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

Dr Shelly Vishwakarma PhD

Lecturer

Research interests

  • Designing and developing hardware and software frameworks for contextual sensing applications
  • Concurrent physical activity recognition and indoor localization
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Dr Shengjie Lai PhD

Principal Research Fellow

Research interests

  • Lai is interested in understanding the transmission dynamics and intervention effectiveness for infectious diseases; Quantifying seasonal human mobility, social connectivity and migration using novel data sources, e.g. mobile phone data; Investigating spatiotemporal interactions between human behaviour, environmental change and infectious disease dynamics.

Accepting applications from PhD students

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Dr Shiyang Tang PhD, BEng, FHEA, CEng, MRSC, MIET

Associate Professor

Research interests

  • Liquid metal
  • Intelligent microfluidics
  • Biosensors

Accepting applications from PhD students

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Professor Simon Coles

Professor of Structural Chemistry

Research interests

  • The work we do is highly collaborative and multidisciplinary and can broadly be split into three overlapping themes:
  • 1) National Crystallography Service (NCS, www.ncs.ac.uk) & Physical Sciences Data-science Service (PSDS, www.psds.ac.uk) These national centres provide centralised facilities for UK researchers at a level that is beyond that achievable in any single institution. The NCS provides data collection and crystal structure analysis for the UK chemistry community. It also performs projects based on more advanced techniques, involving a dedicated team of experts employing cutting edge techniques and the use of very high-powered laboratory diffractometers or the UK synchrotron, Diamond. The PSDS provides national-level access to databases and is building infrastructure on top of these to drive and support data-driven approaches to scientific discovery.
  • 2) Structural Chemistry We have an interest in determining the mechanisms of solid-state reactions and transformations and use a variety of diffraction and physical characterisation methods for this. Other work focuses on discovering and investigating structure-property relationships, the determination of charge densities and their properties and 'value-added' quantum mechanical calculations to compute properties from crystal structures. We also collaborate with other disciplines in a number of areas such as macromolecular crystallography (Biology), crystal growth (biology) and CT imaging (Engineering).

Accepting applications from PhD students

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Professor Simon Cox

Head of Department

Research interests

  • My research focusses on computational tools, technologies and platforms and how they enable interdisciplinary problems to be solved in engineering and science.His team in the Computational Engineering and Design Group is applying and developing high performance and cloud computing in a variety of collaborative interdisciplinary computational science and engineering projects. These include:
  • High Performance and novel Computing SystemsCloud Computing and commercial distributed computing - which led to a spin out companyApplied computational algorithms Computational electromagnetics– which led to the formation of a spin-off company.New algorithms such as meshless methods and fast solvers.Data Management Simon is also Director of the Microsoft Institute for High Performance computing where he demonstrates why, where and how current and future Microsoft tools and technologies can be exploited to enable engineering and scientific research to deliver faster, cheaper and better results.
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Dr Sofia Michopoulou PhD

Accepting applications from PhD students

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Professor Sonia Zakrzewski

Prof of Bioarchaeology & BioAnthropology

Research interests

  • bioarchaeology and palaeopathology
  • disAbility, impairment, injury and disease
  • race, migration and mobility

Accepting applications from PhD students

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Dr Srinandan Dasmahapatra

Associate Professor
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Professor Stefan Bleeck

Prof of Hearing Science and Technology

Research interests

  • The aim of my work is to understand how we hear sound and to use this knowledge to create bio-inspired solutions to enhance speech communication.
  • I have continuously worked on various aspects of hearing research and technology and have been principal investigator on various research grants (EU, EPSRCS, etc) with a value of more than £2M. I am team leader with an internationally recognised research programme to develop devices that help normal hearing and hearing-impaired people to communicate better in noise. Methodologies include brainstem physiology, neuronal simulations, deep learing, psychophysics, pupil tracking and other physiological measurements. 

Accepting applications from PhD students

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Dr Stephan Onggo PhD, SFHEA

Professor of Business Analytics

Research interests

  • Simulation Modelling Methodology
  • Behavioural Modelling using Simulation
  • Simulation for real-time decision making (digital twin)

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

Related research institutes, centres and groups

Related research institutes, centres and groups

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