AI experts at Lund University

Mikael Sundström, a political scientist, can comment on the intersection between IT in the broadest sense (including AI) and social development, communication and democracy.
+46 70 581 17 03
mikael [dot] sundstrom [at] svet [dot] lu [dot] se (mikael[dot]sundstrom[at]svet[dot]lu[dot]se) 
https://portal.research.lu.se/en/persons/mikael-sundstr%C3%B6m/

Annika Fredén is a researcher who conducts research into how AI can be used and developed to address political science issues, with a focus on political behaviour. 
+46 46 222 45 54
annika [dot] freden [at] svet [dot] lu [dot] se (annika[dot]freden[at]svet[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/annika-fred%C3%A9n/

James Pamment is a researcher who focuses on undue influence by foreign powers and AI, and is an associate professor/docent in strategic communication.
+46 42 35 65 82 
james [dot] pamment [at] isk [dot] lu [dot] se (james[dot]pamment[at]isk[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/james-pamment/

Mia Liinason, professor of gender studies, can comment on polarisation, affect, digital platforms, expert knowledge and AI chatbots
+46 462229774
mia [dot] liinason [at] genus [dot] lu [dot] se (mia[dot]liinason[at]genus[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/mia-liinason/

Olof Sundin researches how generative AI impacts the control of access to information – including disinformation – in society. Can comment on how AI-generated search responses undermine source criticism and, more specifically, how generative AI affects schools. 
+46 46 222 09 66
olof [dot] sundin [at] kultur [dot] lu [dot] se (olof[dot]sundin[at]kultur[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/olof-sundin/

Nils Holmberg, a researcher in strategic communication, can comment on computational content analysis using techniques such as natural language processing and computer vision
+46 42356593
nils [dot] holmberg [at] iko [dot] lu [dot] se (nils[dot]holmberg[at]iko[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/nils-holmberg/

Lupita Svensson, associate professor in social work, is a researcher who conducts research into how digitalisation and AI affect social work and social services as a public sector activity. 
+46 735043186
lupita [dot] svensson [at] soch [dot] lu [dot] se (lupita[dot]svensson[at]soch[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/lupita-svensson/

Volker Krueger, professor, conducts research into industrial robotics and how they can be made more intelligent.
+46 722351548
volker [dot] krueger [at] cs [dot] lth [dot] se (volker[dot]krueger[at]cs[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/volker-krueger/

Alexandros Sopasakis, senior lecturer in mathematics. Focuses on machine learning and AI. Can comment on how AI is used in agriculture to optimise, for example, fertiliser and irrigation, as well as to predict harvests and on how to access open data from satellites. 
+46 462224440
alexandros [dot] sopasakis [at] math [dot] lth [dot] se (alexandros[dot]sopasakis[at]math[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/alexandros-sopasakis/

Mattias Ohlsson, professor, conducts research on AI and machine learning and their applications in healthcare. 
mattias [dot] ohlsson [at] mgeo [dot] lu [dot] se (mattias[dot]ohlsson[at]mgeo[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/mattias-ohlsson/

Kalle Åström, professor, is a researcher who conducts research on machine learning, computer vision, navigation, echolocation and medical image analysis. 
+46 462224548
karl [dot] astrom [at] math [dot] lth [dot] se (karl[dot]astrom[at]math[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/kalle-åström/

Alexandros Sopasakis, associate senior lecturer in mathematics, researches machine learning and AI. He can comment on which AI methods are suitable for different types of research questions. 
+46 462224440
alexandros [dot] sopasakis [at] math [dot] lth [dot] se (alexandros[dot]sopasakis[at]math[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/alexandros-sopasakis/

Per Runeson, professor of computer science, can comment on AI software from a societal and systems perspective. He can also discuss (open) data for training in machine learning and language models. 
+46 462229325
per [dot] runeson [at] cs [dot] lth [dot] se (per[dot]runeson[at]cs[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/per-runeson/

Volker Krueger, professor, conducts research into industrial robotics and how they can be made more intelligent. 
+46 722351548
volker [dot] krueger [at] cs [dot] lth [dot] se (volker[dot]krueger[at]cs[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/volker-krueger/

Emma Söderberg, senior lecturer, is a researcher who is conducting research into how digital tools, such as AI, can be used to facilitate software development. 
emma [dot] soderberg [at] cs [dot] lth [dot] se (emma[dot]soderberg[at]cs[dot]lth[dot]se)
https://portal.research.lu.se/en/persons/emma-söderberg/

Stefan Larsson, associate professor, a researcher in AI, norms and society, can comment on its application and regulation in the Swedish and Scandinavian public sectors. 
+46 462227158
stefan [dot] larsson [at] lth [dot] lu [dot] se (stefan[dot]larsson[at]lth[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/stefan-larsson/

Johan Axhamn, associate professor in business law. Can comment on AI and intellectual property law, as well as copyright issues relating to the data underlying generative AI. 
+46 462223671
johan [dot] axhamn [at] har [dot] lu [dot] se (johan[dot]axhamn[at]har[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/johan-axhamn/

Erik Persson, a researcher in practical philosophy who can comment on ethics in emerging technologies, specifically in the field of AI. 
erik [dot] persson [at] fil [dot] lu [dot] se (erik[dot]persson[at]fil[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/erik-persson/

Valentina Fantasia, a researcher in developmental psychology. She can comment on whether people understand robots. 
valentina [dot] fantasia [at] lucs [dot] lu [dot] se (valentina[dot]fantasia[at]lucs[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/valentina-fantasia/

Stefan Larsson, associate professor, a researcher in AI, norms and society, who can comment on how society perceives robots and interactive avatars for bereaved families. 
+46 462227158
stefan [dot] larsson [at] lth [dot] lu [dot] se (stefan[dot]larsson[at]lth[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/stefan-larsson/

AI is rapidly transforming healthcare, from diagnostics and medical imaging to personalized treatment and decision support. The following researchers at Lund University can comment on current advances and challenges in AI in medicine.

Stefan Larsson, associate professor, a researcher in AI and society, can comment on how the healthcare sector is responding to AI solutions.
+46 46 222 7158
stefan [dot] larsson [at] lth [dot] lu [dot] se
https://portal.research.lu.se/en/persons/stefan-larsson/

Maj Stenmark, associate senior lecturer, is a robotics researcher interested in human-robot interaction, robot learning, and computer vision with focus on medical applications. maj [dot] stenmark [at] cs [dot] lth [dot] se
https://portal.research.lu.se/en/persons/maj-stenmark/

Kristina Lång is a researcher and breast radiologist who can speak about image analysis in mammography and the challenges of implementing AI in healthcare settings.
kristina [dot] lang [at] med [dot] lu [dot] se (kristina[dot]lang[at]med[dot]lu[dot]se) 
https://portal.research.lu.se/en/persons/kristina-lang

Anders Bjartell, Professor of Urological Cancer Research, AI in digital pathology and biomarkers for prostate cancer. Research into how AI can improve diagnosis and prognosis in prostate cancer.
https://portal.research.lu.se/en/persons/anders-bjartell/
anders [dot] bjartell [at] med [dot] lu [dot] se (anders[dot]bjartell[at]med[dot]lu[dot]se)
+46 705952683

Jonas Björk, professor of occupational and environmental medicine, and Malin Inghammar, associate professor in Infectious Diseases
AI for detecting future pandemics. AI–based methods using register and mobile data for the early detection and management of pandemics.
https://portal.research.lu.se/en/persons/jonas-bj%C3%B6rk/
jonas [dot] bjork [at] med [dot] lu [dot] se
+46 462226916

Malin Inghammar, associate professor in Infectious Diseases
https://portal.research.lu.se/en/persons/malin-inghammar/
malin [dot] inghammar [at] med [dot] lu [dot] se

Johan Nilsson, professor of thoracic surgery and research team leader for artificial íntelligence and bioinformatics in thoracic surgery. AI and bioinformatics in thoracic surgery. Leads a research team focused on artificial intelligence and bioinformatics related to cardiac and pulmonary surgery.
https://portal.research.lu.se/en/persons/johan-nilsson-4/
johan [dot] nilsson [at] med [dot] lu [dot] se
+46 46 222 9008

Linda Johnson, associate professor in cardiovascular epidemiology
AI for the analysis of long–term ECG. AI can replace humans in the analysis and assessment of long-term ECG. Result: 14 times fewer missed diagnoses in favour of AI.
https://portal.research.lu.se/en/persons/linda-johnson/
linda [dot] johnson [at] med [dot] lu [dot] se

