Dr Mohammadali Geranmehr (he/him)
School of Mechanical, Aerospace and Civil Engineering
Research Associate
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Pam Liversidge Building
Mappin Street
Sheffield
S1 3JD
- Profile
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Mohammadali Geranmehr is a researcher in civil engineering, specializing in water engineering. He holds bachelor's, master's, and PhD degrees in civil engineering. In his academic journey, Mohammadali focused on numerical models during his master's degree. His doctoral dissertation also centered on the optimal design of water distribution networks (WDNs), considering uncertainties in demand and pipes' roughness.
Throughout his PhD, Mohammadali conducted extensive research, delving into various aspects of WDNs. His investigations encompassed uncertainty analysis, pressure-dependent analysis, sustainability analysis, performance assessment, reliability analysis, quality analysis and sensor placement. He also explored research on optimal design and sustainability assessment of sewer collection systems. In addition, using soft computing methods, including machine learning techniques, meta-heuristic algorithms, and fuzzy theory has always been noticeable in his research.
Complementing his academic pursuits, Mohammadali gained valuable teaching experience as a lecturer. Moreover, Mohammadali possesses practical experience as a civil engineer in consulting firms. He actively participated in significant projects, such as the rehabilitation of water distribution networks and sewer collection systems. He also participated in the implementation of a real-time optimisation model to dynamically manage pressure-reduced valves, ensuring sufficient water pressure.
Mohammadali joined the department in 2021 as a research associate for the project entitled “CBET-EPSRC: Efficient Surrogate Modelling for Sustainable Management of Complex Seawater Intrusion-Impacted Aquifers”, funded by UKRI and US NSF. He is now working as a research associate for the "Managing Background Leakage" project, funded by the UK Water Services Regulation Authority (Ofwat).
- Research interests
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- Optimisation and meta-heuristic algorithms
- Water distribution networks
- Sewer collection systems
- Sustainability and uncertainties
- Coastal aquifers and seawater intrusion
- Publications
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Journal articles
- Optimization of Water Distribution Networks Using a New Entropy-based Mixed Reliability Index and a Fuzzy-based Constraint Handling Technique. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 46(5), 3833-3842.
- Optimal quality sensor placement in water distribution networks under temporal and spatial uncertain contamination. Journal of Water and Wastewater, 31(4), 143-155.
- Uncertainty analysis of water distribution networks using type-2 fuzzy sets and parallel genetic algorithm. Urban Water Journal, 16(3), 193-204.
- Optimization of sewer networks using the mixed-integer linear programming. Urban Water Journal, 14(5), 452-459.
- An Efficient Surrogate-based Multi-objective Optimisation Framework with Novel Sampling Strategy for Sustainable Island Groundwater Management. Advances in Geosciences, 64, 23-26.
- Optimization of Pollutant Discharge Permits, Using the Trading Ratio System: A Case Study. Earth, 3(3), 814-824.
- Pressure Dependent Analysis in Water Distribution Networks Using Particle Swarm Optimization. Journal of Water and Soil Science, 22(3), 43-53.
Chapters
- Application of metaheuristic algorithms in optimal design of sewer collection systems, Comprehensive Metaheuristics (pp. 153-161). Elsevier
- New water resources technologies, Water Resources: Future Perspectives, Challenges, Concepts and Necessities (pp. 1-14). IWA Publishing
Conference proceedings papers
- Fuzzy Uncertainty Analysis of Coastal Aquifer Under Seawater Intrusion. 15th International Conference on Hydroinformatics (pp 473-475), 27 May 2024 - 30 May 2024.
- Sustainable Management of Coastal Aquifers subject to Seawater Intrusion using Reduced-Order Groundwater Flow Models
- Battle of Water Demand Forecasting: An Optimized Deep Learning Model. The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), Vol. 33 (pp 56-56)
Other