OsloMet Artificial Intelligence Lab

• 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:

  • Nordic Center for Sustainable and Trustworthy Artificial Intelligence (NordSTAR) 
  • 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.

AI education

• AI education

  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:

  Bachelor

  • DATA3750 – Applied Artificial Intelligence and Data Science Project (course description in Norwegian)
  • DAVE3625 – Introduction to Artificial Intelligence

  Master

  • 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 

  PhD

  PENG9560 – Topics in Artificial Intelligence and Machine 

  Summer school

  • STK6800 – NeuroInsight: Data Science Approaches in Neuroscience

  AI Makerspace

  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.

Contact

• 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.