Lisa Rydén, professor of surgery
AI to reduce surgery for breast cancer. Training an AI model to identify breast cancer patients who can avoid underarm surgery. In a recently completed study, the model shows that just over 40 per cent of current underarm surgeries could be avoided.
https://portal.research.lu.se/en/persons/lisa-ryden/
lisa [dot] ryden [at] med [dot] lu [dot] se
+46 706720923

William Son Galanza, postdoctoral researcher in applied gerontology
AI model for ageing. Model that categorises activity patterns in older people.
https://portal.research.lu.se/en/persons/william-son-galanza/
william_son [dot] galanza [at] med [dot] lu [dot] se

Ulf Ekelund, professor of emergency medicine
AI and medical decision support in emergency medicine
https://portal.research.lu.se/en/persons/ulf-ekelund/
ulf [dot] ekelund [at] med [dot] lu [dot] se (ulf[dot]ekelund[at]med[dot]lu[dot]se)
+46 702049480

Henrik Jörntell, professor in neurophysiology
AI and the brain’s sensorimotor functions
henrik [dot] jorntell [at] med [dot] lu [dot] se (henrik[dot]jorntell[at]med[dot]lu[dot]se)
+46 46 222 7764
https://portal.research.lu.se/sv/searchAll/index/?search=Henrik+J%C3%B6rntel

Miranda Kajtazi, associate professor of informatics, researches how artificial intelligence is reshaping the conditions for people’s safety, dignity and equal participation in the digital society. Her work on digital inequalities shows that AI systems not only automate decision-making, but also increasingly determine whose voices are heard, whose risks are amplified and whose vulnerabilities are exposed, thereby widening the gap between rich and poor. 
+46 7037887370
miranda [dot] kajtazi [at] ics [dot] lu [dot] se (miranda[dot]kajtazi[at]ics[dot]lu[dot]se)
https://portal.research.lu.se/en/persons/miranda-kajtazi/

Markus Lahtinen, lecturer in informatics, researches the opportunities and risks associated with the use of advanced security technology for law enforcement and security purposes. He most frequently comments on issues relating to the experiences and potential of CCTV surveillance and facial recognition in relation to the public’s need for privacy. 
+46 46 222 91 59 
markus [dot] lahtinen [at] ics [dot] lu [dot] se (markus[dot]lahtinen[at]ics[dot]lu[dot]se)
https://portal.research.lu.se/sv/persons/markus-lahtinen/

Björn Svensson, lecturer in informatics, researches language models and has worked extensively on integrating generative AI into undergraduate and postgraduate education, particularly within systems science programmes. He can comment on the effective integration of generative AI, its effects, measures and incentive structures, as well as the design of AI policy. 
+46 462228183
bjorn [dot] svensson [at] ics [dot] lu [dot] se (bjorn[dot]svensson[at]ics[dot]lu[dot]se)
https://portal.research.lu.se/sv/persons/björn-svensson/

Patrik Stoopendahl, a postdoctoral researcher in business administration, is researching how generative AI is used in the retail industry, with a focus on value creation, efficiency and new ways of working. He is also interested in how generative AI influences how consumers make purchasing decisions, so-called “customer journeys”, and the implications of “agent-based commerce”. In addition to his research interest in generative AI, he is also the course coordinator for an advanced-level elective course in which students learn both how to use generative AI and how to reflect on generative AI from critical, strategic and legal perspectives. Patrik Stoopendahl represents the School of Economics as ‘Focus Group Leader for AI and Digitalisation’ in the collaboration between Lund University and Alfa Laval. 
+46 70 536 67 61
patrik [dot] stoopendahl [at] fek [dot] lu [dot] se (patrik[dot]stoopendahl[at]fek[dot]lu[dot]se)
https://portal.research.lu.se/sv/persons/patrik-stoopendahl/

Petra Gyöngyi, senior lecturer, conducts research in the sub-field of AI and justice and is able to comment on legal AI, including consequences for European fundamental rights protection and judicial independence.
petra [dot] gyongyi [at] jur [dot] lu [dot] se (petra[dot]gyongyi[at]jur[dot]lu[dot]se)
+46 46 222 10 51

Alberto Rinaldi, assistant professor, conducts research on AI, surveillance technologies, and biometric systems, and can comment on their regulation and implications in security, defence, and warfare contexts. 
alberto [dot] rinaldi [at] jur [dot] lu [dot] se (alberto[dot]rinaldi[at]jur[dot]lu[dot]se)
+46 46 222 11 79