Professor Joby Boxall

Professor of Water Infrastructure Engineering
The University of Sheffield

More info


Joby is a fellow of CIWEM and leads the EPSRC Water Grand Challenges grant Twenty65 (EP/N010124), CI on NDWIF at Sheffield (EP/R010420) and was PI of EPSRC PWG Platform Grant (EP/I029346). His application of artificial intelligence techniques to leak detection is prize winning (Water Industry Achievement award 2010) and is having substantive commercial impact (Flowsure, Servelec technologies Ltd).

Related publications

  1. Speight, V., Mounce, S.R., and Boxall, J.B. (2019) Identification of the Causes of Drinking Water Discoloration from Machine Learning Analysis of Historical Datasets, Environmental Science: Water Research & Technology. DOI: 10.1039/c8ew00733k.
  2. Fox, S., Collins, R.P., and Boxall, J.B. (2018) Derivation and Validation of a Leakage Model for Longitudinal Slits in Polyethylene Pipes, ASCE Journal of Hydraulic Engineering. 10.1061/(ASCE)HY.1943-7900.0001469.
  3. Fox, S., Collins, R.P., and Boxall, J.B. (2016) Physical investigation into the significance of ground conditions on dynamic leakage behaviour, IWA Journal of Water Supply: Research and Technology-AQUA. Vol 65 No 2. pp 103-115 DOI: 10.2166/aqua.2015.079.
  4. Mounce, S.R., Gaffney, J.W., Boult, S, Boxall, J.B. (2015) Automated data-driven approaches to evaluating and interpreting water quality time series data from water distribution systems, ASCE Journal of Water Resources Planning and Management. Vol 141 (11), pp. 1-11. DOI: 10.1061/(ASCE)WR.1943-5452.0000533.
  5. Fox, S., Shepherd, W.J., Collins, R.P. and Boxall J. B. (2015) Experimental quantification of contaminant ingress into a buried leaking pipe during transient events ASCE Journal of Hydraulic Engineering.  DOI: 10.1061/(ASCE)HY.1943-7900.0001040.