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 (simulamet.no) 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
- Norwegian Artificial Intelligence Research Consortium (NORA, nora.ai)
- Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE, claire-ai.org)
- IBM Norge (ibm.com)
- Norwegian Open AI Lab (ntnu.edu)
- Gründergarasjen (grundergarasjen.no)
- NORA.startup (nora.ai)
Head of advisory board
Senior Research Scientist
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.
'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.
- '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:
Associated research groups and independent members
OsloMet Artificial Intelligence Lab consists of members from the following research groups and labs:
- Nordic Center for Sustainable and Trustworthy Artificial Intelligence (NordSTAR)
- Applied Artificial Intelligence
- Department of Machine Intelligence (simula.no)
- Autonomous Systems og Networks (ASN)
- ARIS – Automation, Robotics, and Intelligent Systems
- Mathematical Modelling
- Living Technology Lab (nichele.eu)
- Motion Analysis Laboratory
- Digital Innovation and Strategic Competence in Organizations (DISCO)
- Universal Design of ICT (UD-ICT)
- Art in Society
- Responsible Research and Innovation (wordpress.com)
- Design, Culture and Sustainability
Other researchers affiliated to the lab, but not mentioned in the research groups, are...
- Debesh Jha, PhD student
- Eilif Hjelseth, Professor
- Evrim Acar Ataman, Research Professor
- Marie Roald, PhD student
- Valeriya Naumova, Senior Research Scientist
Please contact us if you would like to join us.
Are you interested in studying artificial intelligence at OsloMet – Oslo Metropolitan University?
New two-year specialisations in applied artificial intelligence, Data Science, and Robotics and Control at master’s degree level is available from 2020, see the Master's Degree Programme, Applied Computer and Information Technology (ACIT).
Do you want to write your bachelor's thesis or master's thesis on artificial intelligence? Get in touch with us.
We have AI courses available at the bachelor level, master level, PhD level, as well as summer courses:
- DATA3750 – Applied Artificial Intelligence and Data Science Project (student.oslomet.no)
- DAVE3625 – Introduction to Artificial Intelligence (student.oslomet.no)
- ACIT4630 – Advanced Machine Learning and Deep Learning (student.oslomet.no)
- ACIT4610 – Evolutionary Artificial Intelligence and Robotics (student.oslomet.no)
- ACIT4510 - Statistical Learning (student.oslomet.no)
- ACIT4040 – Applied Artificial Intelligence Project (student.oslomet.no)
- ACIT4030 – Machine Learning for Images and 3D Data (student.oslomet.no)
- ACIT4080 – Intelligent User Interfaces (student.oslomet.no)
We are in the process of creating AI Makerspace, in collaboration with the OsloMet Makerspace.
We will host different courses related to artificial intelligence, and the courses will be open to all students at OsloMet.
Address and contact information
OsloMet – Oslo Metropolitan University, Oslo, Norway
Pilestredet 52, third floor, entrance A.
Contacts for the media and scientific cooperation – see core members above.
A student project from Evolutionary AI and Robotics is set to be presented and published as a conference paper
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.
The Department of Computer Science had the highest publication number of computer science departments at Norwegian universities in 2020.
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.
OsloMet is initiating a collaboration with the University of Hradec Králové in the Czech Republic on commercialisation of technological research.
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.
Pedro Lind has together with researchers from Germany published an article deriving an approximate solution of an old equation in statistical physics.
In the autumn of 2021 we are going to run our first course on neural data analysis.
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.
Stefano Nichele from OsloMet AI Lab and Nordic Centre for Sustainable and Trustworthy AI (NordSTAR) presented at the NORA webinar.
Nordic Centre for Sustainable and Trustworthy AI research (NordSTAR) will be OsloMets high quality academic environment in modern Artificial Intelligence.