Department of Computer Science

Research


Motherboard baking. Photo

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.

ER diagram. Illustration

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.

Agile development. Photo

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.


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.

PhD programme in information technology (IT)

Vacant positions at our department


Research projects

EU projects

Our Horizon 2020 (H2020), and EEA projects
Project Description Framework Contact
ApPEARS Appearance Printing – European Advanced Research School H2020
2019 – 2023
Jon Yngve Hardeberg
Change Cultural Heritage Analysis for New GEnerations H2020
2019 – 2023
Jon Yngve Hardeberg
+CityxChange Positive city exchange is a smart city project H2020
2018 – 2023
Sobah Abbas Petersen
Learn2Analyze An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals’ Competences in Educational Data Analytics  Erasmus +
2018 – 2021
Michail Giannakos
COMnPLAY-Science Learning science the fun and creative way: coding, making, and play as vehicles for informal science learning in the 21st century H2020
2018 – 2021
Michail Giannakos
Back-UP Personalised Prognostic Models to Improve Well-being and Return to Work After Neck and Low Back Pain H2020
2018 – 2020
Kerstin Bach
HiPerNav High performance soft tissue navigation H2020
2017 – 2021
Frank Lindseth & Faouzi Alaya Cheikh
INITIATE INnovation through bIg daTa and socIal enTreprEneurship H2020
2018 – 2020
Letizia Jaccheri
selfBACK A decision support system for self-management of low back pain H2020
2016 – 2020
Agnar Aamodt
CoupledDB High-Performance Indexing for Emerging GPU-Coupled Databases H2020
2017 – 2019
Kjetil Nørvåg
TICOH Taming Irregular Computations On Heterogeneous processors H2020
2017 – 2019
Anne C. Elster
UMI-Sci-Ed Exploiting Ubiquitous Computing, Mobile Computing and the Internet of Things to promote STEM Education H2020
2016 – 2019
Monica Divitini
SOCRATIC SOcial CReATive IntelligenCe Platform for achieving Global Sustainability Goals H2020
2016 – 2019
Letizia Jaccheri
TULIPP Towards Ubiquitous Low-power Image Processing Platforms H2020
2016 – 2019
Magnus Jahre

Norwegian projects

Research Council of Norway (NFR) and the Norwegian Agency for Development Cooperation (Norad) projects
Abbreviation Project Framework Contact
BAMPAM Balancing Compute and Memory Performance in Reconfigurable Accelerators with Analytical Modeling NFR
2018 – 2022
Magnus Jahre
SOCRATES Self-Organizing Computational substRATES NFR
2017 – 2022
Gunnar Tufte
ALerT Awareness Learning Tools for Data Sharing Everywhere NFR
2018 – 2021
Monica Divitini
HAWK Machine Learning Models for the Surveillance of Physical Power Markets NFR
2018 – 2021
Heri Ramampiaro
EarlyWarn Proactive detection and early warning of incipient power system faults NFR
2017 – 2021
Heri Ramampiaro
3DLife Emulating life in 3D with digital and experimental tissue models NFR
2017 – 2021
Pål Sætrom
IDDEAS Individualized Digital DEcision Assist System for the diagnosis and management of mental & behavior disorders in children & adolescent NFR
2017 – 2021
Øystein Nytrø
  Measuring and Understanding Visual Appearance NFR
2016 – 2021
Jon Yngve Hardeberg
CoSeM Computational Sepsis Mining and Modelling NTNU Health
2018 – 2020
Øystein Nytrø
BIGMED A big data medical solution for precision medicine NFR
2016 – 2020
Øystein Nytrø
SoS-Agile Vitenskaplig sikkerhet i smidig utvikling NFR
2015 – 2020
Guttorm Sindre
INTPART International Partnership in Information Technology - IPIT NFR
2017 – 2020
Letizia Jaccheri
CIRCit Circular economy integration in the Nordic industry for enhanced sustainability and competitiveness Nordforsk
2017 – 2020
Jingyue Li
  Anbefalingsteknologi NFR
2015 – 2020
Jon Atle Gulla
IMPALA Machine learning prognosis for system imbalance volumes NFR
2017 – 2019
Heri Ramampiaro
CCSF-Quality Definere nye kromatiske kontrast sensitivitetsfunksjoner for bedre kvalitetsbedømmelse og kvalitetsforbedring NFR
2016 – 2019
Seyed Ali Amirshahi
FUTURE LEARNING​ Orchestrating 21st Century Learning Ecosystems using Analytics​ NFR
2016 – 2019
Michail Giannakos
EduApp4Syria Innovation competition NORAD
2016 – 2019
Alf Inge Wang
IQ-MED Image Quality enhancement in MEDical diagnosis, monitoring and treatment NFR
2015 – 2019
Marius Pedersen
Agile 2.0 Next generation agile development methods NFR
2014 – 2019
Torgeir Dingsøyr
ExiBiDa Exploring New Dimensions in Big Data NFR
2013 – 2019
Kjetil Nørvåg
  Tilgjengelige bygg for alle NFR
2016 – 2019
John Krogstie
Epi++ Programmable epigenetics NFR
2014 – 2019
Pål Sætrom

Industry collaboration

Research in collaboration with the industry
Position Area Period Company
Postdoctoral Fellowship Visual Processing of Geological Structures 2015 – 2019 Schlumberger
Postdoctoral Fellowship Big Data Analytics 2016 – 2019 Telenor
60% FTE COMP research group 2016 – 2018 ARM

National laboratories

SFI and FME centres

Our research centres from 2015–2023.

GEMINI centres

Gemini centres is a formalized collaboration between SINTEF and NTNU.

Strategic research areas at the IE faculty

Strategic research area at the department

Cross disciplinary collaborations


Contact

Gunnar Tufte Gunnar Tufte 
Leader of the Research Committee

 

Publications

Cristin (Current Research Information system) is a nationwide database system for research results and documentation.

PhD thesis archive

Innovation

Research is a key source for innovation. Our research has helped shape technology in ARM, Microsoft, Oracle, and Telenor solutions.

Spin-offs

Games

Popular computer games made by former students: