Research at the Department of Computer Science
Research
Research units
Applied Information Technology (AIT)
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.
Colourlab (CL)
The Norwegian Colour and Visual Computing Laboratory was founded to serve the rising needs for colour management solutions in the graphic arts industry.
Computing (COMP)
The research objective of the Computing group is to develop and analyse fundamental technologies that enable the performance-sensitive computer systems and applications of the future.
Data and Artificial Intelligence (DART)
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.
Information Systems and Software Engineering (ISSE)
Our research focuses on empirical information systems, human-computer interaction (HCI), component-based software development, software process improvement, software security, and cooperation technologies.
Intelligent Systems and Analytics (ISA)
Our research group concentrates on leveraging data-driven approaches and advanced methodologies to extract knowledge, optimize processes, and develop complex software systems.
PhD studies
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.
Laboratories and centres
National laboratories
SFI and FME centres
Our research centres from 2015–2023.
- Centre for Exposed Aquaculture Operations (EXPOSED) | Helge Langseth
- Centre for Scalable Data Access in the Oil and Gas Domain (SIRIUS) | Eric Monteiro
- FME-ZEN - Zero-Emission Neighbourhood in Smart Cities | John Krogstie
- Centre for Geophysical Forecasting (CGF) | Anne Elster
- Norwegian Center for Research-Based Artificial Intelligence Innovation (NorwAI) | Jon Atle Gulla
NTNU research areas
- 2018 - 2025 NTNU Digital | John Krogstie
- 2023 - 2027 Center for Sustainable ICT (CESICT) | John Krogstie
Centre for Excellence in Higher Education (SFU)
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.
GEMINI centres
Gemini centres is a formalized collaboration between SINTEF and NTNU.
- 2016 – 2023 BigData | Kjetil Nørvåg
- 2019 – 2023 Digital Transformation Management | Patrick Mikalef
- 2018 – 2026 Software engineering | Torgeir Dingsøyr
- 2021 – 2025 Towards 100 climate-neutral and socially innovative cities | John Krogstie
Strategic research areas at the IE faculty
- Artificial Intelligence | Heri Ramampiaro
- Digital Enterprise | Elena Parmiggiani
- Energy Efficient Computing Systems | Magnus Själander
- Internet of Things |
Cross disciplinary collaborations
Innovation
Research is a key source for innovation. Our research has helped shape technology in ARM, Microsoft, Oracle, and Telenor solutions.
Spin-offs from our department
Games
Popular computer games made by former students: