Welcome! The Department of Mathematical Modelling, Statistics and Bioinformatics of the Faculty of Bioscience Engineering of Ghent University offers courses
in applied mathematics (mathematics, informatics, probability and statistics, modelling and process control) and services that support innovative applied scientific
research with living matter as the central subject. The department is divided into three research units that have specific expertise in the fields of model based bioprocess analysis and optimisation (BIOMATH),
the principles and practice of the extraction, representation and management of knowledge by means of so-called intelligent techniques (KERMIT) and nonparametric
and multivariate biostatistics (BIOSTAT).
|The mission of BIOMATH is to develop and apply mathematical methods for the analysis, understanding and optimization of bioprocess-related systems. More specifically, quantitative model based methodologies for these biological systems are developed and used to support of a variety of priority areas: industrial biotechnology, environmental biotechnology, wastewater treatment, software development, management of natural water bodies, pharmaceutical systems, and food process technology. These priority areas are reflected in six sub-units that form the basis of the BIOMATH group: Metabolic Modeling and Metabolic Engineering, Biodegradation, Water-sludge Separation, Software Development, Water Quality, and Food Technology.|
|The activities of KERMIT, the research unit "Knowledge-based Systems", are oriented towards the principles and practice of the Extraction, Representation and Management of Knowledge by means of so-called Intelligent Techniques, drawn from the fields of artificial and computational intelligence, operations research and natural computing. KERMIT aims at an optimal blend of fundamental and applied research. Fields of application are varying within the applied bio-sciences.|
The BIOSTAT research unit covers the research and consulting activities of the department that are related to statistics.
Since the research group has its root in the Faculty of bio-engineering sciences, there is a strong relation between the applied research and the consulting activities.
In particular, we often develop new statistical methodology for specific applications in biology, food technology, biotechnology, environmental sciences, etc.
Apart from this more applied research, we are also active in research on more theoretical statistical methods. In particular in nonparametric statistics
(goodness-of-fit, hypothesis testing, regression, etc.)
Dept. of Mathematical Modelling, Statistics and Bioinformatics
Last update: 01 december 2008, email@example.com