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AidroLab

AI research into resilient and sustainable water management

Urban water systems face growing pressure from climate change and demographics. As a result, water managers count increasingly on digitalization to ensure safe drinking water, adequate sanitation, and effective flood control.

Fast and accurate AI-tools are needed to model the physical processes within water networks and during flooding events. AidroLab believes that the most promising techniques to develop such tools are Graph Neural Networks or GNNs – an extension of deep learning to graph data structures. We are also exploring other AI-applications that can complement our GNN models and provide a thorough AI-based digital twin of (urban) water systems. By bringing together fundamental and applied AI, AidroLab is pushing the boundaries of science, enabling resilient and sustainable urban water systems.

AidroLab is part of the TU Delft AI Labs programme.

The team

Directors

PhD candidates

Associated researchers

Andrea Cavallo

PhD candidate

Associated faculty

Education

Master Projects

MSc Thesis for CEG (Environmental Engineering)

For more proposals, please check your BrightSpace page and the Google Sheet link of the Dispuut Water & Environment (dispuut-we-citg@tudelft.nl | +31(0)15-2784284 | www.dispuutwaterandenvironment.com) or contact us.

Ongoing

  • Optimizing the pump schedule of water distribution systems using a deep learning metamodel (Nikolaos Mertzanis)
  • Distributed Hydrological Modelling using Graph Neural Networks (Peter Nelemans)
  • Modelling dike-breach floods in Dutch dike rings (Sergio Bulte)

Finished

 

MSc Thesis for EEMCS (Intelligent Systems)

For more proposals, please check MSc thesis projects.

Finished

Partners