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My research work is all concerned with the parallelization of algorithms. Some of them are regular, but most of them are irregular, i.e. non-trivially parallelizable. I use my knowledge of modern multi-, many-core and GPU architectures to rethink existing algorithms or create new ones by proposing several levels of parallelization: instructions, cores and many-core accelerators. After working on the creation of parallel algorithms for labelling related components, I have more recently contributed to preference learning and the calculation of fuzzy landscapes.