| An artificial intelligence approach for optimizing pumping in sewer systems S Ostojin, SR Mounce, JB Boxall Journal of hydroinformatics 13 (3), 295-306, 2011 | 49 | 2011 |
| Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms SR Mounce, W Shepherd, S Ostojin, M Abdel-Aal, ANA Schellart, ... Journal of Hydroinformatics 22 (2), 281-295, 2020 | 25 | 2020 |
| Hydraulic optimisation of multiple flow control locations for the design of local real time control systems M Eulogi, S Ostojin, P Skipworth, JD Shucksmith, A Schellart Urban Water Journal 18 (2), 91-100, 2021 | 16 | 2021 |
| CENTAUR: smart utilisation of wastewater storage capacity to prevent flooding S Ostojin, W Shepherd, K Williams, N Simões, J Steinhardt CIWEM Urban Drainage Group Autumn Conference & Exhibition 2017, 1-8, 2017 | 11 | 2017 |
| CENTAUR: Real time flow control system for flood risk reduction W Shepherd, S Ostojin, S Mounce, P Skipworth, S Tait CIWEM Urban Drainage Group Autumn Conference & Exhibition 2016, 2016 | 11 | 2016 |
| Comparing methods to place adaptive local RTC actuators for spill volume reduction from multiple CSOs M Eulogi, S Ostojin, P Skipworth, S Kroll, JD Shucksmith, A Schellart Journal of Hydroinformatics 24 (1), 78-92, 2022 | 7 | 2022 |
| Optimising a fuzzy logic real-time control system for sewer flooding reduction using a genetic algorithm W Shepherd, S Mounce, S Ostojin, M Abdel-Aal, A Schellart, P Skipworth, ... Computing and Control for the Water Industry 2017, 2017 | 7 | 2017 |
| Optimal positioning of RTC actuators and SuDS for sewer overflow mitigation in urban drainage systems M Eulogi, S Ostojin, P Skipworth, S Kroll, JD Shucksmith, A Schellart Water 14 (23), 3839, 2022 | 5 | 2022 |
| Alleviating the risk of sewer flooding using fuzzy logic in a real time control system–an experimental study M Abdel-Aal, W Shepherd, SR Mounce, S Ostojin, A Schellart, ... 8th International Conference on Sewer Processes and Networks, 2016 | 5 | 2016 |
| Autonomous fuzzy logic control of pumping in sewer systems S Ostojin, S Mounce, D Singerton, J Boxall ICA 2013, 2013 | 4 | 2013 |
| Real time flow control to utilise existing in-sewer storage L Maluf, WJ Shepherd, S Ostojin, N Simões, A Sá Marques, S Mounce, ... Proceeding of 14th IWA/IAHR International Conference on Urban Drainage …, 2017 | 3 | 2017 |
| Developing and testing a fuzzy logic algorithm to alleviate the risk of flooding by controlling a flow control device in a laboratory setting M Abdel-Aal, WJ Shepherd, S Ostojin, S Mounce, J Shucksmith, ... Proceedings of the 14th IWA/IAHR International Conference on Urban Drainage …, 2017 | 3 | 2017 |
| Short-term electrical load forecasting using support vector machines S Ostojin, F Kulić, G Švenda, R Bibić Computers and Simulation in Modern Science. Mathematics and Computers in …, 2008 | 3 | 2008 |
| Operational control of sewer pumping stations to minimize energy costs considering efficiency S Ostojin, SR Mounce, D Singerton, JB Boxall Conference on Computing and Control for the Water Industry, 2011 | 2 | 2011 |
| Artificial intelligence control of pumping in sewer networks S Ostojin University of Sheffield, 2012 | | 2012 |
| Artificial Intelligence for Wastewater Professor Pete Skipworth*^, Dr Sonja Ostojin^ P Skipworth | | |
| ICUD-0448 Real time flow control to utilise existing in-sewer storage L Maluf, W Shepherd, S Ostojin, N Simões, AS Marques, S Mounce, ... | | |
