Our team has strong expertise in numerical modelling, computational mechanics, fluid dynamics, finite element methods and artificial intelligence. We develop advanced numerical models to simulate water flows and the behaviour of hydraulic and civil engineering structures. Our capabilities include modelling of hydraulic networks, pipelines, pumps, reservoirs, tanks, channels and dams, as well as fluid–structure interaction and transient flow phenomena. We can simulate water losses and leakage, optimise water transport and distribution systems, and assess the performance and safety of hydraulic infrastructures. Our expertise also covers the numerical simulation of dam failure, cracking and rupture, seismic loading, flood propagation, debris flows and urban flooding. We are also interested in modelling pollutant transport and dispersion in water systems. By combining physics-based simulations with AI and optimisation algorithms, we aim to develop predictive models, digital twins and decision-support tools for efficient, resilient and sustainable water management.
Topic 1. Integrated Monitoring and Assessment for Sustainable Water Management
Topic 2. Nature-Based Approaches for Resilient Water Management at Hydrological and Hydrogeological System Scale
Topic 3. Smart, Secure and Adaptive Water Infrastructures for Sustainable Water Management
Topic 4. Resilient Water Systems Through Systemic Change, Policy Coherence and Inclusive Governance
Our team is interested in joining a Water4All project addressing sustainable water management, water efficiency, climate resilience and the safety of water infrastructure. We believe that advanced numerical modelling, simulation and AI can significantly contribute to better understanding, predicting and optimising complex water systems. We are particularly interested in contributing to projects focused on reducing water losses, improving hydraulic network performance, predicting leaks and failures, managing water quality and pollutant transport, and assessing flood and dam-related risks. We are also interested in developing digital twins and AI-assisted decision-support tools for water infrastructure. We are looking for interdisciplinary collaborations with universities, research institutes, water utilities, engineering companies and public authorities, where our modelling and simulation expertise can complement experimental, field, environmental and water-management expertise. We are open to contributing to an existing consortium or developing new project ideas together.
sustainable water management, numerical modelling, computational fluid dynamics, hydraulic infrastructure, artificial intelligence, water loss reduction, flood risk, dam safety, pollution transport, digital twins
We are interested in networking with researchers, universities, research centres, water utilities, engineering companies and public authorities working on sustainable water management. We are particularly interested in meeting potential partners at upcoming international conferences and scientific events related to water, hydraulic engineering, numerical modelling, AI and climate resilience. We are available to discuss potential collaborations and joint project ideas.