The interplay of mathematical modelling with experiments is one of the central elements in
systems biology. The aim of reverse engineering is to infer, analyse and understand …

Chemical engineers who develop fundamental models often have difficulties estimating all
model parameters due to problems with parameter identifiability and estimability. These two …

Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …

Ordinary differential equations (ODEs) are a powerful tool for modeling dynamic processes
with wide applications in a variety of scientific fields. Over the last two decades, ODEs have …

Mathematical description of biological processes such as gene regulatory networks or
signalling pathways by dynamic models utilising ordinary differential equations faces …

Data-driven models based on thermal resistor-capacitor networks (RC models) are useful in
enhancing the energy performance of buildings. This paper presents a simple yet effective …

The assessment of the ignition quality of a wide range of oxygenated hydrocarbons is one
key challenge in the identification of novel molecular entities qualifying as biofuels or biofuel …

In the biopharmaceutical industry, development and characterization of chromatography
processes is typically based on statistical models. Although these approaches are easy to …

This article considers estimation of constant and time-varying coefficients in nonlinear
ordinary differential equation (ODE) models where analytic closed-form solutions are not …

This position paper gives an overview of the discussion that took place at FIPSE 2 at
Aldemar Resort, east of Heraklion, Crete, in June 21–23, 2014. This is the second …