Currently Martin Sykora is a PhD in Computer Science at the Research School of Informatics, at Loughborough University. His research is concerned with analysis of web 2.0 systems and their uses in practical real world applications for problem solvin
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Currently Martin Sykora is a PhD in Computer Science at the Research School of Informatics, at Loughborough University. His research is concerned with analysis of web 2.0 systems and their uses in practical real world applications for problem solving. The computational analysis of web 2.0 systems is one of his major interests because the datasets and the dynamics of these applications are still very little understood. Yet they hold great promise in a number of domains. Among Martin's other interests are the fields of data mining, text mining, time-series prediction, and information management and information processing. Martin has also spent considerable amount of time on interesting problems in the Financial Markets domain with several published papers at peer reviewed conferences, including a best IEEE PhD student conference paper award at SOFA 2009. Martin has also led tutorials and acted as a part time lecturer for the Computer Science department at Loughborough University, teaching Data Mining and Fundamentals in Programming and Web based JavaScript programming.
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