From Models to Applications: Data-Driven Solutions for the UK Water Industry

Wednesday, 07 May 2025

14h30-15h30 (Tehran) |11h00-12h00 (GMT) |19h00-20h00 (Beijing)

| Speaker

Ehsan KAZEMI Senior Consultant, Intertek Metoc United Kingdom

| Moderator

Mohammad Javad OSTAD MIRZA TEHRANI Director of Water Matters Laboratory (WML)

| Abstract

The water industry worldwide faces increasing challenges in management, ensuring operational sustainable efficiency, water and infrastructure resilience. This presentation explores how advanced data analytics, numerical modelling, and bespoke software development can transform these challenges into actionable solutions. Drawing from over a decade of experience, Ehsan Kazemi will present case studies that demonstrate the development and application of innovative tools tailored to industry needs. Key highlights include the deployment of predictive models for failure risk in water distribution systems, automated detection of sewer defects, and the integration of GIS-based tools for efficient water quality and environmental management. These efforts not only optimise asset management but also enhance decision-making processes for stakeholders. Emphasising the importance of bridging theoretical models and real world applications, the presentation will discuss the integration of cutting-edge technologies with domain expertise. Attendees will gain insights into practical methodologies, the value of cross-disciplinary collaboration, and the tangible impacts of these solutions on the industry’s evolving landscape. Join us to explore the intersection of science, technology, and application, shaping the future of water management

| Speaker Bio

Ehsan Kazemi is a seasoned civil engineer with over 14 years of expertise in numerical modelling of flow hydrodynamics and seven years of experience applying data analytics to enhance water system resilience. He holds a PhD in Civil Engineering Water Engineering from the University of Sheffield, where he was awarded the prestigious Marie Curie Fellowship. Ehsan specialises in computational fluid dynamics, AI-driven data analysis, and software development, with extensive experience utilising programming languages such as Python, MATLAB, and C# to develop GIS tools and water quality analysis software. Currently a Senior Consultant at Intertek Metoc, and previously as a Research Associate at the University of Sheffield, Ehsan has led multiple projects with the water industry and developed innovative solutions for water infrastructure, including AI-based flood warning systems, urban drainage management models, and water quality assessment tools. His collaborative research spans academia and industry across the UK and EU. An active contributor to his field, he has authored over 15 peer-reviewed journal papers, served as a guest editor, and developed open-source software for water systems resilience