Research

Research
at the Department of Computer Science (IDI)

Illustration of Energy Efficient Computing.

Our research addresses challenges ranging from basic research—in artificial intelligence (AI), big data, computer architecture, computer graphics, computer security, databases, human computer interaction (HCI), information systems, operating systems, software engineering, and search–to mention but a few.

Research groups

Research groups

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Algorithms, HPC and Systems

Algorithms, HPC and Systems contributes to cutting edge research related to algorithms, HPC and computing systems, as well as providing high-quality teaching in relevant areas.

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Applied Artifical Intelligence

Applied Artificial Intelligence Autonomous systems that are able to operate independently of human control in unknown and unstructured environments.

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Artificial Intelligence Foundations

Artificial Intelligence Foundations uses a broad range of fundamental AI concepts and tools – from classic approaches involving logic and explicit knowledge representation to data-driven Machine Learning (ML) methods.

Colourlab

Colourlab

Colourlab was founded to serve the rising needs for colour management solutions in the graphic arts industry.

Energy Efficient Computing Systems illustration

Computer Architecture Lab

Computer Architecture Lab focuses on energy efficiency as the key design challenge for future computing systems, ranging from wireless embedded client devices to high-performance computing centers.

VR students

Computing Education

Computing Education focuses on the teaching practice in computing education. Creating innovative IT education, helping students gain necessary competence to work with future challenges like digitalization and sustainability.

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Information Systems

Information Systems focuses on the transformative potential of information and communication technologies (ICTs) and how they may benefit users, organisations, and society in various domains, including both the public and private sectors.

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Intelligent Systems and Analytics

Intelligent Systems and Analytics does interdisciplinary in computer science aiming at creating societal impact by combining competence in system development with analytical expertise, while fostering inclusiveness in research and education.

Software Engineering

Software Engineering

Software Engineering conducts research in a wide range of topics related to planning, development and operation of complex software products and topics which are crucial to the software industry and society as a whole.

Digital Twins illustration

Visual Computing

Visual Computing deals with computer vision (image analysis), computer graphics (image synthesis), and extended reality. Visual Computing is a key driver for artificial intelligence. The group focus on autonomous driving, medical image analysis, digital twins, 3D object retrieval, biometrics and cultural heritage.

 

 


Numbers

16

EU projects

Horizon 2020 (H2020), Erasmus+, and EEA projects

31

Norwegian projects

Projects from the Research Council of Norway (NFR), the Norwegian Agency for Development Cooperation (Norad), and strategical research areas at NTNU.

3

SFI and SFU

Centres, hubs, laboratories and infrastructure at IDI. 

596

Publications

from IDI in 2023


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


Strategic research areas at IE

Strategic research areas at IE

We are part of the following strategic research areas at the IE faculty:

Artificial Intelligence refers to the simulation of human intelligence in machines. AI systems are able to interpret data and decide its further actions based on that interpretation.


Digital Enterprise focuses on generating knowledge on the changes, implications, and consequences of digital technology design and use in organizations, organization ecosystems, the economy, businesses, and the society at large.


Digital Twins are a virtual representations of a physical asset enabled through data and simulators for real-time prediction, monitoring, control and optimization of the asset for improved decision making throughout the life cycle of the asset and beyond.


Energy Efficient Computing Systems (EECS) focuses on energy efficiency as the key design challenge for future computing systems, ranging from wireless embedded client devices to high-performance computing centers.


Internet of Things (IoT) is a network system of devices containing electronics, sensors, software, communications, and actuators, with various combinations of interaction in terms of sensing, communication, computation, and control.


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

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Spin-offs from our department

Games

Popular computer games made by former students:

Contact us

Contact us