Applying Mathematics to Industry
recently established centre at the University of Leicester is gearing up to meet
the needs of business and industry through a new outreach programme.
University of Leicester Centre for Mathematical Modelling places mathematical
modelling at the heart of modern technology and industrial processes, by
developing simulation techniques and modelling principles that can be used in a
wide range of applications.
year the Leicester Centre for Mathematical Modelling (MMC) plans a concerted
effort to meet the needs of industry and develop direct links between academic
and industrial research.
mathematical modelling developments are already taken for granted in the modern
office, such as the bezier spline techniques used in CAD software, or the
optimisation software used for cost control and scheduling.
Modern 'digital cameras' use advanced computing methods for tasks from
autofocus adjustment to image processing.
also has its place in areas such as the investigation of volcanoes and road
traffic management, as well as in medical research, where techniques, drugs and
resources can be developed and trialled at a fraction of the cost of laboratory
Biomedical teams use molecular simulations in the design of prostheses
Biochemists are learning how drug molecules work, from aspirin to more
complicated compounds like HIV-inhibitors, using a 'virtual' test tube and
simulating the behaviour of the chemical compound.
Medical scanners used to detect cancers rely on sophisticated mathematics
to produce a 3D picture of tumours and other abnormalities in the body.
NASA’s 'smart probe' for breast cancer diagnosis makes use of neural
networks and intelligent software with advanced physiologic sensors, as do
projects run by MMC scientists helping to screen patients for kidney surgery and
predicting the onset of epileptic seizures.
Ben Leimkuhler, Director of the University of Leicester Centre for Mathematical
Modelling, commented: “Finding good mathematical models, analysing their
properties, and implementing them on a computer is what MMC research is all
MMC provides a knowledge-forum where chemists, biochemists and mathematicians
from academia and industry can come together to fill in different pieces of the
its advanced computing capabilities – a sophisticated shared-memory Silicon
Graphics supercomputer – the MMC has the resource to handle some very
extensive numerical computations.”
Further information is available from Professor Ben Leimkuhler,
University of Leicester Centre for Mathematical Modelling, telephone +44 (0)116
252 3884, email BL12@mcs.le.ac.uk,
or from Dr Ruslan Davidchack, the Centre for Mathematical Modelling’s
Industry Liaison Officer, telephone +44 (0)116 252 3884, email email@example.com
This document has been approved by the head of department or section.