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AI Lund for Lund University Employees

As an open network, AI Lund is determined to expand its audience and learn about new promising researchers in the field of artificial intelligence. The staff of Lund University gets to both engage in and co-create the possibilities of lifelong learning together with AI Lund.

Share and co-create

  • Share ideas for new potential courses
  • Share links to  news related to AI at Lund University
  • Add the AI-related events you organise to the shared calendar. Contact Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se (Jonas Wisbrant) for visibility in calendars and distribution of invitations via the moderated sendlists. Contact kalle [at] maths [dot] lth [dot] se (Kalle Åström) for funding.
  • Invite speakers from other parts om the university to your lectures 

Get affiliated through Lund University research portal

Contribute to the network object for AI research at Lund University in the Research Portal through LUCRIS: 

  • Get affiliated by asking anyone who already is affiliated – or send an email to Jonas [dot] Wisbrant [at] cs [dot] lth [dot] se (.)
  • Add up to three of your favourite AI publications
  • Affiliate AI-related research projects to network entity.
  • Affiliate open AI-related software and applications 

Help the network grow

  • Invite your colleagues to the AI Lund events
  • Foster the curiosity about AI in your students
  • Provide feedback and let us know where we could improve

General email:  info [at] ai [dot] lu [dot] se


Sonja Aits, Medical Faculty and Lund Institute of Advanced X-Ray and Neutron Science (LINXS)
AI/ML methods in Medical and Biological Research, AI/ML for structural biology, neutron and x-ray science, Educational tools for learning about AI, AI in health care/pharma

Christian Balkenius, Cognitive Science
Neurosciences, Zoology, Robotics, cognitive development, cognitive robotics, learning. Director of the WASP HS Graduate School.

Bo Bernhardsson, Automatic Control
Modeling and control of uncertain systems. Programme Director of the Master's Programme in Machine Learning, Systems and Control.

Anamaria Dutceac Segesten, European Studies
AI as a method in social science research, computational social science, NLP, social network analysis, AI and politics

Magnus Ekblad, Faculty Office Faculty of Social Sciences
Analyst

Einar Heberg, Clinical Physiology
image processing, medicine, cardiac imaging, big data, image segmentation

Maria Hedlund, Political Science
experts, democracy, ethics, policy-making, public administration, responsibility, legitimacy

Karima KandiBusiness developer and process coordinator at Lund University Commissioned Education

Stefan Larsson, Technology and Society 
sociolegal researcher studying issues of consumer trust, accountability and transparency on data-driven markets, digital platforms; AI, data & retail; AI governance; sustainable AI. 

Jacek Malec, Computer Science
knowledge representation and reasoning, semantic systems, collaborative intelligent robots

Susanne Norrman, External Relations
competence development and lifelong learning initiatives regarding AI

Mattias Ohlsson, Astronomy and Theoretical Physics
development of machine learning algorithms, applications of AI/ML within medicine, medical decision support

Mikael Sundström, Political Science
Intersection IT/Democracy, Leadership and Information security. Project for mapping and coordination of AI education at Lund university

Eva Westin, Automatic Control
HR, events, administration, communication

Robert Willim, Digital Cultures
future visions, art, aesthetics, creative industries, science fiction, imaginaries, everyday life, connected homes

Jonas Wisbrant, Computer Science
Strategic and operative human communications, network development, research communication and dissemination

Kalle Åström, Mathematical Imaging 
Computer Vision, Image Analysis, Machine Learning, Mapping, Localisation, Positioning, Audio, Radio, Medical Image Analysis. Coordinator AI Lund