Research

Department of Computer Science

Research


Research groups

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 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 computer science

Vacant positions at our department


research projects EU

Research projects

EU projects

Our Horizon 2020 (H2020), and EEA projects
Project Description Framework Contact
BOWI Boosting Widening Digital Innovation Hubs H2020
2020 – 2023
Magnus Själander
SpinEngine Harnessing the Emergent Properties of Nanomagnet Ensembles for Massively Parallel Data Analysis 

H2020
2020 – 2023

Magnus Själander
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
LearnML Learn to machine learn  Erasmus+
2019 – 2022
Michail Giannakos
D4FLY Detecting Document frauD and iDentity on the fly H2020
2019 – 2022
Theoharis Theoharis
AI4EU An AI-on-demand platform for Europe H2020
2019 – 2021
Kerstin Bach
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

research projects nfr norwegian

Norwegian projects

Research Council of Norway (NFR) and the Norwegian Agency for Development Cooperation (Norad) projects
Abbreviation Project Framework Contact
BRU21 Better Resource Utilization NTNU
2018 – 2028
Eric Monteiro
supportPRIM Optimizing management of musculoskeletal pain disorders in primary care NFR
2020 – 2024
Kerstin Bach
GentleMAN Gentle and Advanced Robotic Manipulation of 3D Compliant Objects NFR
2019 – 2023
Keith Downing
PoreMIC Computational Microscopy of Porous Materials NFR
2018 – 2023
Anne Elster
Spectraskin Spectral Skin Modelling and Rendering for Realistic Digital Faces NFR
2019 – 2023
Giuseppe Claudio Guarnera
ICVIO Individual Colour Vision based Image Optimisation NFR
2018 – 2023
Ivar Farup
ShuttleNet Scalable Neural Models for Long Sequential Data NFR
2018 – 2023
Zhirong Yang
  Automatisert tilbakemeldings- og instrukssystem for trafikkopplæring personbil NFR
2019 – 2022
Odd Erik Gundersen
IDUN From PhD to Professor NFR
2019 – 2022
Letizia Jaccheri
PlatVel Plattform for kommunale helse- og velferdstjenester Trd3.0 & IE
2019 – 2022
Babak Farshchian
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
  Material Appearance Network for Education and Research NFR
2019 – 2021
Jon Yngve Hardeberg
  Metrological texture analysis for hyperspectral images NFR
2018 – 2021
Hilda Deborah
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
  Å gi formidlingen en kropp - en casestudie av NTNUs kyborgprosjekt NFR
2018 – 2020
 
Gunnar Tufte
VirSam Virtuelle arenaer i medisinsk og helsefaglig utdanning NFR
2017 – 2020
Frank Lindseth
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
FUTURE LEARNING​ Orchestrating 21st Century Learning Ecosystems using Analytics​ NFR
2016 – 2020
Michail Giannakos
EduApp4Syria Innovation competition NORAD
2016 – 2020
Alf Inge Wang
Agile 2.0 Next generation agile development methods NFR
2014 – 2020
Torgeir Dingsøyr
Epi++ Programmable epigenetics NFR
2014 – 2020
Pål Sætrom

Research Projects

Industry collaboration

Research in collaboration with the industry
Position Area Period Company
Adjunct Professorship BigData 2019 – 2024 Equinor
Professorship Artificial Intelligence 2019 – 2024 DNV GL
PhD Fellowship x 2 BigData and Machine Learning 2018 – 2023 DNB
Professorship Artificial Intelligence 2017 – 2022 Telenor
Postdoctoral Fellowship x 2 Artificial Intelligence 2017 – 2022 Telenor
PhD Fellowship x 2 Artificial Intelligence 2017 – 2022 Telenor
60% FTE COMP research group 2016 – 2021 ARM
Postdoctoral Fellowship Visual Processing of Geological Structures 2015 – 2020 Schlumberger

National laboratories

SFI and FME centres

Our research centres from 2015–2023.

Centre for Excellence in Higher Education (SFU)

SFU logo

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.

Strategic research areas at the IE faculty

Strategic research area at the department

Cross disciplinary collaborations


Contact

Contact

Gunnar Tufte Gunnar Tufte 
Leader of the Research Committee

 

Publications

Publications

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

PhD thesis archive

PhD thesis archive

Innovation

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: