Centre for Health Technologies

Our people

Learn about our academic experts, from their research interests to their contact details.

Dr Adriana Wilde PhD

Lecturer

Research interests

  • Safe, inclusive, and secure digital technologies for health to empower people to live independently

Accepting applications from PhD students

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Professor Age Chapman

Professor of Computer Science
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Dr Chengchen Zhang PhD

Lecturer

Research interests

  • Nanomaterials (liquid metals, polymers)-Bio Interactions
  • Smart Sensing Platforms for Disease Diagnosis and Health Monitoring

Accepting applications from PhD students

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Professor Chris Freeman PhD, BEng, BSc, CEng, FIET

Professor

Research interests

  • Iterative learning and repetitive control theory and their experimental application to industrial systems and biomedical engineering
  • Biomechanics 
  • Motor learning and control

Accepting applications from PhD students

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Dr Daniel Spencer

Lecturer
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Gary Wills PhD, CEng, FHEA, MIET

Research interests

  • Internet of Things (IoT),
  • Data Protection,
  • Information Assurance,
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Emeritus Professor George Attard

Research interests

  • the primary focus of my research is on understanding the fundamental properties and behaviour of complex chemical systems;
  • the discovery that certain types of naturally-occuring glycosides, when formulated to produce self-assembled nanoparticles are potent modulators of immune responses;
  • the discovery that lyotropic liquid crystalline phases can be used as templates for the synthesis of nanostructured mesoporous oxides, semiconductors and metals, which led to the foundation of Nanotecture PLC, a University spin-out;
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Professor Harold Chong

Professor of Electronic Engineering
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Emeritus Professor Jeremy Wyatt DM FRCP

Research interests

  •  
  • How to develop trustworthy, effective clinical AI and decision support systemsBuilding libraries of computer-readable clinical knowledge encoded in standard format to support multiple usesThe role of psychology in improving the capture, communication and use of health-related informationMore rigorous evaluation of clinical information systemsMaking better use of routine data using instrumental variable and related methods
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Dr Kate Farrahi

Lecturer

Research interests

  • My research is at the intersection of machine learning and digital health. I am interested in developing machine learning methods for human sensing using vision- and wearable-based technologies.

Accepting applications from PhD students

Connect with Kate