Systems modelling event proves popular
The latest London Technology Network event drew more than 50 industry leaders and researchers to the Institute of Physics for an evening of cutting-edge research and concentrated networking.
The latest London Technology Network event "Modelling complex systems" drew more than 50 industry leaders and top-level researchers to the Institute of Physics, for an evening of cutting-edge research and concentrated networking.
It was the first process engineering event for London Technology Network, which has also presented evenings on life science and ICT themes.
The 10 May event nevertheless attracted delegates from companies such as GlaxoSmithKline, DuPont and Proctor and Gamble, and institutions including Imperial College London, Oxford University and University College London.
Professor David Bogle of University College London chaired the process engineering event, and addressed the vital importance of industry/academic collaborations in capturing technological advances in production processes.
Professor Costas Pantelides of Process Systems Enterprise (and Imperial College London) assessed multi-scale modelling involving the integration of computational field dynamics, analysed different methodologies for multiscale modelling in multitubular chemical reactors and crystallisation equipment.
Dr Guoping Lian of Unilever China spoke on modelling multiphase behaviour for the design of food and cosmetic products - at a microscopic level.
He examined the latest progresses in modelling multiphase problems, and again highlighted the importance of academic collaboration.
Finally, GlaxoSmithKline's Dr David Rudd spoke on developing the implementation of process analytical technology (PAT) in the pharmaceutical industry.
After the presentations the delegates began networking - among 14 displays of the latest technology, on show from a wide range of universities including King's College London, University of Surrey and University College London.
Peter Lee of Imperial College London presented work on multiscale/multiphysics models of the processing chain and in-service performance of metallic components.
The University of Surrey's Chris France showed the latest progress of the Chain Management of Materials and Products (CHAMP) project, and Vivek Dua of UCL presented research on the optimal configuration of artificial neural networks for complexity reduction.
The next London Technology Network will be on 24th May 2006 on "Future technology initiatives for the games: advancements in materials, modelling, surveillance and broadcasting".
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