Decision-making under Uncertainty for COmplex systems (DUCO) team

Our vision: Bringing uncertainty and systems-thinking into decisions.

We study uncertainty quantification (UQ), reliability and risk assessment and risk-based optimisation for complex systems. To achieve our vision, our research focuses on overcoming current barriers, including high computational costs, memory demands, and validation challenges. By realising the vision, we envision to reduce inefficiencies caused by unmanaged system complexity and enable optimal design of complexity as a source of redundancy and resilience.
We aim to develop general tools applicable across diverse systems and risks. Our interests include, but are not limited to, transport networks, structural systems, energy grids, and process plants, subjected to risks such as earthquakes, floods, wildfires, localised incidents, and deterioration.

Research

Applications