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Last updated 16th March 2023

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.