AI Lund for Industry and Public Sector
AI Lund is constantly seeking new connections to strengthen the relationship between academia, work life, industry and public sector. Moreover, the collaboration gives both sides an opportunity to improve their understanding of artificial intelligence and engage in mutual research and development efforts.
- Recommend events and the network to colleagues.
- Engage in the open reference group that meets in connection to some major AI Lund events.
- Influence the planned commissioned education in the AI Lund area.
- Share your real world experience as our guest speaker.
- Pay attention to invitations for participation in research projects.
- Suggest potential research projects of interest to both parties.
- Consider opening opportunities for Industrial PhD programs in collaboration with AI Lund.
AI Lund is striving for continuous improvement, which makes your feedback invaluable for the organisation. Please reach out to us if you have any comments or suggestions regarding our events and other related activity.
General email: info [at] ai [dot] lu [dot] setitle="Opens internal link in current window"
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
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 Kandi, Business 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