Prof. Maurice G. Cox
Prof. Cox received a BSc in Applied Mathematics from City University, London, and a PhD in Numerical Analysis (spline functions) also from City University. He worked for several years at the General Electric Company and since 1968 at NPL. He is an NPL Senior Fellow and currently a consultant to NPL where he is concerned with generic approaches to the evaluation of measurement uncertainty and methods for the evaluation of interlaboratory comparison data. He has much experience in applying these approaches to diverse fields.
Since the 1990s a main interest has been measurement uncertainty evaluation. Prof. Cox has made major contributions to Supplements to the Guide to the expression of uncertainty in measurement (GUM) and other related guides through his membership of the Joint Committee for Guides in Metrology (JCGM). He has editorial responsibility for producing a revised version of the GUM. With NPL colleagues he has delivered training courses on measurement uncertainty evaluation for many years in the UK and other countries, and regularly at NPL.
Prof. Cox is Visiting Professor in Computational Mathematics at Kingston University, and chairs a number of national and international committees and working groups, namely, British Standards Committee SS/6 on Precision of Test Methods, and Panel SS/6/-/3 on Measurement Uncertainty, and International Standards Organization ISO/TC 69/SC 6/WG 7 on Statistical methods to support measurement uncertainty evaluation. He also chairs BIPM Director's Advisory Group on Measurement Uncertainty. He is JCGM liaison for ISO/TC 69.
He is a Fellow and founder member of the Institute of Mathematics and its Applications, as well as a Chartered Mathematician and a Fellow of the Royal Statistical Society. He has published more than 200 papers in refereed journals.
His current interests include:
• Mathematical modelling, especially applied to measurement science
• Generic approaches for measurement uncertainty evaluation
• Statistical evaluation of interlaboratory comparison data
• Numerical analysis, especially related to mathematical models in physics, chemistry and biology
• Preparation of International Standards and Guides to support ISO, JCGM, and the Consultative Committees of the CIPM