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Research Group

Digital Health and Biomedical Engineering

Researcher using some biomedical engineering equipment

Our group brings together engineers and computer scientists to discover new approaches to prevent, diagnose and manage health and medical conditions. Our research is end-to-end across digital health from sensors and meditech through to data science, AI and decision systems.

About

Our interdisciplinary research addresses a wide range of topics from fundamental research through to translational patient-centred research and innovation. Examples include:

  • sensors and biosensors
  • control system design and rehabilitation technologies
  • lab-on-a-chip and microfluidics
  • biomedical signal processing and machine learning
  • wearable technology for healthcare
  • digital behavioural interventions
  • autonomous disease management
  • AI and health
  • data trusts for healthcare
  • consent and privacy management

Facilities


Researchers can make use of our dedicated multi-function biocontainment lab, the Centre for Hybrid Biodevices.

People, projects and publications

People

Dr Stefano Modafferi

Principal Enterprise Fellow

Research interests

  • Risk modelling
  • Data-driven business models
  • Enterprise Architectures

Accepting applications from PhD students

Email: s.d.modafferi@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

Dr Stephen Phillips

Principal Enterprise Fellow

Research interests

  • Cyber-security
  • Risk management
  • Secure systems

Email: s.c.phillips@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

Dr Steve Taylor

Principal Enterprise Fellow

Email: s.j.taylor@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

Mr Xiang Wang

Miss Xueping Zou

Mr Yachong Deng

Dr Zehor Belkhatir

Lecturer

Research interests

  • Design of estimation and control techniques, with convergence guarantees, for finite and infinite-dimensional systems;  
  • Robust predictive modelling and analysis of high-dimensional data (e.g., network, time-series, imaging);  
  • The cross-over between artificial intelligence and mathematics for interpretable and robust computational algorithmic designs;  

Accepting applications from PhD students

Email: z.belkhatir@soton.ac.uk

Address: B32, East Highfield Campus, University Road, SO17 1BJ

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