Professor Alistair Forbes, National Physical Laboratory, UK
Alistair Forbes studied mathematics at Aberdeen (BSc, 1977), Newcastle (MSc, 1978) and Pennsylvania (MA, 1984). Since joining NPL in 1985, he has carried out research in mathematical and statistical modelling, algorithm design, uncertainty evaluation, numerical software development and validation and has published over 120 papers and reports on the application of mathematics to metrology. His current research interests include: Bayesian inference, uncertainty evaluation and decision making, sensor networks and data fusion, computational approaches to coordinate metrology and surface assessment. He is an NPL Fellow in Mathematics and Scientific Computing, Visiting Professor of Industrial Mathematics at the University of Huddersfield, Scientific Secretary of IMEKO TC21, Mathematical Tools for Measurement, Chairman, ENBIS Special Interest Group on Measurement Uncertainty, and on the Scientific Programme Committee for international conferences on Advanced Mathematical and Computational Tools for Metrology (co-chair, 2011), Algorithms for Approximation, Laser Metrology and Machine Performance (co-chair, 2009), Measurement Systems and Process Improvement (chair 2010), Design of Industrial Experiments, European Society for Precision Engineering and Nanotechnology International Conference and Exhibition, and Metrology and Properties of Surfaces.