Communication and Information Technology Research

Communication and Information Theory

Information technology today has moved a far way from the big mainframe computers of bygone decades. Today, it's distributed and, increasingly, mobile. This presents many challenges: How can we package data such as voice, video, and other content so it is available where need, when needed, and in sufficient quality to be useful? How can we communicate data while maximizing battery life on mobile devices and minimizing their size? How do we deal with the masses of data that these complex networks produce? How can we detect and describe unusual events and phenomena happening on such networks? How can we ensure they are efficiently used - and how do we know when they are? How do we cope with growth in a world where, very soon, many everyday items will be "on the Internet" all the time - from your car to your fridge and more? How do we ensure everyone benefits and nobody is left behind? What fundamental insights can be gained from this?

Communication and information theory aims to find answers to these questions. Information theory is the backbone science behind any form of data communication and is making substantial ongoing contributions to technical progress - the technical advances that led from simple GSM to 3G/UMTS cellphones and MIMO WLAN routers would be unthinkable without it, for example. Our research interest is in providing the right theoretical results and apply them to solve real-world problems. Our research interests range from developing innovative web applications to the monitoring, analysis and improvement of large-scale international networks.



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