Dr William Furnass
Department of Computer Science
Senior Research Software Engineer
Member of Research Software Engineering Sheffield
w.furnass@sheffield.ac.uk
+44 114 222 1903
+44 114 222 1903
Regent Court (DCS)
Full contact details
Dr William Furnass
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Research interests
-
- HPC
- Python
- Containerisation
- Systems administration
- Reproducible research
- Publications
-
Journal articles
- Delivering computationally-intensive Digital Patient applications to the clinic: an exemplar solution to predict femoral bone strength from CT data. Computer Methods and Programs in Biomedicine, 106200-106200.
- X-ray nano-tomography of complete scales from the ultra-white beetles Lepidiota stigma and Cyphochilus. Scientific Data, 7(1). View this article in WRRO
- Calibrating and validating a combined accumulation and mobilisation model for water distribution system discolouration using particle swarm optimisation. Smart Water, 4. View this article in WRRO
- Liquid–liquid phase separation morphologies in ultra-white beetle scales and a synthetic equivalent. Communications Chemistry, 2(1). View this article in WRRO
- Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments, 3(2). View this article in WRRO
- Multivariate data mining for estimating the rate of discolouration material accumulation in drinking water distribution systems. Journal of Hydroinformatics, 18(1), 96-114. View this article in WRRO
- Modelling both the continual erosion and regeneration of discolouration material in drinking water distribution systems. Water Science and Technology: Water Supply, 14(1), 81-90. View this article in WRRO
- Linking distribution system water quality issues to possible causes via hydraulic pathways. Environmental Modelling & Software, 40, 78-87. View this article in WRRO
Conference proceedings papers
- Multivariate Data Mining for Estimating the Rate of Discoloration Material Accumulation in Drinking Water Systems. Procedia Engineering, Vol. 89 (pp 173-180)
- Controlled, Realistic-scale, Experimental Study of How the Quantity and Erodibility of Discolouration Material Varies with Shear Strength. Procedia Engineering, Vol. 89 (pp 135-142)
- A data-driven methodology for determining the cause of discolouration in distribution networks. 11th Computing and Control in the Water Industry 2011. Exeter
Software / Code
Theses / Dissertations
- Modelling both the continual accumulation and erosion of discolouration material in drinking water distribution systems. University of Sheffield.
Datasets
- Delivering computationally-intensive Digital Patient applications to the clinic: an exemplar solution to predict femoral bone strength from CT data. Computer Methods and Programs in Biomedicine, 106200-106200.