Dr. Martin Sykora is a Lecturer (Assistant Professor) in Information Management, at the Centre for Information Management (CIM), School of Business and Economics, at the University of Loughborough (United Kingdom). His main research interests are in the areas of social-media / big-data analytics, micro-blogging, Web 2.0 and digital citizenship, text-mining, semantic web, information management and information retrieval. His PhD was concerned with Web 2.0 and the collective intelligence that emerges from user generated datasets in social media (Thesis tile: A Treatise on Web 2.0 with a Case Study from the Financial Markets). Recently Martin developed an Ontology based system (within the EPSRC / DSTL funded EMOTIVE project), which currently holds the world’s best f-measure for fine grained emotion detection in social-media. This year he has also won a Canadian bid (funded by SSHRC) in the value of £110,408, which will foster collaboration with academics and commercial partners between Canada and Loughborough University over a three year period. The project is looking at using social-media, for mapping and measuring physiological variables geographically, for applications in smart-cities. Martin has also been involved in the REDITES project (in the value of £241,834 – EPSRC / DSTL), developing scalable social-media monitoring and tracking systems. Martin has also been involved in the AI2M project, developing a semantic platform (AI2M project, EPSRC) that can be used throughout the world to aid life-cycle management in manufacturing and related domains, through integrating data using Ontologies and Analytics.
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 a considerable amount of time on interesting problems in the Financial Markets domain with a couple published papers at peer reviewed conferences, including a best IEEE PhD student conference paper award at SOFA 2009. See his personal page or follow him on Twitter.