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The group Numerical Linear Algebra studies algorithms for complex numerical problems, usually involving computations on very large matrices.
The results of this research are important for applications in engineering and natural science that require computation-intensive numerical problems to be solved. Along with the theoretical work and the exploration of applications in, e.g., systems and control theory, the group also contributes to the further development of standard software libraries, such as LAPACK, ScaLAPACK, and the SLICOT library within the NICONET project.
Algoryx, Infobaleen, Prediktera and Shimmercat are all among the brightest startups within AI in Sweden.
Vu studies the need for only privacy-guarantee and privacy concern analysis in machine learning with big data.
Elastisys is part of a project with novel fog computing technologies for smart water management.
Six PhD students from Umeå participated in the first meeting of WASP-HS humanities and social sciences.
Lars Larsson approaches the cloud resource problem from both cloud providers and customers point of view.