Dr Steve Mounce

Research Fellow (PWG)

Address:
Department of Civil and Structural Engineering
Sir Frederick Mappin Building
Mappin Street, Sheffield, S1 3JD

Telephone: +44 (0) 114 222 5750
Fax: +44 (0) 114 222 5700
Email: s.r.mounce@sheffield.ac.uk

Qualifications

PhD Computer Science / Engineering, University of Bradford; MSc Computing, University of Bradford; BSc Special Honours Mathematics, University of Hull.

Profile

Steve Mounce graduated from Hull University in 1992 in Mathematics. He went on to obtain a Masters Degree in Computing at the University of Bradford in 1994 and was awarded a doctorate in Computer Science at the University of Bradford in 2005 (A Hybrid Neural Network Rule-Based System applied to Leak Detection in Water Pipeline Distribution Networks). He joined the Pennine Water Group in 2005. During this period he has worked on a number of research projects:

• EPSRC WaND consortium (researching ontologies and a multimedia portal providing decision support for water management for new housing developments)
• YWS funded ADA project - Researching an automated computing system for the detection and location of leakage in water distribution systems using Artificial Neural Networks (ANNs) and Fuzzy Logic
• EPSRC NEPTUNE project - Delivering sustainable water systems by optimising existing infrastructure via improved knowledge, understanding and technology
• EPSRC Pipe Dreams project - New knowledge, tools and techniques to maximise the performance of existing ageing buried pipe infrastructure

His main research areas are:

• Application of Artificial Intelligence techniques such as ANNs, Fuzzy Logic and Knowledge Based Systems for prediction and pattern recognition applications.
• Applying computer science skills to water engineering research in the areas of leakage detection, sustainability assessment, ontologies and knowledge management.

Activities and Distinctions

• Invited peer reviewer for high quality international journals, including HydroInformatics, American Society of Civil Engineers Water Resources Planning and Management, ICE Water Management, Water Resources Management and Environmental Software and Modelling.
• Winner of the 2010 IWEX University Challenge (Presented at Sustainabilitylive! 2010).

Selected Publications

• Mounce, S. R. and Boxall, J.B (2011) Online Monitoring and Detection in Water Loss, Bentley Systems, Ed. Zheng Wu. ISBN: 978-1-934493-08-3.
• Mounce, S. R., Mounce, R. B., and Boxall, J. (2011) Novelty detection for time series data analysis in water distribution systems using Support Vector Machines. Journal of HydroInformatics. In Press. DOI 10.2166/hydro.2010.144
• Farley B., Mounce, S. R. and Boxall J.B. (2010). Field Testing of an Optimal Sensor Placement Methodology for Event Detection in an Urban Water Distribution Network, Urban Water Journal, Vol. 7, No. 6, December 2010, pp. 345-356. DOI 10.1080/1573062X.2010.526230
• Mounce, S. R. and Boxall, J.B. (2010) Implementation of an on-line Artificial Intelligence District Meter Area flow meter data analysis system for abnormality detection: a case study. Water Science and Technology: Water Supply (IWA), vol. 10, no. 3, pp. 437-444. DOI 10.2166/ws.2010.697
• Mounce, S. R., Boxall, J.B. and Machell, J. (2010) Development and Verification of an Online Artificial Intelligence System for Burst Detection in Water Distribution Systems. ASCE Journal of Water Resources Planning and Management, Vol. 136, No. 3, pp. 309-318. DOI 10.1061/(ASCE)WR.1943-5452.0000030
• Machell, J., Mounce, S. R. & Boxall, J.B. (2010) Online modelling of water distribution systems: a UK case study. Drink. Water Eng. Sci., 3, pp. 21-27. DOI 10.5194/dwes-3-21-2010
• Hurley A. L., Ashley R. M., Mounce, S. R. (2008). Addressing practical problems in sustainability assessment Frameworks. Proceedings of the Institution of Civil Engineers Engineering Sustainability 161, March 2008, Issue ES1, Pages 23–30 doi 10.1680/ensu.2008.161.1.23, Paper 700022.

Grants

• 2007-2011: "Fuzzy logic and ANNs in the Water Industry" funded by Anglian Water. Investigators: JB Boxall and SR Mounce. Value: £90k.
• 2011-2013:  KTP in GA optimised Fuzzy Logic Pumping Station Controller Funded by Anglian Water.  Investigators:  JB Boxall, AJ Saul and SR Mounce.  Value: £130k.

Teaching

• Sessions for CIV 6720, supervision of three PhD students and involved with MSc / BSc projects.