21 April - Anna Selina Jenul (REALTEK)

Av Ellen Opsahl Mæhle

PhD degree – Trial Lecture and Public Defence
Anna Selina Jenul, Faculty of Science and Technology (REALTEK) will defend her PhD thesis "Data- and Expert-driven Feature Selection for Predictive Models in Healthcare. Towards Increased Interpretability in Underdetermined Machine Learning Problems" on 21 April 2023.

Norwegian title of thesis:
"Data- og ekspertdreven variabelseleksjon for prediktive modeller i helsevesenet. Mot økt tolkbarhet i underbestemte maskinlæringsproblemer"

Prescribed subject of the trial lecture:
"Artificial intelligence in medical diagnostics: State-of-the-art and clinical applications"

Time and place for the trial lecture and the public defence:
Friday 21 April 2023

10:15 - Trial lecture
12:15 - Public defence

Place: Festsalen (U215) Urbygningen, NMBU

Streaming link for Trial lecture: https://nmbu.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=a92cf65a-4919-448e-b9e2-afb200dd8fd1
Streaming link for Defence: https://nmbu.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=82649f74-2b4f-40c6-8dc7-afb200de0504

Evaluation committee:
First opponent: Professor Anita Kloss-Brandstätter, Carinthia University of Applied Sciences, Austria
Second opponent: PhD Matthan W.A. Caan, Amsterdam University Medical Centers, Netherlands
Committee coordinator: Professor Jon Glenn Omholt Gjevestad, REALTEK, NMBU

Main supervisor: Associate professor Oliver Tomic, REALTEK, NMBU

Professor Kristian Hovde Liland, REALTEK, NMBU
Professor Cecilia Marie Futsæther, REALTEK, NMBU
Professor Ulf Geir Indahl, REALTEK, NMBU
Professor Jürgen Pilz, Alpen-Adria-Universität Klagenfurt, Austria

The doctoral thesis is available for public review. If you want access to the thesis in pdf, please send an email to phd-realtek(at)nmbu.no. Please include name of candidate and thesis number 2023:34, 1894-6402, ISBN 978-82-575-2062-5

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