lunduniversity.lu.se

AI Lund

An open network for research, education and innovation in the area of Artificial Intelligence at Lund University

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AI Lund– Contact & Contribute

You are welcome to contact AI Lund through any of the members of the coordination group.

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

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

Jutta Haider, Information Studies, Digital Cultures
AI literacy, infrastructure, libraries, search engines, everyday life, social study of algorithm

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

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. 

Jonas Ledendal, Business Law

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

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

Susanne Norrman,
Competence development and lifelong learning initiatives regarding AI 

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

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

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

You can also reach the network through info@aiml.lu.se.


How to contribute to the network
– and benefit

Contribute to the personal networking

  • Participate in events and workshops.
    Events are announced in web calendars and through the mailing lists.
  • Invite people to AI Lund events
  • Recommend people to register to the network as such through the web form.

Industry or public sector staff specifically

  • Recommend events and the network as such to colleagues
  • Engage in the open reference group that will meet in connection with some major AI Lund events
  • Pay attention to invitations to participate in research projects
  • Try to influence the planed commissioned educations in the AI Lund area

Lund university staff specifically

Below is a short introduction to how Lund University staff may contribute to and benefit from the Ai Lund network.

1. Contribute to the ai.lu.se web

  • info and links to AI related courses
  • short descriptions of research areas or research groups
  • news or links to news 
  • calendar events!
  • ask to be listed at ai.lu/researchers – via the webform
  • links to other AI-related web sites at LU

How: Email to: Jonas.Wisbrant@cs.lth.se.

2. Contribute to the AIML network object in the Research Portal through LUCRIS
Some content in LUCRIS is re-published at ai.lu.se.

  • Get affiliated by asking anyone who already is affiliated – or send an email to Jonas.Wisbrant@cs.lth.se.
  • Add up to three of your favourite AI Lund publications
  • Affiliate AI relateded research projects to AI Lund
  • Affiliate open AI related software and applications

3. Invite to AI related events and workshops that you would arrange anyway – or create new events and workshops. Contact Kalle Åström for funding or Jonas.Wisbrant@cs.lth.se for visibility in calendars or distribution of invitations via the moderated sendlists.

4. Contribute to the development and implementation of our upcoming commissioned educations

5. Invite guest speakers to your lectures
The webpage aiml.lu.se/researchers could be a starting point.

6 Invite participants to guest lecturers

7. Co-design research projects proposals

8. Suggest more ways to contribute :-)