Norwegian version


AI is a field in computer science that attempts to reproduce traits of human intelligence in machines. Nowadays it has a significant impact in almost all human activities. However, these achievements come with a price.

First, state-of-the-art algorithms in AI demand massive computing power and energy: to handle the ever-increasing Big Data repositories, AI systems must scale in proportion to all the available data. In other words, future AI must be sustainable.

Second, the long-term use of AI systems is also threatened by human factors, above all of them, lack of trust: even achieving super-human performance, AI models are often neglected by humans, due to their lack of transparency on how they generate their predictions. In other words, future AI must be trustworthy.

NordSTAR is a centre of research excellence that aims to establish a new paradigm in the research on sustainable and trustworthy artificial intelligence.

The centre is led by Pedro Lind and Anis Yazidi, and is part of the OsloMet AI Lab and Applied Artificial Intelligence

Watch this video for a full presentation of NordSTAR ( 

The main goal of NordSTAR is to develop AI tools, which embed all key aspects related with trustworthiness and sustainability. To do this the centre has established five research areas:

  • Security, safety and reliability

    This research area will address data security, humans physical safety, and reliability of the communication at the level of AI methods design. Chief Research Scientist Ahmed Elmokashfi started the research area on Security, safety and reliability, and lead the work in this area for a year. 

    Leader of the research area: 

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    Watch this video to learn more about Security, safety and reliability: 

  • Human factors in AI

    They will incorporate the fundamental legal and moral norms underlying social behavior and consider them in the design of Sustainable and Trustworthy AI tools. This research area was initiated by Marija Slavkovik from the University of Bergen (UiB). 

    Elena Parmiggiani from the Norwegian University of Science and Technology (NTNU) leads this research area. Watch this video to learn more about human factors in AI: 

  • Quantum AI

    The aim of this area is to bridge the gap between the growing number of theoretical suggestions on design and application of quantum AI and the present lack of quantitative practical results.

    Leader of the research area: 

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    Watch this video to learn more about quantum AI: 

  • Biologically-inspired computational systems

    They will incorporate fundamental aspects of natural intelligence in AI models, with the motivation of approaching the efficiency of biological neural systems.

    Leader of the research area:

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    Watch this video to learn more about biologically-inspired computational systems: 

  • Understandable and explainable models

    This research area is going to quantify the uncertainty in AI decisions and develop tools for better understanding of the different components of AI models and for explaining why specific AI decisions are obtained.

    Leader of the research area:

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    Watch this video to learn more about understandable and explainable models: 


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Elena Parmiggiani, NTNU. Leader of research area: Human factors in AI. 


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  • Members

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    • Cassandra Grundstrom (, Associate Professor at the Department of Computer Science, NTNU. Part of the human factors research area in NordSTAR. 
    • Michael Riegler (, Chief Research Scientist from SimulaMet, part of the explainable models research area. 
    • Ioannis Adamopoulos, masterstudent at Applied Computer and Information Technology (ACIT)
    • Shailendra Bhandari, masterstudent at Applied Computer and Information Technology (ACIT)
  • Alumni

    • Giorgia Nadizar, former Research Assistant in NordSTAR, currently PhD student at University of Trieste as part of the joint project BioSoftRob (
    • Sebastian Testaniére Overskott, masterstudent at Applied Computer and Information Technology (ACIT). 
    • Sushil Acharya was developing a tool to digitize 7000 ECGs stored in Ahus databases, for posterior analysis with AI tools.
    • Ramesh Upreti closed a survey on security protocols for computer networks.
    • Chief Research Scientist Ahmed Elmokashfi started the research area on Security, safety and reliability, and lead the work in this area for a year. 

Satellite groups

  • Akershus Clinical Research Center (ACR)

    Contact person: Helge Røsjø (

  • Department of Journalism and Media Studies, Faculty of Social Sciences at OsloMet

    At the Department of journalism and media studies, Roy Krøvel coordinates a NordSTAR satellite. Relevant research at the department is connected to illicit financial flows, digital security, fake news, social media, and more.

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  • Oslo University Hospital

    Tor Paaske Utheim coordinates a NordSTAR satellite with the Department of opthalmology ( and the Department of medical biochemistry ( at Oslo University Hospital. 

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  • Material Computing

    Kristine Heiney coordinates a NordSTAR satellite with a focus on material and unconventional computing. Research in this satellite is focused on the fundamental properties of physical systems, including biological, bio-inspired, and quantum systems, that allow them to be exploited for computation.

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  • AI in public administration and in organisations

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News from NordSTAR

Image of dark and heavy clouds lying low over a mountain. Sun over forest and settlement below, but the clouds warn of a change in weather.
OsloMet will use artificial intelligence to warn of extreme climate.

NordSTAR at OsloMet will work on Artificial Intelligence (AI) methods for forecasting and monitoring extreme climate events in the DHEFEUS project.

Image of woman looking out over an urban area with mountains in the background. Clouds in the background and fjord below the mountain where the woman stands.
Large grant for research on autonomous searches

OsloMet researchers have received NOK 11.84 million for research into machine learning inspired by the eyes' search for visual information.

Picture from the second panel debate
What about trustworthiness and sustainability in AI?

On the 3rd of June, NordSTAR invited experts from different fields, with different perspectives of AI, to discuss trustworthiness and sustainability in AI.

Lothar Fritsch introducing the seminar series on the first event. Photo: Pedro G. Lind
Seminar series on privacy and security in AI

In 2022, NordSTAR will run a series of seminars to highlight the role of security and privacy in trustworthy AI.

