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My research interests broadly span artificial intelligence research: from knowledge representation and reasoning, optimisation, and development of algorithms to explorative data analysis with statistical significance testing and constrained randomisation, combined with applications in wide variety of domains, from analysis of paleontological and ecological data to modelling physics simulations and measurements.
My research broadly fits under the area of artificial intelligence, spanning from constraint-based reasoning to algorithmic data analysis of ecological and biological data, and from explorative data analysis with statistical significance testing to finding subjectively interesting patterns. In particular, I am interested in the combination of data analysis tasks and efficient constraint reasoning and optimization methodology in solving problems in various application domains.
My research broadly fits under the area of artificial intelligence, spanning from constraint-based reasoning to algorithmic data analysis of ecological and biological data, and from explorative data analysis with statistical significance testing to finding subjectively interesting patterns. In particular, I am interested in the combination of data analysis tasks and efficient constraint reasoning and optimization methodology in solving problems in various application domains.
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FRONTIERS IN COMPUTER SCIENCE (2023)
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