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
- Norwegian Artificial Intelligence Research Consortium (NORA)
- Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE)
- IBM Norge
- Norwegian Open AI Lab
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 attract talent
- collaborate closely with the industry
- foster collaborations on artificial intelligence and applications
- host presentations, meetings, conferences and hackatons in the field of artificial intelligence
- 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: Sergey Demisov, 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:
- Applied Artificial Intelligence
- Department of Machine Intelligence
- Autonomous Systems og Networks (ASN)
- ARIS – Automation, Robotics, and Intelligent Systems
- Mathematical Modelling
- Living Technology Lab
- Motion Analysis Laboratory
- Digital Innovation and Strategic Competence in Organizations (DISCO)
- Universal Design of ICT (UD-ICT)
- Art in Society
- Responsible Research and Innovation
- Design, Culture and Sustainability
Other researchers affiliated to the lab, but not mentioned in the research groups, are ...
- Andre Brodtkorp, Associate professor
- Debesh Jha, PhD student
- Eilif Hjelseth, Professor
- Evrim Acar Ataman, Research Professor
- Marie Roald, PhD student
- Morten Irgens, special adviser
- Olav Lysne, Professor/Director
- Pål Halvorsen, Professor
- Peyman Mirtaheri, Professor
- Umair Mehmood Imam, Assistant Professor
- 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?
A new two-year specialisation in applied artificial intelligence 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 (course description in Norwegian)
DAVE3625 – Introduction to Artificial Intelligence
ACIT4630 – Advanced Machine Learning and Deep Learning
ACIT4610 – Evolutionary Artificial Intelligence and Robotics
ACIT4510 - Statistical Learning
ACIT4040 – Applied Artificial Intelligence Project
ACIT4030 – Machine Learning for Images and 3D Data
ACIT4080 – Intelligent User Interfaces
STKD6100 – Deep Learning for Medical Imaging
STKD6110 – Deep Learning for Medical Imaging
STK6800 – NeuroInsight: Data Science Approaches in Neuroscience
STK6810 – NeuroInsight: Data Science Approaches in Neuroscience
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.