Research

Department of Computer Science

Research

Research units

Research units

Motion capture

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.

Colour lab logo

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.

Motherboard baking. Photo

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.

Software, Data, and Digital Ecosystems (SDDE)

Our research group concentrates on the following areas: data, coordination, and
methodology.

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

EU research projects

EU research projects

Our Horizon 2020 (H2020), Erasmus+, and EEA projects
Project Description Framework Contact
LABDA Learning Network for Advanced Behavioural Data Analysis

H2020

2023 -2027

Kerstin Bach
PERCEIVE Perceptive Enhanced Realities of Colored collEctions through AI and Virtual Experiences

H2020

2023 - 2026

Jon Yngve Hardeberg
SLEs STEAM Learning Ecologies H2020
2023 - 2026
Michail Giannakos
ExtenDT2 Extending Design Thinking with Emerging Digital Technologies H2020
2022 – 2026
Sofia Papavlasopoulou
CORDIS Mitigating Diversity Biases of AI in the Labor Market H2020
2022 – 2026
Pinar Øzturk
CrAFt CReating Actionable FuTures

H2020

2022 - 2025

Letizia Jaccheri
Women STEM UP   2022 - 2025
 
Letizia Jaccheri
Surrounded by Science Learning paths towards science proficiency H2020
2021 – 2024

Michail Giannakos

Sofia Papavlasopoulou

EUGAIN European Network For Gender Balance in Informatics COST Action
2020 - 2024
Letizia Jaccheri
e-LADDA Early Language Development in the Digital Age H2020
2019 - 2024
Letizia Jaccheri
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
M9C Mastering 9 Conversations: Helping refugee entrepreneurs extend their network and tell their business story Erasmus+
2020 - 2023
Monica Storvik
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

Norwegian research projects

Norwegian research projects

Research Council of Norway (NFR), the Norwegian Agency for Development Cooperation (Norad) projects, strategical research areas at NTNU, and other Norwegian funded projects
Abbreviation Project Framework Contact
BRU21 Better Resource Utilization NTNU
2018 – 2028
Eric Monteiro
AI-MENT Machine learning to tailor treatments in mental health NTNU Health
2023 - 2027
Kerstin Bach
Digi-FrailCare   NTNU Health
2023 - 2027
Kerstin Bach
SmaRTWork a digital system for personalised return to work recommendations 
for sick-listed with musculoskeletal disorders
NFR
2021 - 2027
Kerstin Bach
SPrINTER   NFR
2022 - 2026
Magnus Själander
CapsNetwork International Network for Capsule Imaging in Endoscopy NFR
2021 – 2026
Marius Pedersen
REAL   NFR
2022 - 2025
Pieter Toussaint
  Desentral utdanning i analyse av helsedata HKDIR
2022 - 2025
Øystein Nytrø
SWELL Sustainable Built Environments for better Health and WELL-being NTNU Sustainability
2022 – 2025
Sobah Abbas Petersen
SustainDiT Sustainable digital transformations NTNU
2021 – 2025
Babak Farshchian
DeepInMotion Explainable artificial intelligent system to discover new infant movement biomarkers for early detection of disease

NFR

2021 – 2025

Heri Ramampiaro
ML4ITS Machine Learning for Irregular Time Series NFR
2021 – 2025
Massimiliano Ruocco
TailorMade Tailoring Server Processors to Application Characteristics for Sustainable Warehouse-Scale Computing NFR
2020 – 2025
Rakesh Kumar
  Physical activity behaviour and sleep NTNU Health
2020 - 2025
Kerstin Bach
PlatVel Plattform for kommunale helse- og velferdstjenester Trd3.0 & IE
2019 – 2025
Babak Farshchian
  Coordination and resource allocation in complex health systems, the case of multimorbid patients NTNU Health
2020 - 2024
Pieter Toussaint
  Data-driven decision aids for Child and Adolescent Mental health in the Health Platform HKDIR
2022 - 2024
Øystein Nytrø
SE-NO-BR Software Engineering Practices and Experiences Exchange between Norway and Brazil DIKU
2021 – 2024
Daniela Soares Cruzes 
AI4Users Responsible Use of Artificial Intelligence through Design for Accountability and Intelligibility NFR
2020 – 2024
Elena Parmiggiani
supportPRIM Optimizing management of musculoskeletal pain disorders in primary care NFR
2020 – 2024
Kerstin Bach
IDDEAS Individualized Digital DEcision Assist System for the diagnosis and management of mental & behavior disorders in children & adolescent NFR
2017 – 2024
Øystein Nytrø
CoSeM Computational Sepsis Mining and Modelling NTNU Health
2018 – 2024
Øystein Nytrø
ICVIO Individual Colour Vision based Image Optimisation NFR
2018 – 2024
Ivar Farup
PaaSforChain Platform as Service Technologies for High-performance Blockchain-based Supply Chain Management Systems NFR
2020 – 2023
Jingyue Li
  Improved Pathology Detection in Wireless Capsule Endoscopy Images through Artificial Intelligence and 3D Reconstruction NFR
2019 – 2023
Marius Pedersen
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
ShuttleNet Scalable Neural Models for Long Sequential Data NFR
2018 – 2023
Zhirong Yang
  Smart Workspace past Covid-19 NFR
2020 – 2023
John Krogstie
MANER Material Appearance Network for Education and Research NFR
2019 – 2023
Jon Yngve Hardeberg

Industry collaboration

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 Artificial Intelligence 2019 – 2023 Arbeidstilsynet
PhD Fellowship x 2 BigData and Machine Learning 2018 – 2023 DNB

Laboratories and centres

Laboratories and centres

National laboratories

SFI and FME centres

Our research centres from 2015–2023.

NTNU research areas

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

Cross disciplinary collaborations

Contact

Contact

Innovation

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

kahoot! logo

Spin-offs from our department

Games

Popular computer games made by former students:

Publications

Publications

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

Infrastructure

Student Entrepreneurship

Student Entrepreneurship

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

Apply for funding by STUD-ENT