Dr Steve Mounce
BSc, MSc, PhD
School of Mechanical, Aerospace and Civil Engineering
Visiting Research Fellow
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
91̽»¨
S1 3JD
- Profile
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After promotion to Research Fellow in 2011, Dr. Mounce was an investigator on research projects with a total value of £7.5 M, including £1.9 M to the University of 91̽»¨ (£470 k PI and £1.43 M CoI).
Steve has held a Visiting Research Fellow position since 2019 and leads his own micro- company () which was announced in 2024 as one of the Ofwat Discovery Challenge Winners for the ACQUIRE Project, and awarded a share of £4.5 million to demonstrate over the next two years how bold solutions can help solve the biggest challenges facing our society’s water sector.
Steve recently collaborated on a successful application of AI and analytics to real world CSO assets in this University of 91̽»¨ project which was developed in collaboration with Yorkshire Water and Siemens (winning the Outstanding partnership or impact in sustainability and the environment category in the Knowledge Exchange and Impact Awards 2024):
/collaborate/partners/siemens/siemens-gamesa
Steve has a doctorate in Computer Science from the University of Bradford (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 worked on and led a number of research projects including:
- 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
- EU FP7 project - Developing and demonstrating for four European test sites an integrated solution for smart management of water distribution including leakage control, water quality management and energy optimisation (PI)
- EU H2020 CENTAUR project to provide an innovative, cost effective, local autonomous sewer flow control system to reduce urban flood risk (investigator)
- Qualifications
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- PhD Computer Science / Engineering, University of Bradford
- MSc Computing, University of Bradford
- BSc Special Honours Mathematics, University of Hull.
- Research interests
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His main research areas are:
- Application of Artificial Intelligence and machine learning techniques such as Artificial Neural Networks (Design, implementation and training using various architectures including MLP, Kohonen SOM, Time Delay, recurrent, associative and Mixture Density Network), Fuzzy Logic and Knowledge Based Systems for classification, prediction and pattern recognition applications. Experience with other data driven methodologies such as Support Vector Machines, ensemble decision trees and Genetic Algorithms. Latest research interests involve Deep learning, ontologies and knowledge extraction for intelligent agents/ chatbots and blockchain as a service.
- Active in applying computer science skills to water engineering and hydroinformatics research in the areas of leakage (including smart meters), CSO analytics, water quality and burst event detection systems, fuzzy RTC, data mining, case based reasoning, sustainability assessment and knowledge management.
- Professional activities and memberships
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- Invited peer reviewer for high quality international journals, including Water Research, HydroInformatics, American Society of Civil Engineers Water Resources Planning and Management, ICE Water Management, IME Engineering for the Maritime Environment, Water Resources Management, Environmental Software and Modelling, Advances in Water Resources and Environmental Research. Reviewer for the Royal Society, National Science Centers and international PhD external examiner.
- Winner of the 2010 IWEX University Challenge (Presented at Sustainabilitylive! 2010).
- Commercialisation of Artificial Intelligence based automated analysis research software (FlowSure) by Servelec, £100,000 IP assignment deal. (). Nominated for ‘Innovative Technology’ Water Industry Achievement Award 2017 with Welsh Water for application to wastewater network.
- Publications
Dr. Mounce has authored more than 100 journal and conference papers and book chapters (H-index 21 Scopus, 24 Google Scholar). A link to all publications can be found .