Skip to main content
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.


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


Professor Age Chapman

Professor of Computer Science

Professor Jacek Brodzki

Head of School

Research interests

  • Topological data analysis
  • Applications of topology to medicine, biology, chemistry, physics, computer science
  • Noncommutative Geometry

Accepting applications from PhD students

Professor Mahesan Niranjan

ISIS Chair

Dr Majid Zamani


Research interests

  • Implantable brain-machine interface (iBMI).
  • Hardware-efficient processing frameworks (Implantable and wearable devices).
  • Applied AI in biomedical engineering.

Accepting applications from PhD students

Professor Michael Boniface CEng, FIET

Professorial Fellow in Information Techn

Research interests

  • Artifical intelligence for health systems
  • Human centred interactive systems
  • Federated systems management 

Professor Neil White

Professor in Intelligent Sensor Systems

Research interests

  • Medical sensors
  • Intelligent sensor systemS
  • Energy harvesting

Accepting applications from PhD students

Dr Rujie Sun


Research interests

  • Medical Robotics (Micro/Nano Robotics, Soft Robotics)
  • Flexible Electronics
  • Sensors and Biosensors

Accepting applications from PhD students

Professor Sally Brailsford

Professor of Management Science

Research interests

  • Healthcare modelling
  • Hybrid simulation
  • Behavioural Operational Research
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

Connect with us