Newcastle University

Background

Applied Statistician specialising in business, industrial and health statistics.

Roles and Responsibilities

Technical Director of Industrial Statistics Research Unit
Visiting Professor, University of Ljubljana, 2009-2014

Qualifications

PhD "Statistics, computer graphics and morphometry in 3-dimensional reconstruction of serial sections of glomeruli" , Newcastle 1986
MSc Statistics, Newcastle 1981
BSc Mathematical Sciences (1st class), Newcastle 1975

Previous Positions

Associate Professor Wroclaw University of Technology, Poland, 2003
Statistics Lecturer Hong Kong University
Senior Quantitative Analyst, Baring Securities Hong Kong
Senior Engineer, British Gas

Memberships

RSS, IMA, ENBIS

Honours and Awards

C.Stat, C.Sci, MIMA

Languages

French, Cantonese

Research Interests

Statistical modelling, problem solving, data presentation

Other Expertise

Research methods, data mining, customer relations management http://vimeo.com/39778333

Current Work

Applications of statistics in business and industry, data mining methods in utilities, investigating patterns in multivariate data,  Lean Six Sigma, Statistical Process Control, DoE in public services, Kansei Engineering, customer relations management

Future Research

Data mining applications, time series modelling and prediction

Postgraduate Supervision

External examiner for PhD "Statistical methods in Kansei Engineering studies" at University Politecnica de Catalunya, 2011

Visiting Fellow from University of Milano Bicocca studying "Sequence analysis", 2011

Visiting Fellow from University Politecnica de Catalunya studying "Modelling of Utilities data" , 2011

Visiting Professor from Hedmark University College, Norway studying "Variograms", 2010 

Visiting Fellow from University of Palermo studying Kansei Engineering, 2008

PhD "On the relationship between governance and economic growth" completed 2005

Esteem Indicators

Visiting professor, Faculty of Economics, University of Ljubljana;
RSS Statistics User Executive, Quality Improvement Section, Professional Affairs Committee, RSS Obituaries Network of Advisors, Professional Development Centre, Technical Advisory Group of RSS Centre for Statistical Education
ENBIS Council, Chair of ENBIS Academy, Funding Group and UK-ENBIS, Newsletter Editor
Industry Committee of Maths in Education and Industry

Funding

£30,000 statistical support for utilities planning, 2011

£85,000 data mining 2009
£99,044 KTP September 2006

Postgraduate Teaching

NBS8236 Customer Relations Management

• Coleman SY. Six sigma in health care. In: Faltin, F; Kenett, R; Ruggeri, F, ed. Statistical methods in healthcare. Wiley-Blackwell Publishing Ltd, 2012. In Press.
• Monness E, Coleman SY. A short note on Variograms and Correlograms. Norway: Hedmark University College, 2011.
• Antony J, Coleman S, Montgomery D, Anderson M, Silvestrini R. Design of Experiments for Non-Manufacturing Processes: Benefits, Challenges and Some Examples. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2011, 225(11), 2078-2087.
• Coleman SY. Never mind the quality. Public Sector Executive 2009, 8(1), 33.
• Coleman SY. Six Sigma: an opportunity for statistics and for statisticians. Significance 2008, 5(2), 94-96.
• Coleman SY, Greenfield T, Stewardson DS, Montgomery D, ed. Statistical Practice in Business and Industry. Chichester: Wiley, 2008.
• Coleman SY. Kaizen. In: Kenett, R; Ruggeri, F; Faltin, F, ed. Encyclopaedia of Statistics in Quality and Reliability. Oxford, UK: Wiley, 2007, pp.887-890.
• Yi G, Coleman SY, Ren Q. CUSUM Method in predicting regime shifts and its performance in different stock markets. Journal of Applied Statistics 2006, 33(7), 647-661.
• Monness E, Coleman SY. LISREL: An alternative to MANOVA and Principal Components in designed experiments when the response is multidimensional. Quality and Reliability Engineering International 2006, 22(2), 213-224.
• Coleman S, Douglas A. Where next for ISO 9000 companies?. TQM Magazine 2003, 15(2), 88-92.
• Stewardson DJ, Hicks C, Pongcharoen P, Coleman SY, Braiden PM. Overcoming complexity via statistical thinking: optimising genetic algorithms for use in complex scheduling problems via designed experiments. In: Tackling Industrial Complexity: The Ideas That Make a Difference. 2002, Cambridge, UK: University of Cambridge.
• Bruce D, Coleman SY. Improving communication via quantitative management. Journal of Applied Statistics 2001, 28(3-4), 335-341.
• Chambers PRG, Piggott JL, Coleman SY. SPC - a team effort for process improvement across four Area Control Centres. Journal of Applied Statistics 2001, 28(3-4), 307-324.
• Coleman SY, Gordon A, Chambers PR. SPC - making it work for the gas transportation business. Journal of Applied Statistics 2001, 28(3-4), 343-351.
• Coleman SY, Arunakumar G, Foldvary F, Feltham R. SPC as a tool for creating a successful business measurement framework. Journal of Applied Statistics 2001, 28(3-4), 325-334.
• Stewardson D, Coleman S. Using the Summed Rank Cusum for monitoring environmental data from industrial processes. Journal of Applied Statistics 2001, 28(3-4), 469-484.