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. 

A medical illustration showing the upper body of a person with the lungs highlighted in orange. The trachea, bronchi and branching airways are visible inside the ribcage.

Transforming chronic respiratory disease care

Groundbreaking sticker could monitor breathing and help save lives.

People, projects and publications

People

Professor Vladimir Jiranek

Professor

Research interests

  • Microbiology of beverage fermentations 
  • Cell-cell interations and filamentous/invasive growth in yeast
  • How has yeast evolved to survive in nature and interact with insects 

Accepting applications from PhD students

Connect with Vladimir

Dr William King

Lecturer in Plant-Microbe Interactions

Research interests

  • Root microbiome
  • Microbial interactions
  • Microbiome manipulation

Accepting applications from PhD students

Connect with William

Dr Xiaohao Cai

Lecturer in Computer Science

Research interests

  • Image/signal/data processing
  • Computer vision
  • Machine learning

Accepting applications from PhD students

Connect with Xiaohao

Professor Xize Niu

Professor of Biosensing&Microengineering

Research interests

  • Microfluidics
  • Lab-on-a-chip
  • Sensors

Accepting applications from PhD students

Connect with Xize

Dr Xu Fang

Lecturer

Research interests

  • Metasurfaces for automotive sensing and healthcare
  • Extreme light manipulation at the nanoscale

Accepting applications from PhD students

Connect with Xu

Dr Xuan Li PhD

Lecturer B-Mechanical Engineering

Research interests

  • Novel miniature ultrasonic surgical device design
  • Ultrasonically assisted machining and manufacturing
  • New generation of piezoelectric materials

Accepting applications from PhD students

Connect with Xuan

Professor Xunli Zhang PhD, DIC, FRSC, CChem, CEng

Professor of Bioengineering

Research interests

  • Microfluidics and Lab-on-a-Chip Technologies
  • Biomedical and Chemical Engineering
  • Nanomaterials

Accepting applications from PhD students

Connect with Xunli

Dr Yanghee Kim

Sr Research Fellow (Anni Fellowship) Med

Accepting applications from PhD students

Connect with Yanghee

Dr Yasmeen Hamza

Lecturer in Audiology
Connect with Yasmeen

Dr Yihua Wang

Associate Professor

Research interests

  • Cell Signalling in Disease
  • Epithelial-Mesenchymal Crosstalk
  • Pulmonary Fibrosis

Accepting applications from PhD students

Connect with Yihua
Age Chapman
Professor of Computer Science
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.

Related research institutes, centres and groups

Connect with us