System Engineering and Applied Mathematics

Systems engineering and applied mathematics covers a wide area of very successful research, represented in the first place by automatic control, information and telecommunication, and applied mathematics, together with some areas of physics. The area is characterized by the development of mathematical and theoretical tools which are applied to systems to improve the efficiency of production, man–machine communication and health, and to ensure secure information processing and interpretation.

The groups active in this area have a high international standard, and an exceptional ability to collaborate within and outside the university. A number of areas of specialization have been developed, based on a common scientific foundation of systems engineering and applied mathematics, which are directed towards various aspects of engineering and society.
• computer technology, software engineering
• computer systems engineering, communication systems, radio communication
• modelling and optimization of images
• statistics and computational techniques
• signals and systems in automation and automatic control

Many large centres of competence and framework programmes are found in this area e.g.:
Centre for Circuit Design (CCCD)
Center for Chemical Process Design and Control (CPDC)
Center for Applied Software Research (LUCAS, with extensive industrial participation)
Personal Computing and Communication (PCC)
Socware (System-on-Chip)
Spatial statistical methods for images, the environment and medicine (SSF)
Vision in Cognitive Systems (VISCOS)
Learning for Adaptable Visual Assistants (LAVA), as well as several projects financed by the Swedish Research Council and industry. Research in this area is supported by about 150 external grants.

The utilization of systems engineering and modelling can also be found in several other areas of research presented below.

A 5-year MSc in Engineering programme in Engineering Mathematics is based on the competence of the research group, but also includes economic and biological modelling. It is anticipated that this programme will increase interest in postgraduate studies.

 

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