New Theory and Methods for Multi-Stage Optimisation with Contextual Data. Multi-stage optimisation models are used for solving various complex sequential decision-making problems. This project aims to

Description

New Theory and Methods for Multi-Stage Optimisation with Contextual Data. Multi-stage optimisation models are used for solving various complex sequential decision-making problems. This project aims to develop new theory and methods for incorporating contextual data into multi-stage optimisation, thereby allowing models to utilise numerous data sources for more effective data-driven decision-making. Expected outcomes include foundational theory to guide practical design of new methods, establishment of principled risk management techniques via statistical confidence guarantees, and comprehensive case studies on important applications. This will provide new and improved methodologies for solving important complex problems in energy operations scheduling, disaster risk management, and finance.. Scheme: Discovery Early Career Researcher Award. Field: 4903 - Numerical and Computational Mathematics. Lead: Dr Hung Ho-Nguyen