HÃ¥kan Sundell
Associate Professor
Computer Science Lab
University of Boras
Sweden
Biography
Håkan Sundell is an associate professor of computer science. His main area of research is efficient (i.e., fast) computations using parallel and distributed and parallel computing systems, where the main contribution is to develop new algorithms or new designs and software architecture. Particularly interesting applications are within advanced data analysis for better understanding of business models and customer behaviour as well as in other scientific analysis where heavy computations are needed. Håkan is the head of the Department of Information Technology and has been employed at the University since 2006. He has a previous background in consulting in the ICT field and also has experience as a self-employed. Håkan is currently active in several research projects, funded by among others the Swedish Foundation for Strategic Research (SSF) and the Knowledge Foundation. He is also the main supervisor for two PhD students.
Research Interest
Business and IT
Publications
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Jansson, K., Sundell, H. and Boström, H. (2014). gpuRF and gpuERT. , pp. 1612-1621.
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Sundell, H., König, R. and Johansson, U. (2015). Pragmatic Approach to Association Rule Learning in Real-World Scenarios.
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Tavara, S., Sundell, H. and Dahlbom, A. (2015). Empirical Study of Time Efficiency and Accuracy of Support Vector Machines Using an Improved Version of PSVM
