Welcome from the Computational Modelling Group
Welcome to the website of the CoMo Group. We develop and apply modern numerical methods to problems arising in Chemical Engineering. The overall aim is to shorten the development period from research bench to the industrial production stage by providing insight into the underlying physics and supporting the scale-up of processes to industrial level.
The group currently consists of 21 members from various backgrounds. We are keen to collaborate with people from both within industry and academia, so please get in touch if you think you have common interests.
The group's research divides naturally into two inter-related branches. The first of these is research into mathematical methods, which consists of the development of stochastic particle methods, computational fluid dynamics and quantum chemistry. The other branch consists of research into applications, using the methods we have developed in addition to well established techniques. The main application areas are reactive flow, combustion, engine modelling, extraction, nano particle synthesis and dynamics. This research is sponsored on various levels by the UK, EU, and industry.
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We are recruiting!
We are currently looking to appoint three Post-Doctoral Research Associates.
If you are mathematically inclined, good at programming, and any of the following keywords ring a bell, this might be for you:
Semantic Web, Internet of Things, Industry 4.0, Cyber-Physical Systems, ontologies, machine learning, Artificial Intelligence, statistics
For more information on these positions, and how to apply, please use the following links:
The closing date for all positions is 22 October 2017.
2nd prize at the 12th UK Particle Technology Forum
Kok Foong Lee won the second prize of the Young Researcher Award for his presentation 'A multi-compartment population balance model for wet granulation' on 17 September 2014. A total of 40 abstracts were submitted and 6 of them were selected for the Young Researcher Award. Contestants for the Young Researcher Award were required to give a 20-minute oral presentation and the prize winners were judged based on the presentations. Kok Foong's current research interests are in the application of population balance model for wet granulation and the development of stochastic particle methods.