Gustavo Mello, leader of the AI Lab, talks to a crowd on the SKUP 2022 conference.
NordSTAR and the AI Lab discuss how AI can contribute to journalism

On Friday, the 1st of April, we organised a panel at the SKUP 2022 conference together with the Department of Journalism and Media Studies.

The project members from University of Trieste posing for a group photo. From left: Marco Zullich, Felice Andrea Pellegrino, Giorgia Nadir and Eric Medvet. Photographer: Erica Salvato.
New paper on bio-inspired artificial intelligence and robotics

Merging Pruning and Neuroevolution: towards Robust and Efficient Controllers for Modular Soft Robots

Professor Sergiy Denysov and Professor Pedro Lind unboxing the first Quantum Computer of Norway
Quantum Computing and AI: Why should we care?

Pedro Lind and Sergiy Denysov recently visited the NORA webinar to talk about the ongoing activities within quantum computing in NordSTAR.

Illustration of the 1 billion tweets and retweets that were collected, made by Daniel Thilo Schröder.
New paper in Nature’s Scientific Reports

Professor Pedro Lind and a team of researchers from Simula Research Laboratory recently published a new paper.

The poster from the QuantERA Call 2021 Results. Source:
The newest NordSTAR project in Quantum Computing

The project DQUANT was recently awarded funding.

Photo from the launch of the Quantum Computer. The Quantum Computer is placed next to a screen showing the promovideo of the computer. The text on the screen says "When Norway Went Quantum"
First Norwegian Quantum Computer

The idea of buying the first Quantum Computer in Norway got planted during one of our NordSTAR meetings.

The diploma for the IEEE Brain Best Paper Award Runner Up
Runner-up IEEE Brain award for student paper

We are proud to announce that three of our master students have won the runner up award for IEEE Brain Best Paper.

A group photo of the people in NordSTAR involved in Quantum computing activities. Back row from left: Professor Pedro Lind, Professor Sergiy Denysov, Chief Research Scientist Ahmed Elmokashfi and Professor Stefano Nichele. Front row from left: Shailendra Bhandri, Sebastian Overskott, Heine Aabø, Kristian Wold and Parissa Amin.
Young researchers are joining quantum activities

NordSTAR has a series of research activities in the context of Quantum Computing and Artificial Intelligence.

studio podcast setup. Photographer: Will Francis. Source:
Podcast on entrepreneurship at OsloMet

In this podcast, we have invited two of OsloMets experts on innovation, Ranveig Strøm and George Anthony Giannoumis.

The three master students Jørgen Jensen Farner, Ruben Jahren, and Håkon Weydahl, Kristine Heiney in the front, then postdoc/Assoc. Prof. Ola Huse Ramstad, and Prof. Stefano Nichele.
NordSTAR paper in ICES

A student project from Evolutionary AI and Robotics is set to be presented and published as a conference paper

Andreas Huber, Barbora Hudcová, Heine Aabø, Ioannis Adamopoulos, Ramesh Upreti, Kristian Wold, Sebastian Testanière Overskott, Shailendra Bhandari and Sushil Acharya.
NordSTAR is growing

This semester NordSTAR has welcomed several new members.

Professor Laurence Habib talking with colleague
Professor Laurence Habib on the advisory board of NYILAI

NYILAI is a new AI Lab with the vision to become a leading provider of applied Artificial Intelligence and Computational Mathematics.

poster for the workshop on openness as a resource: accessing new quantum states  with dissipation
Advanced Study Group on Quantum Openness

The Advanced Study Group aim to make a breakthrough in understanding complex quantum systems that are interacting with the world outside.

Laurence Habib talking with colleague
NORA.startup webinar on sustainable AI

On May 21st Laurence Habib attended the NORA.startup webinar to discuss sustainable artificial intelligence, and what we can do to make AI more sustainable.

Picture of the OsloMet logo mounted on the edge of a glass roof on the facade of Pilestredet 35 in Oslo. Blue sky in the background to the left.
Information technology at the top of publishing

The Department of Computer Science had the highest publication number of computer science departments at Norwegian universities in 2020.

picture of Pedro Lind and Anis Yazidi, the scientific directors of NordSTAR.
NordSTAR at the NORA webinar

Pedro Lind and Anis Yazidi, the scientific directors of the Nordic Centre for Sustainable and Trustworthy Artificial Intelligence (NordSTAR), presented the centre at the NORA webinar in February 2021.

Rear view of two computer programmers, a young woman and a young man, discussing at office desk.
How to make AI we can trust

Artificial intelligence offers great promise, but suffers from a trust deficit. Researchers at OsloMet are seeking to make this technology more trustworthy and, ultimately, more sustainable.

Profile picture of Pedro Lancastre, smiling
First Ph.D. in intelligent health

Pedro Lancastre is the first Ph.D. in Intelligent Health at OsloMet, and he will be joining the NordSTAR team.

Stefano Nichele standing in front of the OsloMet campus
Towards a less artificial Artificial Intelligence

Stefano Nichele from OsloMet AI Lab and Nordic Centre for Sustainable and Trustworthy AI (NordSTAR) presented at the NORA webinar.

Picture of a wall at OsloMet with green climbing plants
OsloMet AI Lab granted status of Excellent Academic Environment with NordSTAR

Nordic Centre for Sustainable and Trustworthy AI research (NordSTAR) will be OsloMets high quality academic environment in modern Artificial Intelligence.