Cambridge Service Alliance
developing new understanding and approaches to complex service systems
Within the Cambridge Service Alliance we have a number of PhD students at any one time. If you are interested in studying for a PhD in the services area then we encourage you to get in touch. Sometimes funding is available, but please note that the application process for PhD's is very competitive. However, we are always looking for good students, so do get in touch if this is of interest to you.
Welcome to the Cambridge Service Alliance…
Members of the Cambridge Service Alliance include BAE Systems, Caterpillar, IBM and the University of Cambridge.
Latest news
Webinar - High-Quality Prediction Intervals for Deep Learning
Jun 11, 201811 June 2018 - High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach - by Tim Pearce, Mohamed Zaki, Alexandra Brintrup, Andy Neely
Theme Update - Blockchains in Smart Services
Jun 06, 2018In May, Veronica and her team worked very hard on the first practical phase of the project – the Codification of the Blockchain Prototype for the CAT/Perkins’ Supply Chain.
Project Update - OMMS: the Wireless Micro-Factory that will Treat People with Cancer
Jun 06, 2018The OMMS micro-factory project lead by Dr Veronica Martinez made a great progress this month.
Find out what the Cambridge Service Alliance have been doing and how you can get involved.
Rare-events classification: An approach based on Genetic Algorithm and Voronoi Tessellation
May 31, 2018by Abdul Rauf Khan, Mohamed Zaki, Henrik Schiøler, and Murat Kulahci. The paper was accepted at 'The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)', a leading international conference in the areas of knowledge discovery and data mining (KDD). In this paper, Mohamed and co-authors propose a novel strategy for data mining based on partitioning of the feature space through Voronoi tessellation and Genetic Algorithm, where the latter is applied to solve a combinatorial optimization problem.
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