Killian Gleeson (he/him)
School of Mechanical, Aerospace and Civil Engineering
Postdoctoral Research Associate
Full contact details
School of Mechanical, Aerospace and Civil Engineering
E103
Sir Frederick Mappin Building (Broad Lane Building)
Mappin Street
Sheffield
S1 3JD
- Profile
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In 2023, Killian completed his PhD, part of the EPSRC CDT WIRE and sponsored by Siemens, on investigating what actionable information can be extracted from the deployment of continuous water quality monitors within drinking water distribution systems.
After completion, Killian has continued to develop analytics for drinking water quality sensor data, as part of the OFWAT Innovation Fund project "Water Quality as a Service: Treatment 2 Tap". Killian also holds an MSc in Environmental and Energy Engineering from the University of Sheffield and a BEng in Mechanical Engineering from University College Dublin.
Additionally, Killian spent 4 years working as a data analyst in test engineering before returning to the University of Sheffield to undertake his PhD.
- Qualifications
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MSc in Environmental and Energy Engineering, the University of Sheffield BEng in Mechanical Engineering, University College Dublin
- Research interests
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Digitalisation
Hydroinformatics
Artificial intelligence
Net zero
Digital twins
- Publications
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Journal articles
- Algorithms to mimic human interpretation of turbidity events from drinking water distribution systems. Journal of Hydroinformatics. View this article in WRRO
- A data quality assessment framework for drinking water distribution system water quality time series datasets. Journal of Water Supply: Research and Technology-Aqua. View this article in WRRO
Conference proceedings papers
- Crowd-sourced Turbidity Event Scale for Proactive Management of Drinking Water Quality in Distribution Systems
- Determining the spatio-temporal relationship between water quality monitors in drinking water distribution systems. IOP Conference Series: Earth and Environmental Science, Vol. 1136 (pp 012046). Bucharest, Romania, 4 July 2022 - 4 July 2022. View this article in WRRO
- Algorithms to mimic human interpretation of turbidity events from drinking water distribution systems. Journal of Hydroinformatics. View this article in WRRO
- Research group