Mathematical modelling of bioprocesses has a long and notable history, with eminent
contributions from fields including microbiology, ecology, biophysics, chemistry, statistics …

Biochemical processes involving cellular catalysis are usually very difficult to model
accurately essentially due to the inherent complexity of the intracellular phenomena as well …

The present environmental balance has been jeopardised by a scarcity of natural resources
and sometimes harmful human efforts that try to impose authority on them. As a result, water …

Mechanistic and data-driven models have been developed to provide predictive insights into
the design and optimization of engineered bioprocesses. These two modeling strategies can …

This study explores various approaches to formulating a parallel hybrid model (HM) for
Water and Resource Recovery Facilities (WRRFs) merging a mechanistic and a data-driven …

We discuss an important class of problems involving the tracking of prescribed trajectories in
the chemostat model. We provide new tracking results for chemostats with two species and …

Mechanistic models can provide predictive insight into the design and optimization of
engineered biological systems, but the kinetic parameters in these models need to be …

A dynamic simulation model of the Ankara central wastewater treatment plant (ACWTP) was
evaluated for the prediction of effluent COD concentrations. Firstly, a mechanistic model of …

This paper presents a novel method for bioprocess hybrid parametric/nonparametric
modelling based on mixture of experts (ME) and the expectation maximisation (EM) …

Security assessments are cosily and lime consuming and cannot be carried out from scratch
each lime a system is updated or modified This motivates the need for specific methodology …