3 Last updated 29 June 2020.

• Dr Ann Smith holds a PhD from the University of Huddersfield, an MSc
  in Applied Statistics (Sheffield Hallam University) and a BSc in
  Mathematics (University of Hull). In addition, she holds a PGCE(FE) and
  is a Fellow of both the Institute of Mathematics and its Applications,
  and the Higher Education Academy.

  As a member of the CEPE research group Dr Smith provides statistical
  expertise to support the group's work on condition monitoring for
  predictive maintenance. Her research interests include input parameter
  volume reduction, non-linear systems approach to detection of
  deviant events, autonomous abnormality assessment, evidence based
  healthcare diagnostics, mathematics education and e-learning

  Dr Smith is a visiting lecturer at Fuzhou Normal University, China and
  also worked at Universitaet Greisfault, Neubrandenburg,
  Germany. Additionally, she worked in collaboration with Calderdale and
  Kirklees Health Authority as statistical consultant to promote
  evidence based health care building on her her MSc thesis on near
  patient testing of blood glucose measurements in primary care which
  informed practice protocol.

• Condition Monitoring-statistical analysis of mechanical systems using vibration signal outputs. Fault detection in reciprocating compressors.
• Modelling System Behaviours.
• Input Volume Reduction Methodologies for Predictive Classifiers.
• Predictive Analytics for Applied Process Monitoring.
• Non-linear Systems Approaches to Detection of Deviant Events.
• Autonomous Abnormality Assessment.
• Mathematical modelling.
• Evidence based health care.
• e-learning and Education of Mathematics.

Click Here to see all postgraduate research opportunities with Dr Ann Smith