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6 from 94 citations 

Last updated 16th March 2023

 

Biography

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.

Research Expertise and Interests

  • 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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 4 - Quality Education
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 14 - Life Below Water
  • SDG 16 - Peace, Justice and Strong Institutions

External positions

MSOR-Connections, peer reviews, Sigma Network

Fellow of the Institute of Mathematics and its Applications.

Fellow of the Higher Education Academy.

Research Expertise and Interests

  • Condition Monitoring-statistical analysis
  • Mechanical systems
  • 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

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