Our research focuses on the areas of: motion capture and motion analysis, motion capture systems development, VR, applied AI, digital imaging and graphics, learning technologies and innovative learning methods, digital collaboration and business development.
The research group focuses all areas in data, information, knowledge management, and AI. This includes management and retrieval of data and information, logical, probabilistic, and biologically-inspired methods, as well as management, storage and querying of structured data.
Our research focuses on empirical information systems, human-computer interaction (HCI), component-based software development, software process improvement, software security, and cooperation technologies.
Our research group concentrates on leveraging data-driven approaches and advanced methodologies to extract knowledge, optimize processes, and develop complex software systems.
Supervised doctorates are the highest degrees awarded by the University for research. The research is carried out under the immediate supervision of staff members. The education and training provided produce graduates who have the capacity to conduct independent research that is both original and of high international quality.
The SFU initiative represents a focused and long-term effort in order to stimulate the development of education and innovative approaches in higher education at the bachelor and master levels.
The ambition of the initiative is to contribute to the development of excellent quality in higher education and to highlight the fact that teaching and research are equally important activities for universities and university colleges.
The STUD-ENT scheme is Innovation Norway’s national competitive arena in which students, in cooperation with institutions of higher education, may seek financial support for student-driven business ideas within and across different subject fields.
STUD-ENT winners from IDI
Svenn-Helge Vatne and
Simen Nordbø Abelsen