Advanced matrix-analytic methods with applications. Over the last twenty-five years, matrix-analytic methods have proved to be very successful in formulating and analysing certain classes of stochastic models. Motivated by applications, this project will investigate more advanced matrix-analytic methods than have hitherto been studied.
Selectivity enhancement in separation science using responsive materials. Increasing public demand for quality products from the chemical, pharmaceutical, biotechnology and food industries requires access to innovative methods of chemical analysis. This project will establish a new class of separation materials of enhanced selectivity and resolving power for the fast, sensitive and reliable analysis of these products.