Norwegian version

OsloMet Artificial Intelligence Lab

OsloMet AI Lab administers research and student projects in artificial intelligence, both applied and basic research, including theory and the use of machine learning in different areas.

OsloMet Artificial Intelligence Lab (AI Lab) is a joint research centre for OsloMet – Oslo Metropolitan University and SimulaMet ( located in the heart of Oslo. The Department of Computer Science is the host of the centre located in Pilestredet 52 in Oslo.

The Applied Artificial Intelligence research group (AAI) took the initiative to the lab, which has members from many research groups at OsloMet and SimulaMet, and is at the forefront of artificial intelligence in Norway. Al Lab’s partners are

Picture from the lab opening

Digitalisation Minister Nikolai Astrup is introduced to the new lab and the work on artificial intelligence by CEO Gustavo Mello. In the background, Deputy Head and Strategy Coordinator for the lab, Stefano Nichele. Photo: Sonja Balci.

  • Core team

    Lab manager 

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      Head of advisory board

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        Deputy managers

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            Michael Riegler
            Senior Research Scientist

            Maria Normann
            Communication Officer

          • The lab's objectives

            The aims of OsloMet Artificial Intelligence Lab are to

            • conduct ground-breaking research in the field of artificial intelligence
            • educate students and the wider community on AI related subjects
            • attract and develop human talent
            • collaborate closely with the industry and the government
            • foster collaborations on basic and applied research in artificial intelligence
            • host presentations, meetings, conferences, courses and hackatons in the field of artificial intelligence
            • be a center for all artificial intelligence related collaborations inside OsloMet
            • represent OsloMet in Artificial Intelligence related events and communities
            • be a partner for national and international groups and companies working on artificial intelligence.
          • Focus areas

            • 'Autonomous and Adaptive Systems' focuses on robotic systems and the internet of things. Robotic systems include physical robots such as vehicles, drones and other robotic platforms, as well as robotic software such as expert systems and AI-based control systems. Systems based on the internet of things can be applied to a number of different areas. Areas of research:
              • 'Computational intelligence, adaptive systems and real-time analytics'. Researchers: Jianhua Zhang, Anis Yazidi, Hugo Hammer, Michael Riegler
              • 'Autonomous IT and Networking Systems'. Researchers: Evrim Acar Ataman, Ahmed Elmokashfi, Özgü Alay, Hårek Haugerud, Kyrre Begnum, Anis Yazidi, Paal Engelstad, Thanh van Do, Boning Feng.
              • 'Robotics'. Researcher: Alex Alcocer
            • 'Decision Support and Personalized Systems' comprises systems where people use artificial intelligence for decision support, for example in the health services, or to make automatic solutions based on the users’ learning. Areas of research:
              • 'Computational Neuroscience and Neuroengineering'. Researchers: Jianhua Zhang, Peyman Mirtaheri, Tulpesh Patel, Gustavo Mello
              • 'Health Technology'. Researchers: Peyman Mirtaheri, Trine Haugen, Michael Riegler, Pål Halvorsen, Hugo Hammer, Anis Yazidi, Jianhua Zhang. 'Construction and Building Engineering'. Researchers: Vagelis Plevris, Nam Bui
            • 'Machine Learning Models and Optimization' comprises activities at a theoretical level to improve machine learning models and other metamodels for artificial intelligence, and to improve solutions for complex IT systems issues or other complex systems (multi-objective optimization). Areas of research:
              • 'Artificial Life and Complex Systems'. Researchers: Stefano Nichele, Gustavo Mello, Jianhua Zhang.
              • 'Machine Learning Methodology'.  Researchers: Evrim Acar Ataman, Jianhua Zhang, Stefano Nichele, Gustavo Mello, Pedro Lind, Michael Riegler, Hugo Hammer, Anis Yazidi.
              • 'Computer architecture and hardware'. Researchers: Pål Halvorsen, Michael Riegler.
              • 'Quantum Computing'.  Researchers: Sergiy Denysov, Sølve Selstø, Leiv Øyehaug, Simen Bræck.
              • 'Ethics and responsible research and innovation'. Researchers: Anders Braarud Hanssen, Tale Skjølsvik, Joachim Breunig, Mads Gjefsen, Knut Vie, Anthony Giannoumis.
          • Associated research groups and independent members

            OsloMet Artificial Intelligence Lab consists of members from the following research groups and labs:

            Other researchers affiliated to the lab, but not mentioned in the research groups, are...

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                        Please contact us if you would like to join us.


                      • Address and contact information

                        Office address

                        OsloMet – Oslo Metropolitan University, Oslo, Norway
                        Pilestredet 52, third floor, entrance A.

                        Map: Google Maps, 52 Pilestredet

                        Contacts for the media and scientific cooperation – see core members above.

                      NordSTAR paper in ICES

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

                      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.
                      New centre aims to prepare future professionals for the digital world

                      PACT is a new centre at OsloMet that will promote a new type of education where all students develop an understanding of how technology interacts with their future profession and with society.

                      A class learning digital technologies. Photo: Unsplash
                      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 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.
                      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.

                      Laurence Habib talking with colleague
                      Technology cooperation with the Czech Republic

                      OsloMet is initiating a collaboration with the University of Hradec Králové in the Czech Republic on commercialisation of technological research.

                      The photo shows a smiling girl outdoors on campus of the Czech university University of Hradec Králové, holding a flag with the university logo together with a Norwegian flag.
                      Meet AI Labs Marie Curie fellow candidate

                      Every year the Marie Sklodowska-Curie Actions (MSCA) awards talented scholars with individual grants. Through this initiative, the AI Lab is proud to introduce our new research fellow candidate through the MSCA, Ansis Ataols Bērziņš.

                      Ansis Ataols Bērziņš speaking at a conference
                      A mathematical "quiz" solved for data science

                      Pedro Lind has together with researchers from Germany published an article deriving an approximate solution of an old equation in statistical physics.

                      Woman writing calculations on whiteboard. Illustration from, by @thisisengineering.
                      First course on neural data analysis

                      In the autumn of 2021 we are going to run our first course on neural data analysis.

                      someone looking through the course overview on
                      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.

                      Rear view of two computer programmers, a young woman and a young man, discussing at office desk.
                      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.

                      Stefano Nichele standing in front of the OsloMet campus
                      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.

                      Picture of a wall at OsloMet with green climbing plants