Mathematics and systems engineering
Mathematics and systems engineering
Many inventions that we currently take for granted are based on mathematical innovations and models. The aim of the research is to develop and strengthen the theoretical mathematics for the future’s need for new advanced and sustainable products.
In the field of mathematics and systems engineering we combine depth of scientific research in mathematics, statistics and physics with a strong applied research in areas such as radar technology, remote sensing, traffic research and health technology. Mathematical modeling is the core of these projects.
Our research projects have funding from e.g. the Knowledge Foundation, the European Union, the Swedish Transport Agency, the Crafoord Foundation, the municipality of Karlshamn and the Royal Swedish Academy of Sciences.
Our research is done in collaboration with for example Saab EDS, RUAG Space Agency, FOI, Netport Science Park AB, Sweco, Blekinge County Council, University of Gothenburg, Linnaeus University, University West, Mälardalen University, Universidade Federal de Santa Catarina (Brazil) and Ufa State Aviation Technical University (Russia).
The research in mathematics and systems engineering is mainly conducted at the Department of Mathematics and Natural Sciences.
• Novel image inversion algorithms based on Doppler measurements for security and climate monitoring
• Methodology for impact assessment of road user charging for heavy vehicles. – A project within the Arena platform
• Tentacle – Capitalising on the TEN-T core network corridors for growth and cohesion.
• One-sided and two-sided nil-ideals in skew group rings.
• Radio occulation inversion methods.
• Modeling and optimization of systems.
One-sided and two-sided nil ideals in skew group rings
This project is included in the research area “Noncommutative Algebra”. Matrix algebras represent some of the most elementary examples of noncommutative algebras and, for a long time, there has been a good understanding of their algebraic structure. Skew group rings comprise a major form of non-commutative algebra that generalises matrix algebras, among other things.
The algebraic structure of skew group rings is not as fully understood. This project, sponsored by the Crafoord Foundation, aims to investigate the incidence of one-sided and two-sided nil ideals in skew group rings.
Contact person: Johan Öinert
Fuzzy Sets and Systems theory (FSS) and Computational Intelligence (CI) in medical and technical applications
Models inspired by FSS and CI are particularly useful in research to provide answers to medical questions. The research can, for example, be used to estimate life expectancy, and to decide on an appropriate type of operation in patients diagnosed with stomach cancer. The most effective medication was also analysed through the application of decision-making algorithms. Parameter types of functions are currently being developed to express several functions from a single formula. This measure should help develop computer programs that can review the credibility of algorithms in major databases.
Contact person: Elisabeth Rakus-Andersson
Lie group analysis
Lie group analysis is a growing area of mathematics with many applications. Ideas about symmetry and invariance, which are at the core of the Lie theory, permeate all mathematical models in natural and engineering sciences. ALGA is an international research centre with the aim of producing new knowledge and increasing understanding of classical and modern group analysis.
Contact person: Nail Ibragimov
Dynamic systems and encryption
We study discrete dynamic systems for various number-theoretical structures, such as the ring of integers and non-Archimedean solids. The focus is to try to identify periodic points and classify them, and thus acquire a better understanding of the dynamics. In addition to the theory of dynamic systems, the work involves algebra, number theory and combinatorics, among other things. This combination of different areas of mathematics inspires us to try to find applications within cryptology and particularly cryptanalysis. We collaborate with researchers at the Linnaeus University in Sweden.
Contact person: Robert Nyqvist
Didactics of mathematics
Mathematical reasoning and gifted education are the two main branches of research within the didactics of mathematics.
Mathematical reasoning is about the mathematical dialogue between pupils and teachers. It includes the understanding of mathematical formula language compared to natural language, mathematical maps as a way for pupils to work in groups to develop a holistic comprehension of their math skills, and logical graphs showing mathematical relationships in a graphic form.
Research in gifted education involves case studies of the study situation for primary school pupils with exceptional mathematical abilities. It also involves studying the implementation of gifted education on math-intensive upper secondary school programmes. The fundamental starting point of the research is the question of what characterises pupils with exceptional abilities in math, and how teaching can be improved to support the development of these pupils’ abilities.
Contact person: Linda Mattsson
Combinatorial optimisation – for parallel computer systems and codes
Mathematical problems occur in many different contexts. One is when you are trying to get a parallel computer to function as efficiently as possible. If you were to solve these mathematical problems, it would mean that you have very clear boundaries for your computer, allowing it to become optimally efficient.
The same applies to coding theory. When we send text messages between one mobile phone to another, the signals are subjected to interference. However, by using efficient codes, the message can be reconstructed to what was originally sent. In order to optimise this process, you need to solve specific mathematical problems.
Contact person: Håkan Lennerstad