Child Health in the School of Medicine. He holds a HEFCE Clinical Senior Lectureship and is an honorary neonatal consultant at Nottingham University Hospitals NHS Trust. Don is a senior member of the Early Life Research group in Academic Child Health.

Don's research expertise is in neonatal and paediatric medicine. His particular focus is the development of healthcare related technologies and how they can improve the outcomes of babies and children. He is Chief Investigator on this project and has already developed a neonatal App for newborn resuscitation which has shown real benefit in clinical studies. He hopes this project could result in a useful system for both the developing and developed newborn settings.

Dr Michel Valstar

Michel Valstar is an Assistant Professor at the School of Computer Science and a researcher in Automatic Visual Understanding of Human Behaviour. He is a member of the Computer Vision Lab and the Mixed Reality Lab. This encompasses Machine Learning, Computer Vision, and a good idea of how people behave in this world. He is the coordinator of the Horizon 2020 ARIA-VALUSPA project building the next generation virtual humans.

Michel's expertise is facial expression recognition, in particular the analysis of FACS Action Units. He recently proposed a new field of research called 'Behaviomedics', which applies affective computing and Social Signal Processing to the field of medicine to help diagnose, monitor, and treat medical conditions that alter expressive behaviour such as depression.

Dr Caroline Henry

Caz Henry is a paediatric doctor and clinical research fellow with an interest in neonatal research. Her research area has focussed on healthcare technology which could improve outcomes for children.

She is really excited about the study positively impacting the health of babies around the world.

Dr Mercedes Torres Torres

Mercedes Torres Torres is a Research Fellow in the Computer Vision Lab at the School of Computer Science.

She completed her PhD in Automatic Image Annotation as part of the Horizon Doctoral Training Centre and the Visual Information Processing Laboratory (VIPLAB). Her research interests include machine learning, particularly ensemble methods such as Random Forests, fine-grained visual categorization, and image analysis and understanding.