Among Norway's foremost women in Artifical Intelligence

Professor Kjersti Engan is listed as the 11th most influential woman in the field of artificial intelligence.

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Professor Kjersti Engan ved IDE foran skjermer med MRI-bilder
Professor Kjersti Engan. Photo: Mari Løvås

On the occasion of Women's Day on March 8, NORA (Norwegian Artificial Intelligence Research Consortium) has published a list of the top 30 AI women in Norway. UiS professor Kjersti Engan is in 11th place on the list, among names such as Pinar Heggernes (NORA leader), Anita Schjøll Brede ( founder) and Inga Strümke (researcher at Simula Metropolitan Center).

See the full list here.

About the list:

Women play an important role in shaping the future of Tech and AI. By increasing the visibility of female role models in Tech and AI and promoting them, NORA aims to inspire a more inclusive agenda and equality for future generations. We believe in displaying the breadth of opportunities for AI in society, by showcasing researchers, practitioners and prominent actors involved in research, innovation and business.

This list is an attempt to give an overview of the incredible women that are a driving force in the field of artificial intelligence in Norway. By pushing the boundaries of what is possible, and by expanding our knowledge of the numerous and diverse potential of AI in health, infrastructure, climate, energy and language (amongst others), these women play an important role as role models for the future generation of female scientists, engineers and entrepreneurs.

NORA on Kjersti Engan:

At times, with all the buzz around artificial intelligence, one can question oneself what AI could be good for – which applications of AI could be important for humanity? We must face challenging truths in the world, such as the inequality on this planet that begins from birth. Through NewbornTime Kjersti Engan is working to analyse video footage of births and resuscitation of newborns. Through the use of artificial intelligence she and her colleagues are developing a system that shows the timeline from birth to resuscitation. The goal is that healthcare workers around the world can work to improve routines, so that we can ensure that more children survive. Engan is a Norwegian researcher in signal and image processing who works as a professor of electrical engineering and computer science at the University of Stavanger. She completed her doctorate in 2000 and was promoted to full professor in 2008. Her research interests are in signal and image processing and machine learning with emphasis on medical applications and in dictionary learning for sparse signal and image representation. She is the leader of BMDLab (Biomedical data analysis laboratory), and in addition to AI for newborn survival, she is currently working on AI in computational pathology and AI in perfusion CT for stroke patients.