Research Group

Digital Health

Professor Age Chapman examines some proteomics data analytics

Our researchers are examining and developing information and communication technologies to help address the health problems and challenges faced by patients.

About

With a rising population across the globe, many societies are struggling to meet healthcare demand.   Digital health care interventions are key to tackling this issue and help to enhance the efficiency, delivery and security of services to patients, and supporting care in the community. 

But with so many new digital technologies available and the immediate access to massive data sets how can we harness this information to ensure it makes a real difference to society?  And how do we overcome the challenges of privacy and personal data protection? 

Southampton scientists across medicine and electronics and computer science are combining machine learning,  genome sequencing and other computational methods to develop new digital health interventions to help healthcare professionals and patients to manage illness and promote health and wellbeing.   This includes both hardware and software solutions including using Internet of Things smart devices, wearable devices and monitoring sensors.    

Our teams are also using digital health technologies to analyse already available data sets to establish trends of behaviour and decision patterns with the aim of predicting future healthcare needs as well as examining the role data protection plays in this ever-expanding research field. 

People, projects and publications

People

Professor Ian Clarke

Professor of Virology

Research interests

  • Transposon mutagenesis of Chlamydia species
  • Cell culture systems and replicons for human noroviruses
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Professor Ian Galea MD FRCP PhD

Prof (Clinical & Experimental Neurology)

Research interests

  • Brain haemorrhage: pathophysiology
  • Blood-brain barrier and immune-brain signalling
  • Neuroimmunology

Accepting applications from PhD students

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Professor Ian Sinclair

Professor of Engineering Materials
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Professor Ian Williams

Professor in Applied Environmental Scien

Research interests

  • Waste and Resource Management
  • Carbon management
  • Air Pollution

Accepting applications from PhD students

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Dr Indu Bodala PhD

Lecturer in Computer Science

Research interests

  • Human-Robot Interaction (HRI)
  • Social Robots
  • Affective Computing

Accepting applications from PhD students

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Dr Ingi Iusmen

Associate Professor

Research interests

  • children's rights
  • child migration
  • public policy

Accepting applications from PhD students

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Professor Ingrid Muller BSc, MSc, PhD, CPsychol, FHEA

Professor

Research interests

  • Self-management of long-term conditions
  • Behavioural health interventions
  • Digital health

Accepting applications from PhD students

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Dr Ioannis Zeimpekis

Associate Professor

Accepting applications from PhD students

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Dr Iris Nandhakumar

Associate Professor

Research interests

  • Scanning Probe Microscopy
  • Carbon nanotubes
  • Nanoscale materials

Accepting applications from PhD students

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Professor Ivan Haigh

Professor

Research interests

  • I currently have 8 active research grants (4 as principle investigator (PI)) worth £4.8M. 
  • I am the PI on two international grants that started in 2019, both looking at compound flooding. Compound flooding (when the combination, or successive occurrence of, two or more hazard events leads to an extreme impact e.g., coastal and fluvial flooding), can greatly exacerbate the adverse consequences associated with flooding in coastal regions and yet it remains under-appreciated and poorly understood. In the £788k NERC- and NSF- (US National Science Foundation) funded CHANCE project, I am leading a team (working alongside researchers from the University of Central Florida), to deliver a new integrated approach to make a step-change in our understanding, and prediction of, the source mechanisms driving compound flood events in coastal areas around the North Atlantic basin. In the £575k NERC- and NAFOSTED- (Vietnam’s National Foundation for Science and Technology Development) funded project, I am leading a team that is working with colleagues in Vietnam to map and characterise present, and predict future, flood risk from coastal, fluvial, and surface sources and, uniquely, to assess the risk of compound flooding across the Mekong delta; one of the three most vulnerable deltas in the world. I am also the PI on a grant, which started in 2021. In this 41k project, funded by the Dutch Ministry of Infrastructure and Water Management (Rijkswaterstaat), we are assessing past and future closures of the six storm surge barriers in the Netherlands.
  • In 2021, I was awarded a 3-year (50% of my time) prestigious Knowledge Exchange Fellowship funded by NERC (UK’s Natural Environmental Research Council) and worth £154k. This fellowship builds strongly on my prior research and the overall goal is to provide guidance and tools that will help storm surge barrier operators better prepare for the impacts of climate change across every area of their operation now and into the future. Within the fellowship I am working primary with the UK Environment Agency (EA) and the Dutch Ministry of Infrastructure and Water Management (Rijkswaterstaat). However, to ensure the work undertaken can benefit all the existing (and planned) surge barriers around the world, I am also working closely with I-STORM. I-STORM is an international knowledge sharing network for professionals relating to the management, operation and maintenance of storm surge barriers, and has representation from all the surge barriers worldwide.

Accepting applications from PhD students

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True interdisciplinary research, in which collaborators share the challenges and strengths of different domains is more than just applying one domain’s techniques to another area’s problems. Interdisciplinary research opens up new and exciting research opportunities in both domains by changing the shape of the problem and highlighting why existing approaches are not fit for use.
Professor of Computer Science

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