Department of Computer and Information Science

Research

Research Groups

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.

Research Projects

EU Projects

Our FP7, Horizon 2020 (H2020), and EEA projects.

H2020, 2016–2020	A decision support system for self-management of low back pain (selfBACK)	Agnar Aamodt
H2020, 2016–2019	Exploiting Ubiquitous Computing, Mobile Computing and the Internet of Things to promote STEM Education (UMI-Sci-Ed)	Monica Divitini
H2020, 2016–2019	SOcial CReATive IntelligenCe Platform for achieving Global Sustainability Goals (SOCRATIC)	Letizia Jaccheri
H2020, 2016–2019	Towards Ubiquitous Low-power Image Processing Platforms (TULIPP)	Magnus Jahre
H2020, 2016–2018	Competitive Advantage for the Data-driven Enterprise (CADENT)	John Krogstie
H2020, 2015–2018	Energy-efficient high-performance exascale computing (READEX)	Magnus Jahre
H2020, 2015–2018	Self-organizing heterogeneous clouds (CloudLightning)	Anne C. Elster
H2020, 2015–2016	Carbon Track and Trace (CTT)	John Krogstie
EEA, 2014–2017	Harvesting big text data for under-resourced languages (HaBiT)	Björn Gambäck
EEA, 2014–2017	Hepatocellular carcinoma stratification based on noninvasive markers (HEPMARK)	Pål Sætrom
FP7, 2014–2016	Automated analysis of massive data streams (AMIDST)	Helge Langseth
FP7, 2013–2017	Impact of climatic and non-climatic factors on oceanic food production (Ocean-Certain)	Pinar Özturk
FP7, 2013–2016	Degradation assessment and restoration and of cultural heritage objects (PRESIOUS)	Theoharis Theoharis

Norwegian Projects

Projects from the Research Council of Norway (NFR), and
the Norwegian Agency for Development Cooperation (Norad).

NFR, 2015–2020	SoS-Agile: Vitenskaplig sikkerhet i smidig utvikling	Pekka Abrahamsson
NFR, 2016–2019	FUTURE LEARNING: Orchestrating 21st Century Learning Ecosystems using Analytics	Michail Giannakos
NORAD, 2016–2019	Innovation competition: EduApp4Syria	Alf Inge Wang
NFR, 2015–2018	Anbefalingsteknologi	Jon Atle Gulla
NFR, 2014–2019	Next generation agile development methods (Agile 2.0)	Torgeir Dingsøyr
NFR, 2014–2017	Programmable epigenetics (Epi++)	Pål Sætrom
NFR, 2013–2018	Exploring New Dimensions in Big Data (ExiBiDa)	Kjetil Nørvåg
NORAD, 2013–2017	Linguistic Capacity Building (NORHED)	Björn Gambäck
NFR, 2013–2017	Agile development of safety-critical software (SUSS)	Tor Stålhane
NFR, 2012–2016	Digital Oil (Doil)	Eric Monteiro
NFR, 2011–2016	National computer games resource network (Join Game 2)	Alf Inge Wang

Industry Collaboration

Research in collaboration with the industry.

2016–2019	Postdoctoral Fellowship (80% position) in Automatic Generation of a Building Information Model (BIM)	Mazemap AS
2015–2019	Postdoctoral Fellowship in Visual Processing of Geological Structures	Schlumberger
2016–2018	Postdoctoral Fellowship (60% position) in the CARD group	ARM
2016–2017	Adjuct Associate Professor in the AI group	Statens vegvesen
2014–2016	Postdoctoral Fellowship in Big Data Analytics	Telenor
2012–2016	PhD Fellowship in Use of a Common Framework for Information Exchange within the Transport Sector	Statens vegvesen

SFI Centres

Our research centres from 2015–2023.

GEMINI Centres

Gemini Centres is a formalized collaboration between SINTEF and NTNU.

Applied Artificial Intelligence | Anders Kofod-Petersen
BigData | Svein Erik Bratsberg
Software engineering | Tor Stålhane
Technology Enhanced Lifelong Learning | Monica Divitini

Strategic Research Areas at the IME faculty

Strategic Research Area at the Department

Multi-source Event Detection (MUSED) | Heri Ramampiaro

Cross Disciplinary Collaborations

NTNU Cyborg | Stefano Nichele

PhD Studies

PhD Student doing measurements 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.