Areas of research
At the division for Mathematics, we conduct research within two research groups, Mathematics and Mathematics education, with the corresponding two specialisations in the third-cycle study programme in mathematics. The research group in Mathematics can in turn be divided into two subgroups, for pure and applied mathematics, respectively.
Mathematics is essentially a formal symbolic language that in a logically precise and systematic way describes something either abstractly in itself (pure mathematics) or something from the world we live in (applied mathematics). Some of the areas that are represented within the research group in Mathematics are algebra, combinatorics, analytic number theory, mathematical physics, numerical analysis and optimization. Parts of our research are conducted in collaboration with industry and business.
Mathematics Education can be regarded as a specific application of mathematics in which questions about teaching and learning specific to mathematics are studied. Members of the group focus their research on how mathematical proofs are included and treated in textbooks, issues of mathematical knowledge for teaching, the meaning of mathematical reasoning and designing for interactive teaching in mathematics. The group of Mathematics Education plays an active role within the teacher program and is engage in several research-based school development projects.
The division for Mathematics at Örebro University has in collaboration with Karlstad University, Mid Sweden University and Mälardalen University started a network, NPAA (Network in Pure and Applied Analysis). The purpose is to strengthen the course activities at Master and doctoral level and initiate joint research applications and research projects.
At Örebro University we offer a number of advanced courses that can be taken remotely at Master or doctoral level, wherever you are.
- Johan Andersson
- Andreas Bergwall
- Andrii Dmytryshyn
- Andreas Eckert
- Daniel Edström
- Niklas Eriksen
- Jens Fjelstad
- Mårten Gulliksson
- Malin Hagström
- Yang Liu
- Keizo Matsubara
- Henrik Olsson
- Jakob Palmkvist
- Andreas Ryve
- Holger Schellwat
- Maike Schindler
- Marcus Sundhäll
- Anna Teledahl
- Magnus Ögren
- Sweta Das, PhD student
- Frida Harvey, PhD student
- Anna Sjödahl, PhD student
- Eigenstructures of LOw-RAnk matrix polynomials (ELORA)
- Low-rank methods for systems of Sylvester-type matrix equations
- New algorithms for training artificial neural networks (ANN)
- Nonlinear Schrödinger equations
- Optimization of investment portfolios
- Stochastic simulations of partial differential equations
- Digitally enhanced mathematics education: Lesson modules to support orchestration of mathematical qualities in instruction
- KLÖS - Kollegialt lärande i Örebro Skolor
- Matematiska modeller och parameterestimering inom kromatografi och biosensorer
- Methods for finding sparse solutions to ill-posed inverse problems
- Methods for solving equations using second order dynamical systems
- SKOLFORSK/Att etablera rik matematikundervisning