John Cartlidge
Professor
School of Computer Science
University of Nottingham Ningbo China
China
Biography
Dr John Cartlidge has a first class BSc (Hons) in Artificial Intelligence & Mathematics (University of Leeds, UK, 2000) and a PhD in Artificial Intelligence (University of Leeds, UK, 2004; supervised by Professor Seth Bullock). After successfully defending his PhD thesis on evolutionary adaptation in competitive computer systems, Dr Cartlidge spent four years in industry working on a variety of commercial research projects. First, as a joint employee of Hewlett Packard Laboratories and the London Stock Exchange, Dr Cartlidge worked with Professor Dave Cliff on the development of multi-agent simulation models of financial markets to study the effects of new technologies on the global equity market environment (2004-2005). Subsequently, after becoming the third member of Ripple, an Irish start-up company offering eBay analytics, Dr Cartlidge developed software to automate and optimize differential pricing strategies for online retailers, using statistical models of individual behaviours to derive market supply and demand (2006). In 2007, in partnership with Dr Steve Phelps, Dr Cartlidge co-founded Victria.net, a software company specialising in electronic auctions and financial trading technologies. Contracts included the successful design and software prototyping of a proprietary dark-liquidity exchange for a London finance firm (2007). In 2008, Dr Cartlidge returned to academia as a Research Associate in Evolutionary Computation and Finance at the University of Central Lancashire, UK, working with Professor Djamel Ait-Boudaoud (2008-2010). In October 2010, Dr Cartlidge became a Research Associate at the University of Bristol, UK, working with Professor Dave Cliff on the development of simulation models of next-generation large-scale cloud data centres for delivery and pricing of cloud computing services (2010-2014). In 2012, Dr Cartlidge founded Electric Lamb Ltd., a software consultancy specialising in financial systems, cloud computing, and Big Data analytics. Contracts have included: expert driver reviews for the Foresight Report on the Future of Computerised Trading in Financial Systems (2012), commissioned by the UK Government’s Office for Science (GO-Science); acting as Expert Witness for the High Court in London, UK, on a high-valued Intellectual Property trial (2012-2014); and acting as Expert Consultant for the Crown Court in London, UK, on an international Computer Fraud trial (2015). In February 2016, Dr Cartlidge was appointed Assistant Professor in Computer Science at the University of Nottingham, based in Ningbo China.
Research Interest
Artificial Intelligence Automated Trading, Auctions and Financial Systems Cloud Computing and Distributed Systems Complex Systems Data Science Evolutionary Computation Machine Learning Multi-agent Modelling and Simulation
Publications
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J. Cartlidge & D. Cliff, (2013), “Comparison of Cloud Middleware Protocols and Subscription Network Topologies using CReST, the Cloud Research Simulation Toolkit,†in Proc. 3rd Int. Conf. Cloud Computing and Services Science (CLOSER-2013). F. Desprez, D. Ferguson, E. Hadar, F. Leymann, M. Jarke & M. Helfert, Eds. Aachen, Germany: SciTePress, May 2013, pp. 58-68. doi:10.5220/0004377500580068 [Available Online]
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J. Cartlidge, & P. Clamp, (2014), “Correcting a financial brokerage model for cloud computing: closing the window of opportunity for commercialisation,†Journal of Cloud Computing: Advances, Systems and Applications, vol. 3, no. 2, pp. 1-20, Apr 2014. doi:10.1186/2192-113X-3-2 [Available Online]
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S. Stotter, J. Cartlidge, & D. Cliff, (2014), “Behavioural investigations of financial trading agents using Exchange Portal (ExPo).†In: N. T. Nguyen, R. Kowalczyk, A. Fred, & F. Joaquim eds. Transactions on Computational Collective Intelligence XVII. Berlin Heidelberg: Springer, pp. 22-45, Nov 2014. doi:10.1007/978-3-662-44994-3_2