Salford Business School

Recognised internationally for teaching and research excellence

David Percy

Professor David Percy

  • Maxwell 619
  • T: +44 (0)161 295 4710
  • E: d.f.percy@salford.ac.uk
  • SEEK: Research profile

Office Times

Appointments available on request

Biography

I joined the University of Salford in 1991 and have been a Professor of Mathematics in Salford Business School since 2008. I am Research Convenor for the International Operations and Information Management academic unit, Associate Director of the Centre for Sports Business and a Member of the College Research Ethics Panel. I am a Council Member for the Institute of Mathematics and its Applications, and hold other honorary roles as Finance Committee Member, Conferences Committee Member and North West Branch Chairman.

I have delivered modules and supervised projects for many students at all levels and have served as External Examiner, Programme Leader, Industrial Placements Tutor and Admissions Tutor. I co-chair international conferences on Mathematics in Sport and I organise Mathematical Methods in Reliability research meetings with colleagues from Durham, Strathclyde and Brunel.

Research contracts include sonar analysis for the Defence Evaluation and Research Agency, statistics support for the National Health Service, disease mapping of dengue fever and reliability analysis of vehicle inspection centres for the Malaysian Government, randomness testing for the National Lottery Commission, racing analysis for the International Paralympic Committee, performance analysis of trauma units for Salford Royal Hospital and mathematical consultancy for lawyers.

Teaching

Business Statistics

Probability

Quantitative and Statistical Analysis

Operational Research

Mathematical Statistics

Business Innovation Project

Statistical Analysis for Research

Research Interests

Applications of multivariate analysis, stochastic processes and Bayesian probability to solve problems in reliability, sport and health

Qualifications and Memberships

Bachelor of Science with first class honours in Mathematical Studies (Loughborough)

Diploma in Industrial Studies (Loughborough)

Doctor in Philosophy (Liverpool)

Chartered Mathematician

Fellow of the Institute of Mathematics and its Applications

Chartered Scientist

Publications

Percy DF (2013) Generic handicapping for paralympic sports. IMA Journal of Management Mathematics, 24, 349-361.

Bell SA and Percy DF (2012) Modelling uncertainty in preventive maintenance scheduling. Quality and Reliability Engineering International, 28, 604-615.

Samat NA and Percy DF (2012) Vector borne infectious disease mapping with stochastic difference equations: an analysis of dengue disease in Malaysia. Journal of Applied Statistics, 39, 2029-2046.

Percy DF (2012) The optimal dartboard? Mathematics Today, 48, 268-270.

Perrin RN, Richards JD, Pentreath V and Percy DF (2011) Muscle fatigue in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) and its response to a manual therapeutic approach: A pilot study. International Journal of Osteopathic Medicine, 14, 96-105.

Chadwick EA, Sandiford KJ and Percy DF (2011) Assessing student teams developing mathematical models applied to business and industrial mathematics. MSOR Connections, 11, 22-24.

Kearney JR, Percy DF and Kobbacy KAH (2011) Modelling preventive maintenance as a decay process for a two-state system. Ingenieria y Gestion de Mantenimiento, 74, 20-25.

Percy DF (2011) Prior elicitation: a compromise between idealism and pragmatism. Mathematics Today, 47, 142-147.

Percy DF (2011) Interactive shrinkage methods for class handicapping. IMA Journal of Management Mathematics, 22, 139-156.

Hussain Z, Pickering V, Percy DF, Crane J and Bogg J (2011) An analysis of the experiences of radiography and radiotherapy students who are carers at one UK university. Radiography, 17, 49-54.

Percy DF, Kearney JR and Kobbacy KAH (2010) Hybrid intensity models for repairable systems. IMA Journal of Management Mathematics, 21, 395-406.

Iswaran N and Percy DF (2010) Conflict analysis using Bayesian neural networks and generalized linear models. Journal of the Operational Research Society, 61, 332-341.