This project develops algorithmic protocols and computational tools for solving mixed-integer nonlinear optimisation problems; we focus on building effective solution strategies for engineering applications.

Heat exchanger networks reuse excess industrial process heat onsite and thereby improve energy recovery. We consider the resulting mixed-integer nonlinear optimisation problem for designing heat recovery networks.

This project considers robust superstructure design and operation of a bioreactor that produces red blood cells. Although we develop an optimisation model for a specific bioreactor, the intellectual framework may generally apply to bioprocess optimisation.

This project optimises fuel blending for energy systems on a feed-forward network of inputs, intermediate storage, and outputs; we investigate blending petrochemical feeds in a way that maximises profit subject to environmental standards.

Dimension Scheduling Algorithm (DSA) reduces the computational burden of Bayesian optimisation for many experiments. The key to DSA is optimising the fitness function only along a small set of dimensions at each iteration.

This project develops a platform comprising of a mathematical model of the cell cycle, supported by experimental data parameters and validated through independent measurements.

Chronic Lymphocytic Leukaemia (CLL) is a type of peripheral blood and bone marrow cancer. This project proposes mathematical model equations representing the disease dynamics of B-cell CLL.