Measurement science

We develop new methods for extracting valuable real time information from process analytical tools such as imaging and scattering/backscattering to enable intelligent decision support for monitoring and control of particulate systems and processes.

We're helping develop new, non-invasive measurement methods by constructing mathematical models and performing simulations for the interaction of light with complex fluids, such as dense suspensions or multicomponent mixtures.

A by-product of our research to deploy ultrasound to influence crystal purity and size distribution is expertise in quantification of ultrasound. We have methodologies to deploy hydrophones in organic solvents to make in-process measurements.

Laser imaging of reacting flows applied to emissions reduction from combustion.  Techniques include laser-induced incandescence; laser-induced fluorescence; cavity-enhanced absorption spectroscopy; cavity ring-down spectroscopy.  In situ monitoring of crystallisation by static and dynamic light scattering.

My research develops innovative analytical instrument for process measurement and monitoring. Our industrial-oriented research environment can facilitate prospective partners and researchers, nurturing novel ideas to deliver impacts on chemical process sector.

We're looking at the flow behaviour and rheology of complex materials such as non-Newtonian fluids, soft solids, and particulates. As well as core rheometry measurement facilities, 3D-printing is used to construct bespoke test geometries, pumps and devices.

My research uses quantum density functional calculations to calculate vibrational frequencies, and IR and Raman intensities for molecules in gas phase, adsorbed on surfaces, in solution etc. The calculated frequencies can be compared to experimental spectra, providing insight into chemistry and structure of systems.

We build data analysis workflows for in-line monitoring of crystallisation processes in chemical and pharmaceutical processes and for precision agriculture applications. We use Artificial Intelligence to extract actionable information from multi-sensor setups to inform the development of predictive multiscale models.

We visualise chemical processes at nanoscale with advanced in situ electron microscopy. We also develop correlated measurements, for example by combining X-ray diffraction and gas analysis for establishing structure-property correlations in materials and processes.